As an ardent economist, and a philosophy geek I’ve always had a thing for designing analogies between academic work and curious studies; recent paper of Falk and Tsoukalas, taking all over the internet, immediately echoed Huxley in my mind. Well, the convergence of Huxley’s Brave New World and the findings presented in “The AI Layoff Trap” appeared to me as a chilling synthesis: a world where technological efficiency and market competition inadvertently dismantle the social and economic foundations which they were actually built to serve. While Huxley’s 1932 dystopia warns of a society engineered for stability at the cost of humanity, Falk and Tsoukalas’s 2026 paper provides the mathematical framework for how a modern, competitive economy might “automate its way to boundless productivity and zero demand”.

The Automation Arms Race: A Modern Caste System

In Brave New World, stability is maintained through a rigid caste system (Alphas to Epsilons, actually), where every individual’s consumption and labor are perfectly calibrated. “The AI Layoff Trap” ,on the other hand, paints a picture of a hectic “automation arms race.” In this scenario, companies find themselves stuck in a competitive loop where they feel the need to automate to stay afloat, even though they understand that this collective move ultimately harms the consumer base, the workers (the guys who earn money and then spend money, capitalism right?), they depend on. This economic “Red Queen effect” is a bit like Huxley’s world, where technology isn’t a way to free us, but a way to control us and eventually stop moving forward. In the 2026 model, “better” AI doesn’t really fix the problem; it just makes things worse, like how the tech in Huxley’s London only makes the state’s sterile, demand-driven stability even stronger.

The Demand Externality: The Erosion of the “Savage” Market

The “AI Layoff Trap” hinges on something called the demand externality. Companies automate because they get all the savings from replacing a worker with AI, but they only have to deal with a small part of the overall drop in consumer demand. This sets up a bit of a “Prisoner’s Dilemma,” where smart, forward-thinking companies are all racing toward a financial cliff. Two things come up from this: Self-Destructive Productivity and The Consumption Trap. Self-Destructive Productivity happens when companies get super productive, but they run into a problem because the workers they replace, the main consumers (remember, capitalism!), don’t have enough money to buy things anymore. The Consumption Trap is a bit more intense. It’s like in Huxley’s world, where the idea is that “ending is better than mending.” High consumption is seen as a social obligation. The paper suggests that today’s companies are unintentionally breaking this obligation by taking away the tools (wages) that make it possible.

The Failure of Traditional Failsafes

Huxley’s world-state keeps things balanced with Soma and conditioning. Nowadays, economists sometimes suggest “reinstatement effects” (like creating new jobs) or Universal Basic Income (UBI) as ways to keep things steady. But the paper suggests that UBI and Transfers might not be as effective as we think. The authors show that while UBI could improve living standards, it doesn’t change the incentive to automate. This means the drive to automate too much continues. Plus, Market Adjustments: Unlike past technological changes that usually sorted themselves out, the “AI Layoff Trap” indicates that in highly competitive areas, even if we know what’s happening and adjust wages, we might still struggle to close the gap between automation and the workforce.

Conclusion: The Pigouvian Tax as the World Controller

The paper wraps up by suggesting that only a Pigouvian automation tax, set to match the uninternalized demand loss, can achieve a cooperative optimum. Think of this tax as a “World Controller,” a necessary central intervention to stop the competitive market from self-destructing. Huxley’s dystopian world came about through complete top-down design. The “AI Layoff Trap” highlights the risk of ending up in a similar sterile, human-less efficiency, not by design, but through the “strictly dominant” rational choices of firms in a market that has lost its human touch. Both the novel and the paper serve as a friendly reminder: without intervention, the “arms race” of efficiency could lead to a world where there’s plenty to buy, but no one left to buy it… And maybe, no one left to care (enter the dramatic music!).

Today, wherever we turn our attention, we encounter news about the accelerating development of artificial intelligence, whether in the form of new updates, technological breakthroughs, or dystopian scenarios. Yet we must pause and ask ourselves a critical question:

Can we truly accept this dizzying pace, and more importantly, can we cognitively internalize it?

To be honest, not entirely.

Does knowing software or coding still carry the same significance? Are the vast bodies of knowledge once preserved in thousands of pages of encyclopedias equivalent to the datasets of artificial intelligence? Has humanity’s accumulated legacy of learning already transformed yesterday into the obsolete past of tomorrow?

When we examine the findings of psychology and neuroscience, we encounter what appears to be an insurmountable biological barrier: the sensory thresholds and cognitive processing capacity of the human mind.

By virtue of our evolutionary development, we can only interpret incoming stimuli from our environment at a certain frequency, sequentially, and within a limited volume. The amount of information a human being can process simultaneously is highly constrained. Artificial intelligence, however, has already surpassed this biological and cognitive threshold by processing enormous datasets simultaneously and in parallel.

What now exists is a vast universe of data and correlations that extends far beyond the world we perceive as “reality.” This is not merely a technological leap; it represents an ontological transformation. The very concept of reality is being epistemologically redefined before our eyes.

In truth, humanity’s sensory threshold has been exceeded before. Even a simple calculator can compress calculations that might take days into mere seconds. Radar systems allow threats approaching from thousands of kilometers away to be detected minutes in advance.

However, the threshold discussed here refers to something far more complex: the ability to process continuously flowing real-time information within microseconds, analyze it, transform it into valuable and actionable intelligence, and present it back to the operator. Moreover, this process is becoming increasingly autonomous, interpreting past data and gaining the capacity to act according to its own calculated preferences.

Today, the fate of nations is determined less by lengthy negotiations at diplomatic tables and more by the algorithms running through silicon chips inside climate-controlled server rooms.

The cliché that “robots will fight wars in the future” is no longer a hypothetical scenario of tomorrow; it has become one of the most pressing and tangible realities of today. States are inevitably moving in this direction. Conventional paradigms of warfare have already given way to asymmetric and hybrid warfare models.

Decision-makers now rely on AI-supported autonomous systems as their most influential advisors when taking critical steps from national security strategies to global economic planning.

In the defense industry, companies such as Palantir demonstrate this transformation through AI-based predictive policing and autonomous strategic targeting systems. Whether a target should be struck is no longer decided by a sweating, exhausted soldier or commander burdened by moral hesitation; instead, the decision is made by a dispassionate algorithm capable of analyzing millions of data points per second.

But how does learning occur when exabytes of data (1 EB = 1,000,000 TB) are processed under varying circumstances?

At the core of the billions of dollars that governments and multinational technology corporations invest in artificial intelligence lies a single motivation: transforming raw data into a strategic weapon and an unparalleled commercial advantage.

Artificial intelligence today is not a magical tool. Fundamentally, it is a massive mathematical structure operating through machine learning, which relies on statistical probabilities, and deep learning, architectures inspired by the neural networks of the human brain.

The process begins with a massive data harvest in which we all participate voluntarily or involuntarily.

Companies collect and store virtually everything: our likes on social media platforms, credit card transactions, GPS location data from our phones, and even the heart-rate measurements recorded by our smartwatches. These streams of raw data accumulate into a vast Big Data reservoir.

The data is then fed into neural networks to train algorithms.

What artificial intelligence essentially performs is a form of contextual and pattern detection. It identifies statistical relationships among millions of parameters hidden correlations and anomalies that human perception would never identify.

For example, a language model used by millions of people does not magically “converse.” Rather, it scans through a corpus of trillions of words and statistically calculates which word is most likely to follow the user’s query.

Similarly, a defense algorithm may analyze real-time satellite imagery and thermal data to predict with high accuracy where enemy forces will be located in the next hour.

The unsettling aspect is that technology companies are not merely perfecting their algorithmic models using the data we generate. Through behavioral manipulation and micro-targeting, they can predict what we will buy, whom we will vote for, and what we will believe thereby continuously reshaping both market dynamics and political landscapes.

Cognitive Security and the “Invisible Threshold” in the Age of Information Overload

In the ever-expanding digital universe, where modern individuals are subjected to constant information bombardment, the “invisible threshold” has likely already been crossed.

The sophistication of deepfake technologies, the echo chambers constructed by algorithms, and the hyper-realities generated flawlessly by artificial intelligence are significantly eroding individuals’ ability to distinguish truth from fiction.

When a technology can make us appear to say things we have never uttered using our own voices and faces, the defense of truth becomes increasingly difficult.

How prepared, then, are societies and individuals for this “perfect storm”?

We must admit that our existing sociological, psychological, and especially legal frameworks are not equipped to keep pace with such speed. Laws take years to formulate, whereas algorithms are updated within seconds.

To survive and adapt to this new era, we urgently need a robust strategy built upon several fundamental pillars.

Strengthening Cognitive Immunity, Regulation-Resolution, Ethics

Traditional media literacy is no longer sufficient. Both younger generations and existing adults must acquire algorithmic literacy.

A society capable of understanding why certain content appears on its screens, how its data is filtered, and how information streams are manipulated will develop a far more resilient defense against digital perception operations.

The black box problem of artificial intelligence represents one of the most urgent legal challenges.

When an algorithm denies someone a loan or decides to strike a target on the battlefield, it must be capable of explaining why it made that decision.

Autonomous systems, especially those influencing critical governmental, legal, and security decisions, must operate on transparent and auditable foundations.

The direction and development of artificial intelligence cannot be left solely to the discretion or commercial ambitions of a few Silicon Valley executives.

Cybersecurity and AI ethics must be integrated into binding international agreements similar to those regulating nuclear weapons or climate change within a globally recognized protocol.

From Past Evolution to Future Implications

When we look back at the historical trajectory of artificial intelligence, we see how profoundly the seed planted by Alan Turing in the 1950s, when he asked, “Can machines think?”, has grown.

From the rule-based expert systems of the Cold War era to the deep learning revolution of the 2010s, the field has experienced a long and turbulent evolution.

Algorithms initially designed for narrow tasks such as playing chess, solving specific mathematical problems, or searching databases have evolved into Generative AI systems capable of writing award-winning poetry, producing complex legal analyses, generating code, and independently selecting targets on the battlefield.

In addition, the rapidly expanding ecosystem of plugins and extensions allows these systems to adapt to an ever-wider range of contexts.

When we examine this historical journey, humanity finds itself confronting an unprecedented possibility: for the first time in history, we risk shifting from the role of subject (the decision-maker) to that of object (the entity about which decisions are made) in relation to a technology we created.

Artificial intelligence has moved far beyond being a simple tool or a reflection of human intelligence; it is rapidly evolving into an independent actor that directly shapes the global economic and political system.

In this new era, where the monopoly over defining reality is gradually shifting from humans to algorithms, the path to survival and progress is neither to unplug machines nor to reject the technology altogether.

The real challenge is to reclaim control and reconstruct artificial intelligence upon an ethical foundation centered on human dignity, transparent, accountable, and subject to oversight, so that it does not threaten our own existence.

Otherwise, beyond the invisible threshold we have crossed, a future may await us in which we become prisoners of the very code we wrote: a future described as “perfect,” yet ultimately a dramatic reflection of our past.

In the opening pages of Atlas Shrugged, the society presented by Rand is haunted by a curios question: “Who is John Galt?” Well, question is less a search for a person than a quiet recognition that something essential has disappeared. In her story, that missing element is actually the creative mind; the force she calls the “motor of the world.” Recently, as OpenAI CEO Sam Altman herald the coming “Intelligence Age,” a similar question emerges quietly again. The industrial age, at least as we understand it, extended human muscle through machines. Artificial intelligence, by contrast, extends something deeper: the human intellect itself. Still, this transformation raises a rather difficult question. In a world where intelligence flows like a mighty river, accessible to all, will it unleash the boundless creativity of the human spirit, or will it morph into a towering monolith, a dependency that shackles the soul?

The New Rearden Metal: Intelligence as a Utility

In his speech, Altman has suggested that intelligence could become a utility, as accessible and cheap as electricity. In an optimistic consideration (like a commercial optimism), this could mean a world where reasoning power, design capability, and problem-solving are available to anyone with access to technology. As Rand imagined, such a breakthrough would resemble Rearden Metal; a discovery that radically increases the efficiency of human life. Throughout the annals of time, history unveils that technological revolutions seldom confine themselves to the realm of mere technicality. In the grand saga of innovation, when a revolutionary technology emerges, mighty institutions rise with determination to regulate, manage, and occasionally wield control over its formidable power. Contemporary AI debates, calls for strict licensing, centralized oversight, or development pauses reflect this instinct. Some of these concerns are obviously understandable. Yet they also raise an uncomfortable possibility:that regulation might sometimes protect existing institutions from disruption rather than society from danger.

The Problem of the “Metered Mind”

Here, the deeper tension lies actually not in the AI itself, but in how it is delivered. If intelligence is provided mainly through centralized platforms; large corporations (like Open AI, DeepSeek, Anthropic, Gemini etc.) or maybe state-backed infrastructure; possibility of individual users dependence on systems they do not control may emerge. At this point, the metaphor indeed becomes very simple: if access to intelligence is metered, then the entity controlling the meter ultimately controls the flow, smart right… Returning to Rand’s fiction, governments seize factories; however, in a digital world, control might look a little bit different. It could mean restricting access to computational resources, limiting model capabilities, or simply turning off an API. The peril lies not in the realm of technology, but in the philosophical abyss where humanity risks relinquishing its cognitive sovereignty to enigmatic systems beyond their own mastery.

Automation and Intellectual Passivity

Another possible concern may also emerge at the cultural level. AI systems can now generate code (maybe reconsider majoring at Computer Science…), essays, images, and even policy proposals. If used well, and responsibly, these tools can expand human productivity. But if they are used passively, they may also encourage and enhance already omnipresent intellectual laziness. Now, Rand described a type of character she called the “second-hander” someone who relies on the thinking of others rather than engaging reality directly. A society that consumes AI-generated output without understanding the principles behind it risks drifting toward a similar condition. In a realm where the forge of knowledge blazes with relentless fervor, the tools of creation churn forth wisdom in abundance. Yet, as the tapestry of understanding unravels, only a select few wield the insight to decipher the arcane processes behind this intellectual alchemy. The result could be a strange paradox: greater technological power combined with weaker intellectual independence.

Decentralization and Cognitive Sovereignty

But there’s another way to think about it. Open Source AI and local computing could let us share intelligence instead of keeping it all in one place. Instead of depending on huge cloud systems, people and small groups could use strong models on their own. This is a bit like Rand’s “strike,” but in a whole new way. In a world where the digital realm reigns supreme, creators stand as the masters of their own destiny. They wield their tools with unparalleled precision, crafting masterpieces that echo through the corridors of time. With unwavering control over their intellectual output, they forge a legacy that transcends the boundaries of the physical world, leaving an indelible mark on the tapestry of human history. In the realm of cognitive sovereignty, individuals wield the power to think, design, and create with unshackled freedom, unbound by the chains of centralized authority. Here, AI transcends its role as a mere managed utility, transforming into a personal instrument of reasoning, empowering each mind to forge its own path of innovation and discovery.

The Choice Ahead

It seems like the future of AI will probably depend on how we balance these two ideas. One idea thinks of intelligence as a public utility, like electricity safe, consistent, and managed by a central authority. The other idea sees AI as a way for human creativity to spread out, easily accessible to everyone, and hard for any one group to control. Both ways have their pros and cons. But the big question that’s been around forever is: Will technology help people make their own choices, or will it slowly take over and make them rely on it? As we move into the Intelligence Age, the “engine of the world” might be starting up again, not in factories or trains, but in computers and programming. The thing that’s still up in the air is whether we’ll trust this new engine, or try to keep a close eye on how it runs.

The Vatican’s newspaper, L’Osservatore Romano, has issued a clear message regarding Peter Thiel’s Rome seminar on the Antichrist and technology. In an article written by Eugenio Mazzarella, Thiel’s attribution of a “salvific” role to technology is sharply criticized. According to Mazzarella, the vision encapsulated in Thiel’s well-known book title Zero to One does not morally transform the human being; it merely places more powerful tools in the hands of the same old human. “The true leap must occur not in technology, but in the human heart.”

The following analysis proceeds through selected direct quotations from Mazzarella’s article. These quotations are included in relevant sections of the analysis to make visible the theological and conceptual backbone of the text. The final part of the analysis contains my own reflections.

The article by Eugenio Mazzarella interrogates, from a theological perspective, the narrative constructed by modern techno-elites around humanity, salvation, history, and power. At the center of the text lies a discussion of the nature of the role that Thiel attributes to technology. According to Mazzarella, Thiel’s “Zero to One” vision represents not a leap that morally transforms the human being, but rather an approach that expands existing human capacities. Within this framework, the article advances the argument that “the real leap must occur not in technology, but in the human heart,” and situates this transformation within Christian theology, where it is associated with Christ.

At this point, the text interprets transhumanist and AI-centered visions of salvation as a form of secular “soteriology.” This reading suggests that the boundaries between technology and soteriology (the doctrine of salvation) have become increasingly blurred.

“That Peter Thiel’s techno-theology has made its way to Rome is not surprising. A political theology inevitably entails a worldly apostolate, a search for adherents: followers, the awakened, the converted. The arrival in Rome was unavoidable. The issue, as always, is the ‘Constantinian’ resistance: to give to God what belongs to God and to Caesar what belongs to Caesar.”

Another point emphasized by Mazzarella concerns the structural significance of Thiel’s intellectual trajectory finding resonance in a symbolic center such as Rome. According to him, every political theology inevitably produces a worldly counterpart, with followers, spheres of influence, and claims of transformation. In this context, Thiel’s presence in Rome can be interpreted as part of a broader interaction between technology, belief, and power. The classical distinction invoked in the text – “render unto God what is God’s and unto Caesar what is Caesar’s” – points to the historical depth of this tension.

“Thiel’s arguments possess a certain appeal, especially for both old and new ‘temporalists’ of the Roman Catholic faith. There is no shortage of those who genuflect before his entrepreneurial genius and admire the ‘quantum leap’ promised by his technological preaching. For him, innovation is not about refining and maximizing profit from existing technologies, but about creating new ones – bringing into existence what does not yet exist, producing epigenetic leaps in technological evolution through start-ups.”

The article does not overlook why Thiel’s approach is attractive. For those who see technology as the engine of historical transformation, the idea of a “quantum leap” generates a powerful field of attraction. Thiel’s definition of innovation – not as incremental improvement but as the creation of the unprecedented – reflects a vision built on entrepreneurship, risk, and radical novelty.

“The problem is that this quantum leap, this claim to technological transcendence, rests – within Thiel’s techno-theology – on a fundamentally negative, even hopeless anthropology. There is no hope for the human being (as in Girard, read alongside Hobbes’s homo homini lupus). This perspective does not lead to a genuine transformation of the human. It merely results in the material caricatures of post-humanism – ‘enhanced’ or transhuman beings. By contrast, in religious anthropology, this quantum leap, according to Paul, means abandoning the ‘old man’ and creating the ‘new man’: leaving behind the man of the flesh (the man of Mammon), the old Adam, and moving toward the new Adam.”

Mazzarella argues that this vision is grounded in a particular conception of the human being. According to him, this approach understands transformation in terms of increased technical capacity, thereby sidelining moral and spiritual transformation. The text relates this position to more pessimistic readings of human nature found in Girard and Hobbes. Within this framework emerges a post-humanist horizon centered on “enhanced” or “augmented” humans.

In contrast, the article emphasizes that, in Christian anthropology, transformation has a fundamentally different meaning. In the Pauline perspective, the issue is the abandonment of the “old man” and the emergence of the “new man” – a transformation often described in the literature as ontological. According to Mazzarella, Thiel’s approach does not aim at such transformation, but rather at the expansion of existing human capacities.

“Thiel may be a technological genius, but he is not a religious one – at least not in the sense of the axial age, where Christ represents the culmination of a religious process that began in the Middle East and spread across the Mediterranean into Europe and the Western world. The transcendence promised by Silicon Valley’s technological ‘prophecy,’ Thiel’s ‘zero to one’ operation, merely equips the old human with new and immensely powerful tools. It keeps the human at ‘zero’ – the human of the flesh – and does not transform him into the new human of God’s spirit. His ‘technological miracles’ of value creation are but another version of the miracles of false prophets. They leave society as they found it – often in the slaughterhouse of universal history, where humanity’s worst traits persist unchanged. The techno-theological eschatology of Thiel and his circle, along post-humanist and transhumanist lines, ultimately serves the old human.”

For this reason, the article participates in a broader debate about the relationship between technological progress and human transformation. One of its central axes is the tension between the transformative power of technology and the possibility that the human being remains fundamentally unchanged. The expression “false prophecy” can be read as a conceptual warning against overburdening technology with excessive meaning.

“According to this security-driven logic, Thiel’s human remains the human of the ‘age of stone and sling,’ as in Quasimodo’s 1947 poem Uomo del mio tempo. This human is still an extension of the man of the flesh, kept in the cave and prevented from ascending to a more real, more illuminated world (Plato). Yet the human being should be oriented toward better potentials.”

One of Mazzarella’s striking references concerns the nature of modern humanity. Drawing on Salvatore Quasimodo’s poem, he suggests that despite technological progress, the human being may remain essentially unchanged. This interpretation points to a divergence between technological development and ethical-ontological development.

“No totalizing technical Prometheanism can achieve this. The belief that artificial intelligence can govern the entirety of the human being sees no hope in the human heart or in that which could transform it. In this view, the greatest danger of the human is freedom itself, because humanity has eaten from the tree of knowledge of good and evil. Yet there is no ‘reverse bite’ that can undo this act, no way to return the apple to its original state, no means of restoring human consciousness to darkness – or to a point where God would regret having granted it. Certainly not by entrusting humanity to corporate managers who see themselves as the administrators of such a reversal.”

In its final section, the article turns to artificial intelligence and claims of technological governance. The issue at stake is the limits of viewing the human being as a fully governable entity. The text argues that this approach treats human freedom as a problematic element, whereas freedom is in fact a constitutive dimension of human nature.

The metaphor of the “reverse bite” is particularly powerful. It underscores the irreversibility of the human condition and sets a boundary against technologically deterministic approaches.

📌 My Notes: The Political Theology Behind the Thielian Vision

In my view, the core issue is not that Thiel attributes excessive meaning to technology. The deeper problem is that technology in the modern world is increasingly positioned as a quasi-soteriological authority claiming to determine human destiny. For this reason, the discourse surrounding Thiel is less a narrative of innovation and more the language of a secularized eschatology. Technology becomes the threshold through which salvation, chosenness, and the production of a “new human” are imagined. Once technical reason forgets its own limits and begins to intervene in the ontological question of the human, it ceases to be merely a regime of production and becomes a regime of belief.

For this reason, I read the Thielian vision not only as transhumanist, but also as a post-political theology of power. Politics has long ceased to be a public arena for debating the common good. It has been replaced by the governing claims of technological elites who believe they possess privileged knowledge of history. Within such a framework, humanity is no longer conceived as a community of free citizens, but as a flawed species to be optimized. Governance shifts from persuasion to design, from representation to engineering; from political plurality to technical synchronization. It becomes one of the new forms of modern sovereignty – a technocratic messianism that subjects humanity to a transcendent plan without God.

At this point, it seems clear that the debate this issue has generated in Western public discourse cannot be reduced to a binary of Christianity versus anti-Christianity. At a broader level, what is at stake is the meaning of human transformation itself. Is human transformation a moral, existential, and political process? Or is it a technical upgrade defined by increased capacity, extended lifespan, cognitive acceleration, and algorithmic alignment? The Thielian trajectory leans toward the latter. This, however, does not elevate the human – it reduces it. The human being is a tragic entity, living within questions of meaning, limits, guilt, freedom, responsibility, and transcendence. Any technology that seeks to eliminate this tragedy ultimately flattens first metaphysics, and then the human itself.

What we are confronting, therefore, is the diagnosis of a new language of sovereignty. Certain figures in Silicon Valley are making normative claims about human nature, history, and order – and more importantly, legitimizing these claims through the discourse of technical efficiency. Any project that advances such sweeping claims about humanity’s future must first make its anthropology explicit. How does it understand the human being? Does it treat freedom as a possibility or as a risk? Does it regard imperfection as a bug to be eliminated, or as a constitutive feature of the human condition? Without addressing these questions, every promise about the future risks becoming a design for depoliticized domination.

In the final analysis, Mazzarella’s objection is one that deserves serious political consideration. At its core lies the insistence that humanity must not be surrendered to totalizing technical horizons that claim monopoly over the language of salvation. Technology undoubtedly expands human possibilities. But the question of what the human is, what it may become, and to what extent it should be transformed is far too important to be left solely to engineers, investors, or corporate influencers.

In the 20th century, literacy was a straightforward metric: the ability to read, write, and understand marks on paper. It was the ticket to the industrial economy and the foundation of the modern state. Today, however, that definition has become dangerously incomplete. As we move through the second half of the 2020s, literacy is about decoding the systems that deliver them.

True literacy today encompasses the ability to understand how information is produced, filtered, and amplified; how algorithmic “black boxes” shape public perception; and how artificial intelligence can now generate hyper-realistic texts, images, and voices that bypass our traditional cognitive filters. These competencies, collectively known as digital AI literacy, are no longer “soft skills” or educational electives. They have become the front line of civic defense.

Across much of the Turkic-speaking world, from the Caucasus to Central Asia, these skills are still treated as supplementary or external to formal education. This is a strategic error of historical proportions. The absence of digital literacy is a structural vulnerability that affects how our societies manage information, trust institutions, and negotiate identity in an increasingly fractured public sphere.

Diagnosis: The Anatomy of Information Disorder

I did not first encounter the gravity of this problem in a research laboratory, but in the chaotic reality of everyday public discourse. During the 2025–2026 academic year, a wave of rumors swept through Azerbaijan and neighboring regions. Online media and Telegram channels began circulating claims that Russian-language education was about to be abruptly eliminated. The reaction was swift: commentators grew heated, social tensions rose, and a sense of imminent cultural friction permeated the digital space.

Eventually, official sources clarified that no such reform was planned. But the damage was done; the social fabric had been momentarily frayed. What made this episode significant was what it lacked. There were no sophisticated deepfakes, no state-sponsored bot farms, and no advanced AI-generated disinformation. It was a “low-tech” information disorder. It revealed a public environment in which unverified claims spread faster than the truth because the audience lacked basic tools for assessing credibility.

This case illustrates a broader pattern of “informational asymmetry.” When citizens lack the skills to evaluate what they are told, social tensions emerge not from technological manipulation but from a fundamental lack of critical friction. Across the Turkic region, public debates are shifting away from traditional, regulated outlets toward fragmented media ecosystems in which speed and engagement are the only currencies that matter.

The Algorithm as Audience: Identity in the Age of AI

Artificial Intelligence has scaled these challenges from a local nuisance to a systemic risk. We are entering an era where synthetic media can construct entirely different versions of reality for different segments of the population. As the European Digital Media Observatory has documented, AI is no longer merely a tool for content creation; it is a tool for reshaping the very architecture of truth.

However, the impact of the algorithmic age extends beyond politics. It reaches the level of individual identity. Research on youth media behavior reveals a notable, albeit troubling, trend. Young people now segment different dimensions of their “self” across platforms:

LinkedIn: For professional competence and “machine-readable” success.

Instagram: For aesthetic authenticity and social validation.

Telegram: For ideological alignment and raw, unmediated expression.

Semi-private digital spaces: For ultra-group belonging.

Crucially, the primary audience for these performances is no longer just other human beings; it is the algorithmic system. Automated tools now influence decisions ranging from university admissions to employment and creditworthiness. The Berkman Klein Center at Harvard has projected that a growing share of global hiring is already algorithmically mediated. Yet, in our classrooms, students are rarely taught how these systems evaluate, classify, or interpret their digital traces. In the Turkic world, this has produced a new “cultural economy of reputation” based on visibility and networked validation. At the same time, the logic governing these processes remains a total mystery to the people involved.

Prescription: Strategies for Civic Resilience

If the problem is structural, the solution must be institutional. We cannot rely on individual “common sense” to fight algorithmic complexity. We must look at regions that have successfully pivoted. Following the disinformation crises of the mid-2010s, Finland transformed its national curriculum. They didn’t just add a “media class”; they integrated digital literacy into every subject. In math, students learn how statistics can be manipulated in fake news; in history, they analyze wartime propaganda through a modern lens. Estonia has gone further, introducing AI literacy at the middle-school level, teaching students not only how to use AI, but how to “interrogate” it.

The Turkic world possesses the talent and the institutional capacity to lead such a transformation. What is missing is the political and educational prioritization. To build true civic resilience, we must pursue three concrete steps:

Redefining the Core Curriculum: Digital and AI literacy must be elevated to the status of “core civic competencies.” They should be taught with the same rigor and funding as mathematics, national history, and language. A citizen who cannot identify a bot is as vulnerable as a citizen who cannot read a law.

The Educator Pivot: Educational reform is dead on arrival if the teachers themselves are digitally illiterate. We need a substantial, region-wide investment in teacher training that moves beyond basic computer literacy to advanced data and AI competencies.

Independent Research and Fact-Checking: Governments and civil society must support independent research institutions that can update educational materials in “Internet time”, months rather than decades. Static textbooks are a liability in a world of dynamic algorithms.

Addressing the Burden of Reform

Skeptics will argue that our public education systems are already overburdened. In many parts of the Turkic world, schools continue to struggle with basic infrastructure and traditional literacy gaps. “Is this the time,” they ask, “to worry about algorithms?”

My answer is that we have no choice. Literacy has never been a fixed target. Societies once had to expand from oral tradition to the written word, then from letters to numbers, and then from typewriters to coding. Each shift was met with the same argument: “The system is already full.” But failing to update our symbolic competencies is not a form of “sticking to the basics”; it is a form of neglect. By failing to teach digital defense, we are effectively sending our youth into an information war with 19th-century tools.

The Choice of Silence

The societies that will flourish in the coming decade will not necessarily be those with the most advanced AI laboratories or the fastest internet connections. They will be those who have prepared their citizens to receive, verify, and, when necessary, dispute information.

In a world where synthetic media intersects with the construction of geopolitical realities, ignorance is no longer a sign of innocence. It is a surrender of sovereignty. The Turkic world has a unique opportunity to harmonize its rich cultural heritage with a modern, resilient digital identity. But this requires a conscious choice. Literacy is a choice. Neglect is also a choice. We must decide which one we are making before the algorithms decide for us.

The world’s on fire (literally, with U.S. airstrikes raining down on Iran), President Trump is tweeting up a storm, and his right-hand man, Vice President JD Vance, is silence. For nearly three days after the bombs started dropping in late February 2026, Vance’s usually chatty X account went radio silent. No fiery defenses, no patriotic pep talks. Just a couple of retweets from the White House. It’s like the guy who wrote a bestseller about rust-belt grit suddenly turned into a ghost at the biggest geopolitical party of the year. But is this just Vance being shy, or is there a bigger chess game at play? Spoiler: It’s the latter, and it ties straight into a shadowy network called Rockbridge that Vance helped build. Let’s break it down, step by step, like we’re unraveling a political thriller because honestly, that’s what this feels like.

Vance’s Cone of Silence: What’s the Deal?

First off, yes, JD Vance has been uncharacteristically quiet amid the U.S.-Israel joint assault on Iran’s nuclear sites and regime. The war kicked off with “Operation Epic Fury” (gotta love those dramatic names), targeting everything from missile silos to top leaders like Ayatollah Khamenei. Casualties are mounting and public approval is tanking, with polls showing 59% of Americans disapproving. Trump? He’s all in, vowing to do “whatever it takes” and posting nonstop. Defense Secretary Pete Hegseth is out there detailing strikes on 5,000+ targets. Secretary of State Marco Rubio is handling the diplomatic fallout including that awkward slip about Israel “dragging” us in.

Vance? Not so much. He monitored the initial strikes from the White House Situation Room. There’s even a photo of him looking serious next to a Diet Mountain Dew, but he wasn’t at Trump’s Mar-a-Lago war room with Rubio and Chief of Staff Susie Wiles. His X feed? Dormant for 72 hours post-strikes, except for reposts of official White House stuff like a Situation Room pic and Trump’s remarks. He skipped a planned CBS town hall, citing the war. Even MAGA die-hards like Marjorie Taylor Greene are asking, “Where the hell is JD Vance?” Media outlets from Politico to The Atlantic are buzzing: “Pretty bad for Vance”, they say, noting his awkward silence that’s starting to get very loud.

He finally broke cover on Fox News with Jesse Watters, defending the attacks as “clearly defined” to stop Iran’s nukes and insisting it won’t turn into another Iraq or Afghanistan. But even Trump admitted Vance was philosophically a little bit different and maybe less enthusiastic at the start. Ouch, that’s Washington-speak for “we had a debate, and he wasn’t Team Bomb-First.”

Vance’s Anti-War Roots: The Philosophy Behind the Quiet

To understand why Vance might be playing hide-and-seek, rewind to his core beliefs. This isn’t some flip-flopper. Vance built his brand on being the anti-interventionist heart of MAGA. As an Iraq War veteran and author of Hillbilly Elegy, he’s railed against forever wars that drain American blood and treasure. Remember 2024? During the campaign, he told podcaster Tim Dillon: “Our interest, I think very much, is in not going to war with Iran. It would be a huge distraction of resources. It would be massively expensive.” He even warned that an Israel-Iran clash could spark World War III on another show.

Vance positions himself as the skeptic-in-chief. Pro-diplomacy, anti-endless entanglements. He told The Washington Post pre-war that he’d prefer talks but was open to force if needed, while swearing there’d be no chance of a drawn-out mess. Now, with oil prices spiking to $100+, economic jitters, and fears of escalation, his hesitation makes sense. Why risk alienating the MAGA base’s isolationist wing, Tucker Carlson types who hate foreign adventures, by cheerleading a war that’s already unpopular? Silence lets him toe the administration line without owning the fallout. It’s like being at a bad party. You show up, nod politely, but don’t Instagram it.

Enter Rockbridge: The Secret Sauce of MAGA 2.0

Okay, now for the plot twist. Vance’s low-key vibe isn’t just personal, it’s straight out of the playbook of Rockbridge Network, a hush-hush donor club he co-founded in 2019. Picture a James Bond villain’s lair, but for politics. No public website, invite-only retreats in ritzy spots like Las Vegas or Ohio’s Rockbridge. It started as a brainstorm session in a quiet resort near Cincinnati, hosted by Vance and his buddy Chris Buskirk, with heavy hitters like Peter Thiel (Vance’s billionaire mentor), Rebekah Mercer, and Tucker Carlson in the mix.

Rockbridge isn’t your grandma’s GOP fundraiser. It’s a tech-savvy machine blending Silicon Valley smarts with MAGA muscle. They fund right-wing news ops, voter turnout drives, polls, and even documentaries. Their secret weapon? Massive data hoarding from church groups, small businesses, and nature clubs to profile low-turnout voters and hit them with tailored messages. It’s like Amazon’s recommendation engine, but for politics. “You hated factory closures? Here’s why MAGA’s your fix.”

Budget? A cool $75 million in 2024 alone, funneled through Buskirk’s 1789 Capital (named after the Declaration of Independence, because patriotism sells). They invest in “patriotic capitalism” meanig AI-powered weapons factories, rare-earth mining, and 3D rocket fuel startups. The vibe is venture capital meets conservatism: Spot winners, scale fast, disrupt the establishment.

Rockbridge’s Big Goal: Building an “Aristopopulist” Empire

Rockbridge’s mission? Turn Trump’s chaotic charisma into a lasting dynasty. They call it “aristopopulism”, fancy word for “productive elites” leading the charge, but with grassroots buy-in from the working class. Buskirk’s book America and the Art of the Possible lays it out. Every society has elites, better they be innovative aristocrats than greedy oligarchs. The goal? A “big company, small government” model where tech titans deregulate, cut taxes, and reboot American industry promising jobs and “American Dream” revival to the base.

It’s not just talk. Rockbridge is prepping for 2026 midterms and 2028 presidential runs, building a pipeline of voters, donors, and candidates. Thiel’s fingerprints are everywhere he bankrolled Vance’s Senate run and sees this as a way to embed tech overlords in power. Think Starlink controlling global comms or AI running defense. A modern “Rome 2.0”, but with algorithms instead of aqueducts.

Vance’s Rockbridge Ties: The Missing Link

Vance isn’t just a bystander but he’s Rockbridge royalty. He co-founded it with Buskirk, leveraging Thiel’s cash and his own VC background (he worked at Thiel’s Mithril Capital). Even post-VP, the network’s influence lingers. It’s funded pro-Trump super PACs and voter ops that helped win 2024. Vance embodies their vision including a rust-belt kid turned elite, bridging blue-collar angst with billionaire ambition. His rise? Rockbridge rocket fuel.

Tying It All Together: Silence as Strategy

So, does Vance’s Iran war hush-up fit Rockbridge’s blueprint? Absolutely. This network thrives on calculated moves. Protect the base while elites pull strings. By staying quiet, Vance shields his anti-war cred from war hawks like Rubio, avoiding a MAGA schism. If the war wraps quick and “successful”, he claims credit. If it drags like those forever wars he hates, he pivots: “I was skeptical all along.” It’s peak aristopopulism in which elites (Vance included) maneuvering without alienating the populist troops.

In the end, this isn’t just about one VP’s awkward phase. It’s a glimpse into MAGA’s evolution. From Trump’s solo act to a tech-fueled machine gunning for long-term dominance. Vance’s silence? Not weakness, it’s a power play. And if Rockbridge has its way, we’ll see a lot more of these quiet calculations shaping America’s future. Buckle up; the sequel’s just starting.

The great Spanish philosopher George Santayana once wrote in his 1905 work The Life of Reason: “Those who cannot remember the past are condemned to repeat it” Scrutinizing his wisdom, one may observe that beneath his words lies a beautiful paradox in the intricate dance between knowledge and inevitability. Indeed, his words fracture into three different dimensions, and the paradox manifests itself differently each time. In the inaugural dimension, emerges the predictive paradox, the most straightforward logical snare. Should history indeed unfold in a predictable cycle, and we acquire the ‘historical literacy’ to discern this pattern, we might, well at least in theory, possess the ability to intervene and alter the outcome. Funny thing is that, well, by altering the outcome, history ceases to repeat itself. Therefore we end up with;

If we know history, we change it (it doesn’t repeat)

If history repeats, it means we didn’t know it (or, sadly(?) couldn’t stopped it!)

Within the domain of following dimension, the enigmatic Hegelian Irony makes its appearance; offering a more cynical take. Hegel once told “what experience and history teach is this: the nations and governments have never learned anything from history” (At this point, I know you’re excited to be reached the realm of techno-politics but please, a little bit patience) The paradox lies in the notion that the sole lesson history imparts is our failure to learn from it. This engenders a cycle where repetition thrives on the inherently human inclination to think, “this time is different,” despite evidence to the contrary. In the ultimate dimension, Heraclitus’ Paradox unveils its splendor (commonly referred to as the same river problem, a concept you might recognize, right?).In the grand tapestry of existence, Heraclitus, the sage of Ephesus, proclaimed with profound insight, “No man ever steps in the same river twice, for it’s not the same river and he’s not the same man.” Thus, he captured the eternal dance of change and transformation, where the flow of time and the essence of being are in perpetual motion, weaving the fabric of life with threads of constant evolution. When one contemplates this in the context of history, the paradox emerges that true repetition is an impossibility. Even if a contemporary economic crisis mirrors one from 1929, the 2026 iteration unfolds within a world that bears the memory of 1929. Here, the existence of the memory changes the context of the event. Therefore, history can only “rhyme” (as Mark Twain allegedly put it), but it can never truly repeat itself.

The Predictive Paradox: The White House and the “New Great Divergence”

In the annals of history, the First Great Divergence of the 19th century marked a monumental epoch where Western nations surged ahead, their lands transformed by the relentless march of industrialization, while the East remained steadfast in its agrarian traditions. Yet, as the sands of time shift once more, the White House’s 2026 report heralds the dawn of a Second Great Divergence. In this new saga, the United States emerges as a titan, forging ahead with unparalleled “compute” investment, now commanding a formidable 25% of all U.S. investment. This audacious leap propels the U.S. beyond the horizons of Europe and China, setting the stage for a new era of technological supremacy and global dominance. In the grand saga of human progress, the United States stands as a titan, drawing upon the ancient wisdom of the first Industrial Revolution to forge a new era of innovation. Yet, in their quest for supremacy, they embark on a perilous journey through the uncharted waters of deregulation and dominance. As they strive to claim victory in this epic race, they risk birthing a world transformed beyond recognition; a world where the specter of AI labor propels GDP growth to dizzying heights of 40% or more. In this brave new world, the venerable lessons of history may crumble into dust, rendered obsolete by the very future they sought to create. The prophecy of leadership becomes a self-fulfilling prophecy, crafting a destiny that defies the very models of the past. They are subsidizing “compute” (the new coal) to ensure they stay on the right side of the gap. In its endeavor to avert decline by emulating past triumphs, the U.S. also is inadvertently ushering in a Technological Singularity, where the conventional paradigms of labor and value cease to apply. Should AI assume 90% of cognitive tasks, the historical insights concerning employment and taxation become obsolete. We are leveraging history to construct a future that will ultimately render the past unrecognizable.

The Hegelian Irony: Spain’s Quest Against “Techno-Oligarchs”

In the years 2025 and 2026, Spanish Prime Minister Pedro Sánchez and Foreign Minister José Manuel Albares have proclaimed a war on Big Tech, branding social media as a failed state. They have enacted legislation, such as the Law for Democratic Governance, to mitigate algorithmic manipulation and counteract the influence of the so-called techno oligarchs. Ironically, Sánchez even posted on the social media platform X (yes one belongs to the king, master, supreme ruler etc. of the techno oligarchs, Elon Musk himself!) “Let the techno oligarchs bark!” Here you go again, Hegelian Irony in action! Spain is engaged in a battle for “Humanism” against “The Law of the Jungle.” However, the techno oligarchs are employing the same historical tactics as the Gilded Age monopolists (please try to avoid thinking HBO series, just please). Spain’s struggle implies that while we are aware of the history of monopolies, we are “condemned” to repeat the same battle because human power structures have remained unchanged, only the tools (algorithms instead of railroads) have evolved. Spain is currently the “moral laboratory” of the West, and indeed shouting: ”We’ve seen this movie before!” In the grand saga of our digital age, the “Techno-Oligarchs” those mighty titans of AI and Social Media have ascended to a dominion surpassing the might of many small nations. Yet, amidst this towering power, Spain presents itself as a valiant knight, wielding the sword of justice to shatter the “Hegelian Loop.” With the might of the law, they seek to unveil the hidden workings of algorithms, striving to demonstrate that civilization possesses the wisdom to evolve, defying the grim lessons of history that whisper of our perpetual folly.

The “Same River” Problem: The Rise (and Pivot) of China - also there is this “Green” Thucydides Trap

In the annals of history, the emergence of a burgeoning power, such as China, inevitably leads to a confrontation with a declining force, like the United States. This phenomenon is known as the Thucydides Trap. However, China’s strategic vision for 2026 indicates an intention to “step into a different river.” China’s influence in this divergence exemplifies Heraclitus’s “Same River” paradox. While the United States emphasizes AI software, China has pivoted towards a Green Great Divergence, investing $250 billion in global green manufacturing, encompassing electric vehicles, batteries, and solar energy. In the grand tapestry of history, China’s rise unfolds as a saga unlike any before. The echoes of past empires clash with the present, as the Thucydides Trap looms, yet China charts its own course through the uncharted waters of a world woven with threads of interdependence and ecological fragility. Not content to mirror the legacy of Britain, China aspires to ascend as the Green Hegemon, a beacon of sustainability in a realm fraught with challenges. This is not a mere repetition of history; it is the tale of a unique voyager navigating a river more tumultuous than ever imagined. In lieu of vying for oil or traditional colonies(?), China has established itself as the so called Green Infrastructure Provider for the Global South. By asserting control over the supply chains essential for the energy transition, they seek to navigate the Great Divergence paradox by redefining “power” from military might to ecological indispensability.

Here Comes The Ultimate Paradox: The Speed of Memory

In the year 2026, the very essence of history feels askew, for our collective memory is now governed by the very AI we strive to comprehend. In the days of Santayana, “remembering the past” entailed the turning of pages in books. Yet now, “remembering the past” is an algorithm’s swift summary. Should this algorithm wield the power to filter our recollections, we find ourselves doubly condemned to relive the chapters of history that the “Techno-Oligarchs” have chosen for us. Indeed, “We are not repeating the past; we are being fed a curated version of it to ensure we don’t change the future.“

“The world order has died. Long live the new world order.”

This phrase, echoing across Munich, Davos, and Washington in the first weeks of 2026, is not hyperbole. German Chancellor Friedrich Merz stated it plainly at the Munich Security Conference: “The world order as it has stood for decades no longer exists.” Canadian Prime Minister Mark Carney called it a “rupture, not a transition.” The Trump administration’s latest National Security Strategy made it a doctrine: the American-dominated liberal order is over, not because America lacked power, but because it chose to stop sustaining it. The Munich Security Report 2026 is titled, without irony, Under Destruction.

We are not entering Orwell’s 1984. We are already living in Aldous Huxley’s Brave New World, and the scariest part is how comfortable it feels.

Orwell vs. Huxley: The Debate That Was Never Really a Debate

For decades, the literati have argued which dystopia would win. George Orwell feared control through fear, pain, and the deprivation of truth. Big Brother watches you. The boot stamps on the human face, forever. Information is rationed, history is rewritten, and rebellion is crushed with violence.

Huxley, writing Brave New World in 1932 and reflecting on it in Brave New World Revisited (1958), saw something more insidious. He feared control through pleasure, distraction, and engineered contentment.

“In the next generation or so,” he warned, “there may be a pharmacological method of making people love their servitude… producing a kind of painless concentration camp for entire societies, so that people will in fact have their liberties taken away from them, but will rather enjoy it, because they will be distracted from any desire to rebel by propaganda or brainwashing, or brainwashing enhanced by pharmacological methods.”

Huxley was right. We don’t need a thought monitor when the algorithm already knows what will keep us scrolling. We don’t need Room 101 when a dopamine hit from a perfectly tailored feed does the job better. As Neil Postman observed decades ago, Orwell feared those who would ban books; Huxley feared those who would give us so much that no one would want to read one.

In 2026, the evidence is overwhelming. We have Soma 2.0: infinite short-form video, personalized realities, and pharmaceutical-grade digital escapism. We have the feelies: immersive VR and AI companions that deliver pleasure without risk. We have the caste system updated for the algorithmic age: those with access to frontier models versus those fed only the sanitized, engagement-optimized slop.

The New Operating System: Techno-Political Soft Control

The old liberal order rested on institutions, norms, and American security guarantees. Its replacement is not a new set of rules written in Geneva or New York. It is an operating system, invisible, pervasive, and voluntary.

Power today belongs to whoever controls the pipes of attention, data, and narrative. In intelligence terms, this is the ultimate form of information warfare: not kinetic, not even cyber in the traditional sense, but cognitive and affective. States and corporations alike now compete in the attention economy, where the battlefield is your limbic system.

Look at the signs, analyzed through a proper intelligence lens.

Your reality is curated. One user sees climate optimism and consumption cues; another sees geopolitical threat assessments. Same platform, parallel universes. This is Brave New World’s Alpha-to-Epsilon hierarchy, achieved not by genetic engineering (yet) but by data and reinforcement learning.

Discussions of genetic editing for intelligence, longevity, and “optimization” are no longer fringe. Policy circles in 2026 openly debate germline editing frameworks. Huxley’s Bokanovsky Process and decanting rooms feel less like fiction every quarter.

The most chilling success metric? Users spend 4–7 hours daily on platforms that harvest their attention while making them feel empowered, connected, and entertained. We don’t resist the surveillance, we pay monthly subscriptions for better versions of it.

The next decade will not be decided by who has more missiles or chips. It will be decided by who masters the soft infrastructure of human desire. US-China tech competition is not about hardware; it is about whose models will shape global cognition. AI governance talks at the UN Global Dialogue and India’s AI Impact Summit this month are polite theater. The real game is already running in the background.

Only Viable Counter-Measure

In Huxley’s World State, the few who refuse soma, the Savages, the misfits, are exiled to reservations or eliminated. In our version, the cost of waking up is different: burnout, anxiety, or simply being algorithmically deprioritized.

This is precisely where personal alignment becomes your strategic edge.

Amid engineered distraction, ruthlessly auditing your alignment, matching what you love, what you excel at, what the world truly needs, and what sustains you financially, is no fluffy exercise. It functions like a rigorous intelligence assessment. Scanning for threats (misalignment, burnout) and opportunities (leverage, antifragility), so high-stakes professionals stop drifting in curated feeds and start shaping outcomes with clarity and purpose.

When your daily work sits in all four circles, you become antifragile to the new operating system. You stop sleepwalking through curated feeds. You start shaping the narrative instead of consuming it. You retain the capacity for deep, uncomfortable thinking, the kind that built the old order and will be required to navigate the new one.

I can attest: the Sunday dread disappears when alignment returns. Clarity becomes your ultimate competitive advantage in a world designed to erode it.

Rule of Three for Survivalists Today

Wake up to the operating system. Recognize that most “news,” “debate,” and “content” is Soma. Consume deliberately or not at all.

Build your personal alignment fortress. Audit the four circles ruthlessly. Double down on the overlap. This is your cognitive immune system.

Shape, don’t just survive. Use your expertise, whether in intelligence, policy, tech, or analysis, to influence the rules of the emerging order. The world still needs clear-eyed thinkers who refuse to love their servitude.

The old world order has died. Welcome to the Brave New World.

The question is whether you will remain happily medicated within it, or whether you will do the hard, rewarding work of staying awake.

The choice, for now, is still yours.

On December 9, 2025, exactly 22 days before we finished the first quarter of the 21st century, I created a video using Grok’s image generation feature and shared the following X post. People caught in the midst of chaos were passing in front of a wall on which Antonio Gramsci’s famous words were written.

Last week, Belgian PM Bart De Wever delivered a speech at the World Economic Forum in Davos, invoking this famous quote commonly attributed to Antonio Gramsci about the “time of monsters” amid the uncertainties of a shifting global order.

During tech disruption, Antonio Gramsci’s reflections on crisis resonate with uncanny relevance. The Italian Marxist thinker, imprisoned by Mussolini’s fascist regime in the 1930s, penned a passage in his Prison Notebooks (Quaderni del carcere) that has echoed through the decades:

“The crisis consists precisely in the fact that the old is dying and the new cannot be born; in this interregnum a great variety of morbid symptoms appear.”

This line, from Notebook 3 (1930), captures the limbo of societal transition, a period of decay and stalled rebirth, marked by pathological anomalies. Yet, in popular discourse, especially since the 2016 U.S. presidential election and the collapse of political correctness, it has morphed into a more dramatic refrain.

“The old world is dying, and the new world struggles to be born: now is the time of monsters.”

This evolution from “morbid symptoms” to “monsters” is a cultural adaptation that reveals how ideas are reshaped to fit contemporary anxieties. In our techno-political landscape, where technology both promises utopia and unleashes dystopian forces, this misattributed quote serves as a lens to examine the “monsters” emerging from digital cracks, surveillance capitalism, algorithmic bias, disinformation ecosystems, and the erosion of democratic norms. By tracing the quote’s origins, transformations, and implications, we can better understand how Gramsci’s metaphor for societal pathology has been poeticized into a warning about grotesque entities, and why this matters in an age where technology accelerates crises rather than resolves them.

Gramsci’s Original Diagnosis of “Interregnum”

To appreciate the distortion, we must return to the source. Antonio Gramsci wrote from Turi prison amid the Great Depression, the consolidation of fascism in Italy, and the Communist International’s “third period” of ultra-left sectarianism. His Prison Notebooks, smuggled out and published posthumously, are a fragmented masterpiece of political theory. In Notebook 3, §34 (as edited by Valentino Gerratana in the 1975 Einaudi edition), Gramsci describes a “crisis of authority” where the ruling class loses its hegemonic grip. The masses detach from traditional ideologies, no longer granting consent to the old order. This vacuum, he argues, breeds “morbid symptoms”, fenomeni morbosi più svariati in Italian, evoking medical terminology for abnormal, pathological manifestations.

Gramsci’s choice of words is deliberate. “Morboso” implies something diseased, degenerative, or infectious, akin to symptoms of a body in distress. He wasn’t invoking literal monsters but rather the aberrant behaviors and ideologies that surface in transitional voids. In context, these symptoms likely referred to pathologies within the left itself, such as revolutionary impatience or sectarianism, echoing Lenin’s critique of “infantile disorders” in communism. The interregnum, borrowed from ancient Roman terminology for the gap between sovereigns, symbolizes a suspension of normalcy where legality and ideology falter. As Gramsci elaborates nearby, this leads to “cynical politics” and widespread skepticism, potentially paving the way for new arrangements if navigated wisely.

This nuance is crucial. Gramsci’s analysis is dialectical. Crises are not endpoints but opportunities for reinvention. Yet, in our tech-saturated time, where platforms amplify echo chambers, these “morbid symptoms” manifest as digital pathologies. Consider the rise of online radicalization. Algorithms prioritize engagement over truth, fostering sectarian bubbles that mirror Gramsci’s warnings about left-wing deviations. In 2024 alone, AI-generated deepfakes have disrupted elections in multiple countries, creating “morbid” distortions of reality that erode trust in institutions. Here, technology exacerbates the crisis, turning interregna into breeding grounds for virtual monsters.

The Poetic Mutation Amid Morbid Symptoms and Surging Monsters

The shift to “monsters” didn’t happen in a vacuum. As cultural anthropologist Clara Gallini noted in her studies of Gramsci’s reception, translations often infuse original texts with new layers, sometimes at the expense of fidelity. The pivotal adaptation appears in French intellectual circles from the 1970s onward. A widely circulated version, possibly from Gallimard editions or leftist journals, renders it as:

“Le vieux monde se meurt, le nouveau monde tarde à apparaître et dans ce clair-obscur surgissent les monstres.”

Here, “interregno” becomes “clair-obscur” (chiaroscuro), a term from art history evoking the dramatic interplay of light and shadow in paintings by Caravaggio or Rembrandt. This poetic flourish implies a twilight zone of uncertainty, heightening the drama. More strikingly, “fenomeni morbosi” is replaced with “surgissent les monstres”, monsters emerging or being born.

This French variant’s appeal lies in its memorability and evocative power. It draws implicitly from Francisco Goya’s 1799 etching El sueño de la razón produce monstruos (”The Sleep of Reason Produces Monsters”), where rationality’s lapse unleashes nightmarish figures. In Gramsci’s adapted form, monsters symbolize the irrational horrors birthed in transitional darkness, fitting for post-1968 France, amid decolonization struggles and rising neoliberalism.

French journalist Edwy Plenel popularized this in his 2014 book Dire non (Say No), using it to critique the resurgence of far-right extremism, xenophobia, and societal violence. Plenel defends the adaptation as a “poétique” variant that captures Gramsci’s spirit without betraying it. For him, contemporary “monsters” include hate-fueled imagery and political demagogues, viewing crisis as a test of human agency. Similarly, in 2018, Chilean artist Alfredo Jaar adopted a back-translated Italian version for public posters in Rome:

“Il vecchio mondo sta morendo. Quello nuovo tarda a comparire. E in questo chiaroscuro nascono i mostri.”

In an interview with Artribune, Jaar admits preferring the French for its “stronger and more poetic” impact, invoking licenza poetica (poetic license). He aimed to revive Gramsci’s voice amid Italy’s populist surge under leaders like Matteo Salvini, where migrants were demonized as “monsters.”

The English-speaking world caught on later, influenced by Slovenian philosopher Slavoj Žižek. In a 2010 essay, Žižek paraphrased it as “The old world is dying, and the new world struggles to be born: now is the time of monsters,” which went viral post-2016 Trump election. This looser rendition, Žižek later admitted in a 2025 New Statesman piece, contributed to its global spread, appearing in everything from Blue Labour think pieces to Daily Mail headlines. Žižek links it to multiple interregna: capitalist disintegration yielding techno-feudalism, or patriarchal decline spawning incel cultures.

Why this mutation? As Salvatore Puglia argues in his 2023 essay “I mostri di Gramsci,” the shift from “morboso” (morbid, close to monstrosity as pathology) to explicit “mostri” amplifies the quote’s dramatic flair, making it more shareable in meme culture. Puglia traces ties to medieval bestiaries and films like Dino Risi’s I mostri (1963), suggesting monsters represent the “other”, immigrants, the marginalized, contrasting with “us.” Yet, he warns against binaries, proposing a shared humanity in the face of alterity.

In technological terms, this evolution mirrors how ideas virally mutate online. Platforms have propagated the “monsters” version, often without context, turning Gramsci into a soundbite for doomsayers. Just as algorithms favor sensationalism, the poetic adaptation outpaces the original, much like how misinformation spreads faster than facts in digital ecosystems.

Morbid Symptoms in the Digital Interregnum

Gramsci’s framework gains new urgency in our techno-political age, where the old analog world dies, and a fully digital one struggles to emerge ethically. The interregnum is evident in the clash between traditional governance and tech-driven disruption. Nation-states grapple with borderless data flows, while Big Tech wields hegemonic power without democratic accountability.

Consider surveillance as a prime “morbid symptom.” Platforms harvest behavioral data, predicting and manipulating user actions for profit. This creates monsters of privacy erosion, where targeted ads exploit societal fractures. In Gramsci’s terms, this is a crisis of authority. Tech giants have detached masses from privacy norms, fostering cynicism toward institutions.

Algorithmic bias represents another pathology. As the old meritocratic myths die, a new equitable tech order fails to materialize, birthing “monsters” like automated discrimination in hiring or lending. The 2023 EU AI Act attempts regulation, but enforcement lags, echoing Gramsci’s stalled rebirth.

Disinformation ecosystems amplify this. Social media’s “clair-obscur”, the shadowy blur between truth and fabrication, has spawned deepfakes and conspiracy theories. During the COVID-19 pandemic, platforms enabled anti-vax narratives, mirroring Gramsci’s “infantile disorders” in fragmented movements. Today, with AI chatbots generating plausible falsehoods, the interregnum risks permanent morbidity. There is a society where consensus fractures irreparably.

Even crypto and blockchain, heralded as liberatory, reveal monstrous undertones. Decentralized finance promises escape from centralized banking, yet scams and volatility dominate, preying on the vulnerable amid economic inequality. Tech utopians embody this duality. Visionaries who, in Gramsci’s lens, exploit the vacuum for personal hegemony. These tech-driven symptoms are products of unregulated innovation. As Puglia notes, linking to Goya, when reason sleeps, in regulatory voids, monsters arise.

Reclaiming Gramsci

The “time of monsters” adaptation, while evocative, risks diluting Gramsci’s precision. As Žižek reflects, it fits our era’s morbidities, from techno-feudal hierarchies to sexual economy upheavals, but oversimplifies. Poetic license, as Jaar claims, revives ideas, yet fidelity matters. “Morbid symptoms” remind us crises are treatable, not monstrous inevitabilities.

In techno-politics, this means proactive intervention and digital literacy. Gramsci urged navigating interregna toward hegemony for the subaltern. Today, that calls for tech policies centering human agency over accelerationism.

As we teeter in this digital chiaroscuro, let’s diagnose the symptoms, foster the new. Only then can we banish the monsters or recognize they’re of our own making.

What makes this myth so enduring is the conscious acceptance of its price, the knowledge that power carries obligation. In 2026, when we look at artificial intelligence, this paradox feels eerily familiar.

The tech giants we now call AI hyperscalers, Amazon, Google, Microsoft, Meta, Oracle are not merely training models and serving data. They are building tomorrow through borrowing. They are selling us the future, but on loan. According to Reuters, U.S. corporate bond issuance could reach $2.46 trillion in 2026, with a significant portion driven directly by AI infrastructure spending. This is not about technology budgets. It signals a deeper shift in the center of gravity of global finance and where value is believed to accrue.

So the question is philosophical:
Is this merely investment? Or is it a contract with the future itself?

Bonds as Claims on Tomorrow

Issuing bonds is mechanically simple, you borrow, you repay with interest.
But when artificial intelligence is involved, bonds stop being a routine financing tool.

What investors are effectively purchasing is this:

“This company will be central to tomorrow’s knowledge infrastructure.”

Debt stops pricing the present; it prices belief in the future.

Interest rates, balance sheets, and credit ratings still matter, but they no longer suffice. What now matters most is the narrative, the promise of what tomorrow will be.

The fact that these hyperscalers issued well over $120 billion in bonds in 2025 alone is no coincidence. AI has become not just a product or a service;
it has become a shared financial destiny.

And this unspoken pact between tech companies and the financial system is simple:
“You build the future; I’ll finance the present.”

Data Centers as Modern Fortresses

Empires once built fortresses to display power, secure borders, and make dominance permanent. Today, data centers are fortresses. But their walls are not made of stone, they rise on bonds and capital commitments. Their battlements are balance sheet entries and supply contracts. Every new GPU cluster, every new AI cluster, is not just technical capacity, it is a risk and a dependency embedded in the global financial system.

Here we find an intriguing paradox:
As AI investments grow, these tech giants do not appear more risky.
On the contrary: they become more inevitable.

The financial system now orients around their continued existence, portfolios, risk models, expectations all tied to the promise that these giants will deliver the future. This is why this narrative departs from the classic “tech bubble” debate. What we are witnessing is not merely speculation, it is structural entanglement.

Not Tulip Mania, A Cooler, Calculated Story

Visions of tulip mania spring to mind, but AI bonds tell a different kind of story. There is no mass frenzy here, no garish headlines about meteoric rises and plummeting falls. What exists is expectation, tightly packaged with disciplined financial contracts.

No one is shouting, “The bubble will burst tomorrow.” But almost everyone seems to agree: If AI fails to meet the economic and political expectations now placed upon it, the cost will not be borne by technology companies alone.

The fallout would ripple through pension funds, credit markets, sovereign borrowing costs, and even global liquidity itself.

Prometheus and His Willing Chains

When Prometheus stole fire, the gods imposed punishment. Today’s technology giants fasten their own chains, willingly. The bond market is AI’s new chain. But unlike Prometheus’s punishment, this is a calculated strategy. Mortgaging the present to accelerate the future.

Pulling time forward, spreading risk, socializing the cost. And this is precisely why the core question is not:

“Is AI a bubble?”

The more fundamental question is:

“Can the financial system function without AI, and if it cannot, who ultimately pays the price?”

Prometheus’s new fire is financial, political, geopolitical, and historical. And this time, the chains come before the fire.

It’s a Global Chessboard. Chips, Supply Chains, and the New Geopolitical Fire

Now enlarge the frame beyond finance. AI doesn’t exist in a vacuum. It is built upon semiconductors, and semiconductors are at the heart of global geopolitical competition.

Consider the tension over Nvidia’s H200 AI chips, one of the most powerful processors driving advanced AI workloads. Despite approval for export by the U.S. government, Chinese customs authorities have instructed that H200 chips are not permitted into China, effectively blocking shipments and forcing suppliers to pause production.

Why does this matter?

Because semiconductors are not just components, they are the circulatory system of the AI age. When a nation restricts access to these chips, it isn’t simply regulating goods; it is shaping the architecture of power and technological leadership.

China’s stance reflects more than industrial policy. It echoes a broader strategic calculus:
To develop domestic alternatives, to leverage technology as a bargaining chip, and to insulate its future economy from foreign dominance.

This dynamic illustrates how tightly technology chains and financial chains are now interlocked on the global stage.

Taiwan: The Silicon Shield and the Democratic Supply Chain

And here is where another piece of the puzzle enters: Taiwan.

Earlier in 2026, Taiwan and the United States agreed on a landmark plan to collaborate on a “democratic” high-tech supply chain, with Taiwanese companies investing hundreds of billions of dollars in semiconductor, energy, and AI production in the U.S., alongside significant credit guarantees.

This pact is an explicit effort to shape a technology ecosystem aligned with shared political values and strategic interests. Taiwan’s chip industry is so indispensable that its very existence has been dubbed a “silicon shield”, the idea that global dependence on Taiwanese microchips deters political aggression because the economic and technological fallout would be devastating.

But beyond deterrence, today’s supply-chain cooperation between Taiwan and the U.S. signals something deeper: technology infrastructure is a political capital, geopolitical leverage, and a cornerstone of economic sovereignty.

Where the Fires of Myth Meet the Realities of Power

When Prometheus brought fire to humanity, he sparked creativity, but also dependence.

AI has become that fire of our age: the engine of innovation, the core of economic narratives, the frontier of geopolitical power.

But like all great power sources, it is embedded in systems of reliance and control:

• Financial systems that borrow against the future;

• Global supply chains that bind nations into strategic and political partnerships;

• Geopolitical rivalries that turn chips into instruments of influence.

This is why AI is no longer living just in corporate balance sheets; it is now inscribed in national strategies, alliance architectures, and even global power hierarchies.

Prometheus’s new fire is everywhere, not just in servers and data centers, but in the bonds that underwrite them, the trade deals that institutionalize them, and the supply chains that protect, or threaten, global stability.

And the question remains:

Are we prepared not just for the promise of this fire, but for the price it demands?

I spent the weekend reading Prof. İbrahim Kalın’s book, Journey to Heidegger’s Hut, a visit in both the literal and philosophical sense, and these are some of my reflections.

Martin Heidegger’s modest writing desk in his Todtnauberg hut in the Black Forest stands as a profound symbol in 20th-century philosophy. This simple wooden table, overlooking the mountains, was where Heidegger composed much of Being and Time (1927) and later works grappling with the question of Being (Sein). Far from a mere piece of furniture, the desk embodies a space where authentic thinking about Dasein, human existence as “being-there”, becomes possible. In a world increasingly dominated by technological mediation, including generative artificial intelligence, this desk raises urgent questions.

Can we still hold on to the essence of Being? Does a contemporary equivalent exist, a “writing desk” that facilitates authentic handling of existential and practical problems?

These inquiries gain added resonance through İbrahim Kalın’s recent Turkish book Journey to Heidegger’s Hut (2025), which recounts his visit in 2019 to the hut while reflecting on Heidegger’s ontology amid modern crises.

The Space of Authentic Thinking

Heidegger retreated to his hut, built in 1922, to escape the distractions of university life and urban modernity. Here, amid peasant life and natural rhythms, he pursued the forgotten question of Being: not beings (Seiendes), but the meaning of Being itself. The hut’s simplicity, three rooms, a well, no electricity initially, facilitated what Heidegger called “meditative thinking” (besinnliches Denken), as opposed to mere “calculative thinking” (rechnendes Denken). The writing desk, positioned by the window with views of the valley, became the locus of this meditation. In Heidegger’s tool analysis from Being and Time, equipment like a hammer reveals itself authentically when ready-to-hand (zuhanden), withdrawing into the background to disclose a world of meaningful relations. Similarly, the desk, in its unobtrusive presence, enabled Heidegger to confront Dasein’s structures: care (Sorge), thrownness (Geworfenheit), projection (Entwurf), and being-towards-death (Sein zum Tode).

A poignant anecdote underscores the desk’s disclosive power. Heidegger’s younger son, Hermann, reportedly described the workspace in a television program (as paraphrased in Kalın’s book):

When grappling with a difficult problem, sitting at the father’s desk makes “everything become easier” or clearer.

This is no mystical claim but a testament to how the hut’s environment, its silence, rootedness in the earth, and removal from everyday chatter (Gerede), fosters authentic insight. The desk does not solve problems calculatively. It allows the question of Being to emerge, rendering complex ontological issues more accessible. Hermann’s remark highlights how physical space can attune Dasein to its essential possibilities, countering the fallenness into inauthenticity characteristic of “the they” (das Man).

Prof. Kalın’s Visit from the Hut to the Modern Crisis

İbrahim Kalın, a prominent Turkish philosopher and current president of the National Intelligence Organization (MİT), extends this reflection in his 2025 book. Kalın narrates his own journey to Todtnauberg, visiting the preserved hut and sitting at the famous desk. As a Muslim thinker engaged with Western philosophy, Kalın bridges Heidegger’s ontology with Islamic traditions of contemplation and tawhid (unity of Being). His journey is a quest to reclaim the question of Being in an era of homelessness (Heimatlosigkeit). Kalın emphasizes how the hut represents a poetic dwelling (poetisches Wohnen) on the earth, echoing Heidegger’s later essays like “Building Dwelling Thinking” (1951). In a time of geopolitical turmoil and technological acceleration, Kalın asks whether modern individuals, especially those in positions of power, can find analogous spaces to “hold on to the essence.” The situation is the same with intelligence leaders facing complex security dilemmas.

Kalın’s role in Turkish intelligence adds a provocative layer. Intelligence work involves navigating opaque threats, disinformation, and strategic ambiguities, problems demanding both calculative precision and deeper wisdom. Does the “writing desk” metaphor suggest a need for contemplative spaces amid statecraft? Kalın implies yes. Holding on to the Being requires withdrawing from the frenzy of publicness to let truth (aletheia) unconceal itself. In his book, the hut becomes a critique of modernity’s forgetfulness of Being, where humans treat everything, including themselves, as resources. Yet Kalın, positioned at the intersection of philosophy and power, embodies a potential synthesis: a thinker-statesman seeking authentic orientation. His journey poses a direct question: do we hold on to the essence, or do we lack the facilitative “desk” for handling problems authentically?

Technological Enframing and the Forgetting of Dasein

This leads to the contemporary challenge of generative artificial intelligence. What does AI generation mean in terms of Dasein? Heidegger’s critique of technology in “The Question Concerning Technology” (1954) provides a framework. Modern technology is not neutral but a mode of revealing: enframing (Gestell), where nature and humans become “standing-reserve” (Bestand), mere resources ordered for efficiency, unlike ancient techne, which brought forth (her-vor-bringen) in harmony with physis, modern technology challenges forth (her-aus-fordern), concealing other modes of disclosure.

Generative AI exemplifies this enframing par excellence. Models like large language models produce text, images, and code on demand, simulating creativity through statistical prediction. But this generation lacks Dasein’s existential structure. Dasein is finite, temporal, and anxious, disclosed through mood (Stimmung), understanding (Verstehen), and discourse (Rede). AI has no being-towards-death. It is not thrown into a world it cares about. Its “outputs” are average, leveled-down products of das Man, inauthentic chatter amplified infinitely.

Sitting at a digital “desk”, a laptop screen flooded with AI-generated content, does not make “everything become easier” in Heidegger’s sense. Instead, it obfuscates. AI facilitates calculative problem-solving, but at the cost of meditative depth. Problems appear “handled” through optimized solutions, yet the essence, withdrawal of Being, remains forgotten. Generative AI proliferates ready-made interpretations, discouraging the resolute anticipation (vorlaufende Entschlossenheit) needed for authenticity. In terms of Dasein, AI generation means a further falling into inauthenticity. Humans offload projection onto algorithms, treating existence as manipulable data.

Heidegger warned that technology’s danger lies in blocking poetic revealing. Generative AI risks turning language, the house of Being, into a commodified tool. When AI writes philosophy, poetry, or policy briefs, it mimics without dwelling. Kalın’s visit to the physical hut contrasts sharply. There, in simplicity, Being speaks. AI, conversely, enframes even thought as generatable content.

Gelassenheit and Modern Huts

Yet Heidegger saw danger as harboring saving power. If we confront AI as a revealing mode, it might provoke gelassenheit (releasement): letting beings be, thinking non-calculatively. Perhaps in the AI era, holding on to Dasein requires creating modern “huts”, spaces of withdrawal, whether physical retreats or disciplined practices of unplugged reflection. For figures like Kalın, balancing intelligence exigencies with philosophical pursuit models this. The wooden desk reminds us that authentic handling of problems, existential or practical, demands attunement to Being, not mere generation.

Heidegger’s writing desk, illuminated by Hermann’s anecdote and Kalın’s journey, symbolizes the persistent call of Being. Amid AI’s proliferative enframing, we must ask:

Are we holding on to the essence, or surrendering Dasein to standing-reserve?

The hut endures as a provocation to find or build facilitative spaces where everything, once again, becomes clearer. Only thus can we dwell poetically, safeguarding human existence against technological oblivion.

The NIS2 Directive (Directive (EU) 2022/2555) is the EU’s second major cybersecurity framework, adopted to strengthen and harmonise cyber risk management, incident reporting, and resilience across the European Union. It replaces the original 2016 NIS Directive with a broader scope, covering more sectors and introducing stricter security requirements. The directive was adopted and published in the Official Journal in December 2022. It aims to ensure a high level of cybersecurity across critical sectors such as energy, transport, health, digital infrastructure, public administration, and water, by setting minimum standards for risk management and incident reporting. Member States were required to transpose the directive into national law by 17 October 2024.

The directive was adopted through the EU’s ordinary legislative procedure, with the European Commission submitting the proposal and negotiations taking place with the European Parliament and the Council. While NIS2 received broad political support, negotiations involved complex technical discussions on scope, proportionality, reporting timelines, and supply-chain security. These deliberations required careful compromise to balance cybersecurity objectives with national legal frameworks and operational feasibility across the EU. The final text was adopted in 2022 and, following its publication, became binding on Member States for transposition into national law. Despite the extended preparation period, many EU countries missed the transposition deadline and remain at different stages of implementation. By mid-2025, only a minority of Member States had completed the transposition process, or were close to completing.

The Transposition Hurdle: Delays and Infringement Risks

According to Euronews, Belgium and Croatia were the first Member States to adopt national implementing legislation by the transposition deadline. Since then, several other countries—including Italy, Lithuania, Hungary, Latvia, Finland, Romania, Slovakia, and Slovenia—have adopted national laws. However, in many cases, formal notification to the European Commission of full transposition remains pending. As of mid-July 2025, approximately 14 out of 27 Member States had transposed the directive into national law. Only a limited number - such as Belgium, Croatia, Italy, and Lithuania - are generally regarded as having completed both legislative transposition and the associated notification requirements.

Delays in transposition have triggered infringement procedures at EU level. In November 2024, the European Commission issued letters of formal notice to 23 Member States for failure to transpose the directive. This was followed in May 2025 by reasoned opinions - the second stage of infringement proceedings - against 19 Member States that had still not notified full transposition, granting them a two-month deadline before potential referral to the Court of Justice of the European Union and the risk of financial sanctions.

Why Has NIS2 Transposition Proven Difficult?

This section of the article briefly examines the conceptual and methodological challenges that arise when NIS2-related principles are misapplied to law enforcement and internal security entities. It highlights the risks of conflating public-sector responsibilities with private-sector analogies and underscores the necessity of analyses grounded in national law, verified operational realities, and constitutionally mandated safeguards.

At first sight, several factors have contributed to the complexity of transposing the NIS2 Directive. The directive applies to a broad range of sectors and introduces detailed governance, incident-reporting, and cyber risk-management requirements. Member States must integrate these obligations into existing national legal and administrative frameworks, which vary significantly in structure, scope, and institutional responsibilities. As a result, transposition timelines and legislative approaches have differed widely. In some countries, including France, political developments and legislative backlogs further delayed the process. Moreover, even where national laws have been adopted, several Member States have not yet completed the formal notification to the European Commission, which is a necessary element of compliance.

The Risk of Over-Transposition: Guarding the Subsidiarity Principle

Beyond these structural challenges, a less discussed but increasingly relevant issue is the risk of over-transposition. In some Member States, political recommendations, stakeholder advocacy, or academic and policy-oriented analyses have promoted extending NIS2 requirements beyond the directive’s legal scope. This includes proposals to apply NIS2 obligations or ENISA technical guidance to police organisations. Such approaches raise complex legal and constitutional questions, particularly in areas traditionally reserved to national competence, and risk complicating transposition by introducing obligations not required by EU law.

The intersection of cybersecurity and law enforcement has therefore attracted growing attention in both policy and academic discourse. A number of studies and policy papers have examined the potential implications of NIS2 for police organisations and other internal security bodies, often proposing harmonised governance models or operational controls inspired by the directive. However, the NIS2 Directive explicitly excludes law enforcement and public security entities from its scope. Despite this clear exclusion, certain post-adoption interpretations, sometimes influenced by policy advocacy perspectives or analyses that place greater emphasis on strategic or policy considerations than on operational or constitutional frameworks, may lead to interpretations that go beyond the directive’s expressly defined legal scope.

Where national legislation, policy debates, or academic discourse do not clearly reflect the exclusion of law enforcement, interpretative uncertainty regarding the directive’s scope may emerge. This may influence policy discussions, contribute to uncertainty regarding the boundaries of EU competence, and create the perception that harmonised EU-level obligations could extend to national policing and internal security bodies. Such framing risks setting precedents that may affect the established balance of competences between the Union and the Member States in matters of internal security.

Data Sovereignty vs. Outmoded Analogies: Why Police Are Not “Digital Enterprises”

While research addressing cybersecurity risks in law enforcement contexts is legitimate and necessary, it is essential that such analysis clearly distinguishes between voluntary best practices and legally binding EU obligations. Maintaining this distinction is crucial to preserving legal certainty, respecting constitutional boundaries, and ensuring that the NIS2 Directive is implemented as intended - no more, and no less.

A particular concern arises when the language used in such studies draws conceptual analogies between public law enforcement agencies and private-sector enterprises, for example through assertions that “law enforcement agencies operate as digital enterprises.” While such phrasing may be intended to highlight organisational or technological complexity, it risks importing private-sector logics of efficiency, optimisation, or profit into domains where these considerations are neither primary nor appropriate. Law enforcement bodies are state-mandated, non-profit institutions governed by constitutional, legal, and operational frameworks designed to uphold public safety, the rule of law, and national security. Treating police organisations as functionally equivalent to private enterprises obscures their public-interest mandate and the high-sensitivity nature of their activities and may inadvertently encourage the application of governance models that are incompatible with public accountability, constitutional safeguards, and the strict avoidance of conflicts of interest linked to financial incentives.

Preserving Constitutional Order in the New Techno-Political Era

Where the exclusion of law enforcement from the scope of EU cybersecurity legislation is not made explicit, interpretative ambiguities regarding applicability may emerge. Such ambiguities can influence policy discussions and blur the delineation of EU competences in the field of internal security. In this context, the NIS2 Directive and ENISA guidance are more appropriately understood as reference frameworks, rather than as binding legal instruments for police or other law enforcement agencies, and the development of comprehensive compliance architectures on this basis may warrant careful reconsideration. Over time, such interpretative approaches could be invoked in support of broader harmonisation initiatives in the area of law enforcement cybersecurity, notwithstanding the fact that internal security remains governed by the principle of subsidiarity, as set out in the Treaties of the European Union and by competence allocations defined in national constitutional orders.

Analogies that equate police organisations with other categories of critical infrastructure—such as energy or transport operators—raise additional analytical challenges. Police information systems are uniquely sensitive, state-controlled, and embedded within constitutional and fundamental-rights safeguards that do not apply to conventional critical infrastructure entities. Framing NIS2 as directly applicable to law enforcement therefore risks obscuring important legal and operational distinctions, with potential implications for regulatory clarity. Similarly, methodological approaches that accord EU policy statements, recommendations, or communications a level of normative weight comparable to binding instruments for national police systems may contribute to uncertainty regarding institutional roles and responsibilities among policymakers, scholars, and practitioners.

Conclusion: Grounding Cyber-Security into Ethical Boundaries

This risk of misalignment becomes particularly evident when alleged conflicts, such as those relating to logging, data retention, or incident reporting, are presented as direct tensions between NIS2 obligations and constitutional policing law. In reality, Article 2(7) of the NIS2 Directive explicitly excludes entities carrying out activities in the areas of national security, public security, defence, or law enforcement. Any such conflicts are therefore theoretical rather than operational. Presenting them otherwise may give rise to interpretations suggesting a more extensive EU role in the operational governance of national internal security networks than is provided for under the Treaties, thereby raising questions regarding consistency with the principle of subsidiarity and the allocation of competences under the Treaties. Moreover, selective citation of NIS2 or ENISA materials without reference to law enforcement specific domains, coupled with reliance on private-sector regulatory literature or consultancy publications, without complementary analysis of binding legal sources, does not, on its own, provide a sufficient legal basis for claims regarding EU law applicability.

While EU research and innovation policy has made important and otherwise commendable contributions in addressing shared security challenges—including counter-terrorism, hybrid threats, and crisis resilience—its increasing proximity to areas traditionally reserved for national internal security warrants careful scrutiny. The risk of over-centralisation in relation to constitutional systems cannot be ignored. Principles of national sovereignty and subsidiarity, as well as carefully delimited delegations of competence to EU institutions, do not extend to core domains such as policing, public order, or internal security governance. The European Union’s original design as a customs union, primarily oriented toward economic integration, further reinforces the distinction between market regulation and the exercise of coercive public authority. In this context, security governance - particularly in areas such as counter-terrorism - must remain clearly distinguished from market-oriented governance models and firmly anchored in the primacy of the public interest.

From a methodological perspective, reliance on EU communications—often drafted for policy outreach rather than legal or operational precision—together with consultancy blogs, vendor marketing materials, and general policy portals, does not, in itself, provide a sufficient legal basis for substantiating claims regarding law enforcement obligations. In several such studies, the bibliography omits binding legal sources, including the NIS2 Directive itself, national transposition acts, relevant constitutional and police legislation, applicable CJEU case law, and authoritative academic literature on EU competences, subsidiarity, and law enforcement governance.

A robust literature base in this field must therefore be grounded in EU constitutional law and subsidiarity doctrine, the allocation of competences between the Union and the Member States, police governance and operational doctrine, law enforcement cyber-forensics frameworks, and established public administration cybersecurity practices. Absent these foundations, assertions regarding the applicability of NIS2 to police organisations, the binding nature of ENISA guidance for law enforcement agencies, or EU authority to define operational policing doctrine across Member States remain unsupported. This results in both methodological and conceptual shortcomings and underscores the necessity for analyses of sensitive public security sectors to rely primarily on national legislation, verified operational practices, and frameworks actually employed by law enforcement agencies, rather than on general EU communications or policy statements.

“What will the difference be between the Robutt and the dog?” This was the question that little Jimmy asked his father, Mr. Anderson, when he decided to replace his beloved positronic-robot dog, Robutt, with a real dog. Mr. Anderson answered his little boy’s question in three sentences and said “It’s hard to explain, but it will be easy to see. The dog will really love you. Robutt is just adjusted to act as thought it loves you” Little Jimmy, unsatisfied with his father’s answer, questioned him with genuine skepticism, asking; “But, Dad, we don’t know what’s inside the dog, or what his feelings are. Maybe it’s just acting, too.”

In the grand tapestry of time, as we gaze upon the tale Asimov crafted over half a century ago, it becomes a noble quest to ponder the profound wisdom Mr. Anderson bestowed upon his son; “Jimmy, you’ll know the difference when you experience the love of a living thing”. We must all embrace the bewilderment and the anxiety that little Jimmy experienced in the tale, perhaps not concerning the substitution of our cherished Robutt, but in rediscovering to confront the truth before succumbing to the fabricated tale, the art of forging epistemic creations independently, and possessing our own truths.

When Gatekeepers of the Truth Turns into Dealers of Dopamine Junkies

In the wake of the U.S. declaration of military strikes against Venezuela, a storm of AI-generated images and deceptive videos depicting Nicolás Maduro’s “capture” surged across the digital landscape. These false narratives were rapidly magnified by influencers and officials, weaving a fast-moving misinformation fog that enveloped audiences and decision-makers at a moment of heightened vulnerability, threatening to obscure the truth and sow chaos. The true controversy lies not in the fate of Nicolás Maduro or the hidden events, but in the mysterious allure that compels people to embrace and propagate these fabricated tales and imagery. Propagators can be seen as warriors of influence, wielding their power with either noble intentions, like seeking fortune through the clicks of the masses, or with shady motives, aiming to sway the crowd to their hidden agenda. Real curiosity lies in the crowd who chose to embrace those lies. Are they genuinely lost their reason, or did they intentionally become dopamine junkies?

The Enigma of What Dopamine Truly Supplants Remains a Monumental Puzzle

May it be the curiosity? In the realm of digital realms, where dopamine reigns supreme, the quest for knowledge is often thwarted by the siren call of instant gratification. This relentless pursuit of fleeting pleasures eclipses the pursuit of curiosity, which thrives on the fertile ground of uncertainty, patience, and a brave embrace of ambiguity. Curiosity, the ancient muse of discovery, demands the courage to delay gratification, to linger in the shadows of the unknown, and to embark on the epic journey of inquiry. Yet, in this age of rapid consumption, the spark of curiosity is extinguished before it can ignite the flame of understanding.

May it be the truth-seeking? In the grand saga of human cognition, dopamine emerges as a formidable force, not merely diverting the seeker from the path of truth, but transforming the very essence of how truth is discerned. In the realms of understanding, truth was a noble quest, judged by its alignment with the immutable reality, its harmony with the tapestry of existing knowledge, and its resilience to the trials of verification and falsifiability. Yet, in the modern epoch of the dopamine economy, truth is redefined by the symphony of emotional resonance, the allure of narrative satisfaction, the vibrancy of social connection, and the validation of pre-existing affective states. Thus, the journey of truth-seeking is forever altered, as the criteria shift from the cold, hard facts to the warm, inviting embrace of human experience.

May it be the moral responsibility? In the chronicle of knowledge consumption, moral responsibility stands as a mighty guardian, demanding that we recognize the weight of our beliefs. Yet, in the realm of dopamine-driven epistemology, this guardian is cast aside, transforming the quest for truth into a mere spectacle of entertainment. When misinformation is devoured for its allure, belief becomes a fleeting whisper, commitment a mere suggestion, and responsibility a shadow dispersed across the land. The seeker no longer inquires, “Is this true?” but instead, “Is this captivating?”

I MEAN, Do We Have to Make Them Dispose the Robutt?

Maybe we are not yet advanced enough to create positronic-robots, but our technology is advanced enough to create fake imagery, construct false narratives, and distribute them all across the globe in a blink of an eye. More importantly, we are lucky(?) enough to find a crowd to embrace all of our hard-work(!). Yet, in all of this success, there’s a shadow of doubt… Are we truly lucky, or have we just stumbled onto a dangerous path? Should it be our noble quest to make our crowd realize the intrinsic value of the difference between reality and creation? Is it really matter for them to realize, or is it really matter for us to if they realize? Do we have to make them dispose the Robutt when they are just doing fine with him? But above all, can we brace ourselves for the moment they choose to retain the Robutt..?

Alright, buckle up, folks! Whether you’re a cinephile, a tech junkie, or just someone scrolling through life with a popcorn bucket in hand, we’re diving into the wild world of Mountainhead.

This 2025 flick, penned and directed by Jesse Armstrong (yep, the genius behind Succession‘s deliciously dysfunctional family feuds), is basically a razor-sharp satire on the tech overlords who think they can code their way to ruling the planet. If you haven’t seen it yet, no worries. I’ll keep this spoiler-light, like teasing a plot twist without ruining the punchline. Think of it as The Big Short meets Dr. Strangelove, but with AI, billionaires, and enough ego to power a SpaceX rocket.

At its core, Mountainhead follows a cozy cabal of ultra-rich tech bros holed up in a snowy retreat, playing high-stakes poker while the world outside spirals into chaos. These characters aren’t just random rich dudes. They’re thinly veiled stand-ins for
real-life titans like Elon Musk, Mark Zuckerberg, Sam Altman, Peter Thiel, and
Marc Andreessen. The film’s got this biting humor, poking fun at their
god-complex vibes, how they casually tinker with society like it’s a buggy app
in beta testing.

Now, zoom in on the Elon Musk-inspired character (let’s call him “Space Baron” for fun, to avoid spoiling the cast’s stellar performances). This guy’s a whirlwind of
disruption, wielding his massive social media platform like a digital
Excalibur. He stirs up global drama with a few keystrokes; spreading memes,
amplifying controversies, and basically turning the internet into his personal
chaos engine. But it doesn’t stop at online trolling. The crew starts
brainstorming which country to “upgrade” next, debating takeovers like they’re
picking a Netflix show. It’s hilarious in a terrifying way, highlighting how
these elite few see nations as mere playgrounds for their grand experiments.
Armstrong nails the absurdity: these aren’t villains twirling mustaches but
they’re well-intentioned disruptors who accidentally (or not) set the world on
fire while sipping artisanal whiskey. It’s got Steve Carell and Jason
Schwartzman chewing scenery like pros, and the dialogue zings like a Twitter
beef on steroids.

But here’s where the reel meets the real: Mountainhead isn’t just fiction. It’s like
Armstrong held up a mirror to Elon Musk’s actual antics on X. Musk doesn’t
literally plot country takeovers in a cabin (that we know of), but he’s turned
his platform into a geopolitical megaphone, stirring pots from London to Tehran
to Caracas. Take the UK, for instance. During the 2024 riots, Musk amplified
far-right narratives, tweeting about “civil war” and boosting anti-immigration
voices, which critics say fanned the flames and gave extremists a massive
signal boost. In Iran, he provided Starlink access to protesters dodging
government blackouts, positioning himself as a digital liberator but also
inserting himself into a sovereign nation’s turmoil without an invite. And
Venezuela? Musk weighed in on elections, calling out President Maduro and even
offering to “fight” him in a cage match (classic Elon flair), which amplified
opposition voices and added fuel to an already volatile situation. It’s not
direct conquest like in the movie. No boardroom votes on “Which nation gets the
Musk makeover?” But it’s undeniable political meddling. Musk’s 200-million-plus
followers hang on his every post, turning his opinions into viral policy
influencers. As X’s owner, he’s not just participating; he’s shaping the
discourse, often tilting toward right-wing views that challenge established
governments.

Now, let’s crank up the conspiracy vibes (in a fun, tinfoil-hat-optional way). What if this isn’t random chaos? Critics argue that Musk and his tech bro circle -Musk,
Andreessen, Thiel, and pals- aren’t just poking bears for laughs. They’re part
of a broader ideology that sees traditional states as outdated relics, ripe for
disruption. By amplifying divisions on social media, they weaken national
cohesion, making room for their vision of a fragmented, tech-driven world.
Enter the “Network State,” a brainchild of Balaji Srinivasan (ex-CTO of
Coinbase and Andreessen Horowitz alum). This isn’t some sci-fi plot, it’s a
real manifesto from his 2022 book, The Network State: How to Start a New
Country. The idea? Build online communities that evolve into sovereign
entities, complete with their own currencies, laws, and borders. Think
crypto-nations floating in the cloud or on seasteads. It’s like upgrading from
nation-states to “network states,” where loyalty isn’t to flags but to apps and
algorithms. Musk’s forays into global politics? They align eerily with this,
chipping away at old power structures to pave the way for these digital utopias
(or dystopias, depending on your VPN settings).

In Mountainhead, the bros debate country-shopping like it’s Amazon Prime. In reality, Musk’s tweets erode trust in governments, while ideas like Network States offer the “fix”, a world where tech elites call the shots without pesky elections or borders.
It’s equal parts genius and bonkers, but hey, in an era where a meme can tank a
stock or topple a regime, who’s to say it won’t happen? If this all sounds like
a wild ride, it is. But that’s the beauty of it. Tech isn’t just gadgets
anymore; it’s the new geopolitics, served with a side of satire. So, grab your
tinfoil hat, watch the movie, and ponder: Are we living in the prequel?

In the wild west of Twitter (sorry, X), on October 30, 2025, Marc Andreessen drops a bombshell: a photo of Eric Voegelin’s The New Science of Politics, paired with his own cryptic warning against “immanentizing the eschaton” and going “full millenarian.”

For the uninitiated, that’s philosopher-speak for “Don’t try to build heaven on Earth, you utopians.” Coming from a VC who’s basically the high priest of techno-optimism, it’s like Elon Musk tweeting “Maybe don’t colonize Mars too fast.” But let’s zoom out. Andreessen’s nod to Voegelin isn’t just a book club pick. It’s a flare gun in the ongoing techno-political circus.

The Silicon Flare Gun: Andreessen’s philosophical bombshell

And to make sense of it, we need to pit Voegelin against his interwar frenemy, Carl Schmitt, the German thinker who saw politics as a bar fight between friends and enemies. Buckle up; this op-ed’s about to get hilariously philosophical.

First, a quick primer for those whose idea of deep thought is scrolling Threads. Carl Schmitt, the jurist who influenced everyone from Nazis to neoliberals (talk about a flexible resume), boiled politics down to one rule: It’s all about the “friend-enemy” distinction.

Forget debates or compromises; the sovereign decides who’s in the club and who’s out. In Schmitt’s world, politics isn’t about ideals; it’s raw power, exceptions, and deciding when to suspend the rules.

Now, fast-forward to techno-politics in 2026: Think Big Tech CEOs drawing lines in the silicon sand. Andreessen’s a16z fund backs AI startups like they’re the “friends” in a global arms race against Chinese tech “enemies.” Schmitt would nod approvingly: “Ja, that’s politics, pick your side or get disrupted.” No heaven-building here; just eternal vigilance against the other guy hacking your cloud.

Eric Voegelin, the Austrian philosopher who fled the Nazis and spent his life roasting modern ideologies as “gnostic” heresies, fancy for saying they’re delusional cults trying to “immanentize the eschaton,” or force-feed utopia down society’s throat. Voegelin saw politics as a quest for order rooted in human experience, not some millenarian fever dream where we transcend reality.

Ideologies like communism or fascism? Just ancient gnosticism in a suit, promising paradise if you just purge the impurities. Andreessen quoting Voegelin is peak irony: The man who wrote the “Techno-Optimist Manifesto”, a love letter to accelerationism where AI solves everything from poverty to existential dread, now warns against going full doomsday cult? It’s like a CrossFit guy preaching moderation while chugging protein shakes.

The TED Talk from Purgatory: Accelerationism vs. Original Sin

So, how do these two German political philosophers stack up in the age of algorithms and Andreessen? Schmitt’s lens turns techno-politics into a WWE smackdown. Silicon Valley vs. regulators? Friends (deregulate!) vs. enemies (antitrust suits!). AI ethics debates? Nah, just sovereign tech lords deciding the exception, like when OpenAI’s board tried to oust Sam Altman, only for the “friends” (investors) to win.

Schmitt would love it. No neutral ground; you’re either accelerating or you’re the enemy, slowing humanity’s progress. But Voegelin? He’d eye-roll so hard his glasses would shatter. Tech utopians like effective accelerationists (e/acc for short) are classic gnostics, worshipping AI as the new god that’ll immanentize infinite growth, eternal life, and zero scarcity.

Andreessen’s manifesto reads like a millenarian tract: “We believe in accelerationism, the conscious evolution of technology to improve human lives.” Voegelin’s ghost: “Sounds like you’re trying to play God without reading the fine print on original sin.”

Humorously, the comparison reveals why techno-politics is such a clown car. Schmitt gives us the drama. Epic battles like Musk vs. Zuckerberg (remember the cage fight tease?), where politics is theater with billions at stake.

Voegelin supplies the satire. These tech bros think they’re saving the world, but they’re just reinventing old heresies with better GPUs. Imagine Schmitt and Voegelin at a TED Talk.

Schmitt: “The enemy is clear, legacy media, slow regulators, Luddites!”

Voegelin: “Nein, the real enemy is your hubris, you eschaton-immanentizing fool!” Andreessen, caught in the middle, tweets a book pic as if to say, “Hey, I’m self-aware... ish.”

The Eschaton is on You: Coding the apocalypse away

In the end, maybe Andreessen’s post is a subtle self-roast. Techno-optimism walks a Schmittian tightrope of friend-enemy tech wars, but veers dangerously into Voegelin’s forbidden gnostic zone. If we don’t heed the warning, we’ll end up with AI overlords promising utopia while delivering dystopia, think Skynet with ads. So, tech lords, take note. Pick your enemies wisely (à la Schmitt), but for the love of sanity, don’t try to code the apocalypse away (pace Voegelin). Otherwise, the eschaton’s on you.

Picture this: One day, you’re scrolling through headlines about endless conflict in Gaza. The next, a glossy PowerPoint leaks, 32 slides of gleaming beachfront high-rises, high-speed rail slicing through palm-lined boulevards, AI humming in smart grids that optimize everything from traffic to trash collection. Luxury resorts dot the coast, turning what was once a war zone into the “Riviera of the Middle East.” It’s called Project Sunrise, a $112 billion, decade-long vision pitched by none other than Jared Kushner and Steve Witkoff, Trump’s inner circle real estate wizards.

But hold up! This isn’t just another postwar rebuild. This feels like something straight out of Silicon Valley’s wildest fever dreams. Because while Kushner and crew are hawking this to Gulf donors and governments, a parallel movement in tech circles is plotting to bypass nation-states altogether: the Network State.

The Sunrise Pitch: From Ashes to AI-Powered Paradise

Let’s zoom in on the plan itself. Project Sunrise, a slick 32-slide PowerPoint dreaming up a $112 billion transformation over ten years. The vision? Turn Gaza’s coastline into a high-tech enclave. Gleaming high-rises, luxury resorts, high-speed rail, AI-optimized smart grids managing everything efficiently.

But here’s the stark reality check. You don’t get to this glossy future without confronting how we got here. Gaza lies in ruins. 68 million tons of rubble, toxic soil contaminated by explosives, unexploded ordnance scattered everywhere, thousands still buried beneath the debris.

Phase one isn’t magic, it’s grim. Clear the mountains of destruction, detox the ground, recover bodies. Temporary shelters for 2 million people? The details are conveniently fuzzy where exactly do they go, and for how long?

At the helm is Jared Kushner, the real estate developer turned Middle East dealmaker, whose Affinity Partners is flush with billions from Gulf sovereign funds. He’s long described Gaza’s coastline as “very valuable waterfront property”, words that landed controversially amid the crisis, sounding to many like eyeing a fire sale. Trump dubs it the “Riviera of the Middle East,” pitching it to donors in Miami meetings.

The renders are seductive, no doubt that futuristic coastal paradise rising from a “blank canvas.” But that canvas wasn’t blank to begin with; it was home to millions, with beaches and neighborhoods that existed long before the devastation.

Critics see disaster opportunism. A war-torn enclave reimagined as an elite playground, with displacement risks baked in, funding uncertainties, and a heavy reliance on external capital. Who benefits most from those projected billions? The residents, or the investors circling the waterfront?

It’s a bold pitch, sure. But against the backdrop of utter ruin, it raises uncomfortable questions about whose sunrise this really is.

Meanwhile, in Silicon Valley: Building Nations from Scratch

Cut to the tech elite, who’ve grown tired of pesky regulations, taxes, and democracies slowing their roll. Enter the Network State, popularized by Balaji Srinivasan in his 2022 book The Network State: How To Start a New Country. Start online with a highly aligned community (crypto bros, longevity hackers, whatever your tribe). Crowdfund, build digital tools, then “land” on physical soil.

Key players? Balaji himself, Peter Thiel, Vitalik Buterin (Ethereum powering blockchain governance), Bryan Johnson (anti-aging guru). Projects like Próspera in Honduras (Thiel-backed, company-run zone facing lawsuits), Praxis (mega-funded crypto city hunts), Zuzalu pop-ups. Conferences in Singapore draw governments from Dubai to El Salvador.

It’s “exit” over “voice”. Don’t vote to change the system, just leave and build your own. Neoliberal utopia: Custom rules, blockchain votes, opt-in societies. Critics call it techno-colonialism—elites grabbing land in weaker nations, deepening inequality.

The Eerie Overlaps: Same Vibes, Different Pitch Decks?

No emails showing Balaji whispering in Kushner’s ear, or Thiel cutting checks for Project Sunrise. But the parallels? Uncanny.

Both crave autonomous zones. Low-tax, custom-governed enclaves on “undervalued” land. Gaza post-conflict? A devastated tabula rasa, perfect for special economic treatment. AI/smart tech central to both. Network States love blockchain governance, Sunrise touts AI grids and innovation labs.

Ideology echoes. Disaster as opportunity. Kushner’s old comments on Gaza’s beachfront value mirror how Network State fans eye “blank slates” (failed states, empty lands). Charter cities like Próspera are the prototype, private management, “exit” freedom.

What if Gaza becomes the biggest test yet? Gulf cash (already funding Kushner) meets U.S. muscle, turning it into a de facto Network node; crypto-friendly, tech-elite haven, loosely tied to hosts but running its own show.

Utopia or Dystopian Land Grab?

Optimists say “Boom time! Jobs, prosperity, peace through shiny infrastructure. A model for conflict zones worldwide.”

Pessimists say “Colonialism 2.0. Displacement risks (voluntary? Sure.), inequality baked in (who gets the penthouses?), fragility to hacks or backlash. Žižek-style critique: Elites escaping democracy, allying with autocrats.

Is Gaza the unwitting pilot for the Network State dream. Trump real estate meets Valley disruption? Or just ambitious rebuilding with familiar flaws?

One thing’s clear: In this hyper-connected world, borders are blurring. Whether it’s Sunrise rising or a networked experiment landing, the future of sovereignty just got a lot more intriguing. Buckle up. this story’s just starting.

It’s the end of 2025, and while Silicon Valley is churning out AI models that can outthink chess grandmasters and diagnose diseases better than doctors, Europe is still debating whether to hit “snooze” on its tech alarm clock.

Enter RAND Europe’s latest report, “Europe and the Geopolitics of AGI: The Need for a Preparedness Plan,” a 102-page wake-up call co-authored by a team from RAND, the Centre for Future Generations, and top universities (Stanford University, University of Oxford, Massachusetts Institute of Technology, University of Cambridge, ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems). It’s like the Draghi Report on competitiveness, but for a world where machines might soon outsmart us all.

Spoiler: Europe isn’t ready, but with a dash of urgency (and perhaps some espresso), it could be.

The report kicks off with a bold claim: Artificial General Intelligence (AGI), AI that matches or beats humans at most economically useful cognitive tasks, could arrive between 2030 and 2040, or even sooner.

Six years ago, AI struggled with basic text; today, models like GPT-5 win math olympiads and code like pros. But the frontier is “jagged,” acing structured tasks while flunking simple ones, like recognizing an extra stripe on an Adidas logo. (AI fashion sense? Still evolving.)

Drawing on expert surveys and models, the authors peg a 25% chance of AGI by the late 2020s. Underpinning this: the “AI triad” of compute (up 5x yearly), data (3.6x), and algorithms (3x). No hard walls yet, though data scarcity might force creative workarounds, like AI-generated “synthetic” data. Humorously, if scaling laws hold, we’re on track for AI that folds laundry better than I do by 2030?

Geopolitically, AGI isn’t just tech; it’s a power shift on steroids. Nations mastering it could automate labor, supercharge R&D, and grow economies exponentially, outpacing rivals. Militarily, imagine swarms of autonomous drones or cyber ops that make today’s hacks look quaint.

The report warns of instability: a race to AGI might spark export bans, cyberattacks, or even preventive wars. (Think Gulf War, but with AI “wonderweapons.”) Non-state risks loom too, terrorists designing bioweapons or rogue AIs going Skynet. Superpowers are already treating AI as existential: The US slaps chip controls on China, while Beijing pumps $137 billion into its ecosystem. Middle powers like the UK and UAE scramble for alliances. Europe? Stuck in the middle, without a clear playbook.

Here’s where the humor turns wry: Europe, the continent that gave us the Enlightenment, now risks enlightenment by AI—someone else’s. The report’s preparedness assessment is blunt. Strategic awareness? Patchy.

The UK’s AI Security Institute leads with 300+ staff, but the EU AI Office limps along on €46 million and a narrow mandate, while Germany skips key fora. Competitive positioning? Lagging. European models trail by 6-12 months; we control 5% of global AI compute (vs. US 75%); attract 6% of venture funding; pay sky-high energy prices; and lose talent to US salaries. Diffusion? Mixed. 13.5% of firms use AI, but structural frictions like weak research-to-product links slow gains.

Leverage exists: ASML’s lithography monopoly and the Single Market’s pull (the “Brussels Effect”). But wielding them is tricky. ASML relies on US tech, and market power wanes if AGI gets securitized.

Policies? Ambitious but fragmented. The AI Continent Action Plan aims for €200 billion in investment and gigafactories, but it’s spread thin across DGs and Member States, with unanimity rules risking vetoes in crises. (Hungary blocking Ukraine aid? Imagine that for AI chips.)

The punchline, or recommendation, is a Draghi-style “AGI Preparedness Report,” led by a tech-savvy heavyweight with a six-month mandate. It would tackle sovereignty vs. benefits, societal shocks, and global stability. Why a report? Stakes are high; getting it wrong costs billions or autonomy. It integrates domains (economy to defense) and leverages experts for rigor. Unlike Draghi, it’d anticipate fast timelines and geopolitical twists.

RAND’s report is a witty reminder that Europe can’t cafe-hop through the AI revolution. AGI could amplify inequalities or unlock prosperity, Europe’s choice. Time to swap croissants for code? Not quite, but a preparedness plan might just keep them in the game.

Remember the good old days of the Cold War? When superpowers flexed their muscles with nukes and moon landings, turning atoms and orbits into symbols of supremacy? Fast-forward to 2025, and we’ve swapped mushroom clouds for megaflops. Welcome to the AI arms race, where “compute power” isn’t just tech jargon, but it’s the new nuclear deterrent. Whoever racks up the most GPUs, data centers, and algorithmic wizardry doesn’t just win bragging rights; they reshape global power like a digital deity. As a geopolitics junkie who’s seen tech eclipse tanks, let me break this down with some historical flair, fresh data, and a dash of wit. Buckle up! it’s not sci-fi; it’s your future.

Think back to the 1940s. The Manhattan Project birthed the atomic bomb, giving the U.S. a brief monopoly that ended with Soviet spies and Stalin’s own blasts. That era’s lesson? Tech breakthroughs aren’t just inventions; they’re geopolitical earthquakes. Today, AI’s “compute power”, which is the raw processing muscle needed to train massive models like GPTs or Grok, is the equivalent. It’s not about who has the biggest bomb anymore, it’s who has the biggest brain in the cloud. According to recent reports, the U.S. controls the lion’s share of global AI training compute, building clusters that guzzle more power than small countries. China, meanwhile, is pouring up to $98 billion into AI capex this year alone, a 48% jump from 2024, with $56 billion from government programs and $24 billion from tech giants like Alibaba and Tencent. That’s not pocket change; it’s a strategic sprint to close the gap, echoing how the Soviets ramped up after Sputnik shocked the world in 1957.

But why does compute matter so much? In AI, it’s the great equalizer or divider. Training frontier models demands insane resources. OpenAI’s latest chip orders alone could suck up 26 gigawatts, enough to power three New York Cities at peak. Control that, and you dictate everything from autonomous drones to economic forecasts. The U.S. holds the high ground here, thanks to Nvidia’s dominance and its Blackwell chips are geopolitical signaling devices, projecting U.S. momentum in this “Digital Cold War.” China counters with clever workarounds: Huawei’s Ascend 910C, a homegrown accelerator shipping en masse in 2025, links lower-powered chips for double the performance of rivals, despite U.S. export controls. It’s like the Industrial Revolution all over again. Britain’s steam engines gave it empire-building edge in the 1800s, but rivals like Germany innovated around patents to catch up. Today, Beijing’s “system-level optimization” (think efficient clustering) versus America’s “brute-force capital” is the modern twist.

Deterrence in this race isn’t about mutually assured destruction, it’s mutually assured disruption. U.S. sanctions on high-end chips like Nvidia’s A100s force China to pivot to domestic alternatives, but they’ve created an oversupply of AI hardware in China, 250 public data centers flushing with chips, some even H100s smuggled through gray markets. Yet, utilization hovers below 30%, highlighting a demand bottleneck, not supply. Flip to the U.S. A hidden ace is its “Gross Domestic Intelligence” (GDI), tens of millions of idle NPUs in smartphones and laptops that could boost inference capacity by 30-40% without new infrastructure. This hybrid local-cloud setup turns everyday devices into strategic assets, much like how the U.S. mobilized its industrial base during WWII to outproduce Axis powers.

And it’s not just a U.S.-China duel. Russia, sidelined by sanctions, leans on cyber warfare and Chinese tech support, exporting disinformation tools as its deterrent. Europe? The EU’s AI Act is a regulatory shield, but it risks falling behind without massive compute investments—echoing how post-WWI France built the Maginot Line, only to be outflanked by blitzkrieg innovation. Emerging players like the UAE and India are building sovereign AI stacks, but scale favors the giants. By 2030, Bain predicts an $800 billion U.S. revenue lead in AI infrastructure, unless China’s 3D-stacked accelerators (claiming 120 TFLOPS on older nodes) disrupt the game.

Strategic superiority here means rewriting reality. AI doesn’t just predict wars; it wins them preemptively with targeting systems, economic simulations, even narrative control. Remember the Space Race? Apollo 11 wasn’t just a moonwalk. It was soft power that bankrupted the Soviets chasing parity. Today’s AI race could do the same: Overinvest, and you drain resources; underinvest, and you’re obsolete. As 2025 unfolds with truces on tariffs but not chips, the real battle is for “compute sovereignty.” Nations are pledging billions at summits like Paris 2025 to upgrade AI infra, turning data centers into digital fortresses.

So, why tune in to this saga? Because ignoring AI geopolitics is like sleeping through the Renaissance you wake up in someone else’s world. The side that masters compute won’t just lead; it’ll define ethics, economies, and empires. From historical parallels to today’s chip skirmishes, this is the thrill ride of our era. Stick around at teknopolitika.com. We’ll decode the next moves, from Stargate superclusters to stealthy sanctions. Who wins? Spoiler: It’s the ones who see it coming. Let’s geek out on the geopolitics that’s coding our tomorrow.

We are no longer living in an era where technology is merely a tool of politics. We have entered the age where technology is politics: raw, brutal, and decisive. The old map of power had borders, parliaments, armies, and currencies. The new map has data centers, undersea cables, GPU clusters, satellite constellations, foundation models, and kill switches embedded in code. Whoever controls these controls the future. The struggle is no longer only between left and right, or even between nation-states in the classical sense. It is between three new actors that have never coexisted before at this scale:

1. Nation-states that are waking up to the fact that technological sovereignty is the new nuclear deterrent.

2. Mega-corporations whose market cap exceeds the GDP of most UN member states and whose private laws (Terms of Service) govern more daily human interactions than any constitution.

3. Algorithms: autonomous systems that already decide who gets a loan, who gets bombed, who gets amplified, who gets shadow-banned, and who gets to see which version of reality.

This triangle (state, corporation, algorithm) is the new cockpit of history.

When the United States can unilaterally cut Iran or Russia off SWIFT, that is techno-politics. When the European Union forces Apple, Google, and Meta to accept a common charger or face existential fines, that is techno-politics. When OpenAI, Anthropic, and xAI quietly decide which values to “align” their models with (values that will soon mediate most human knowledge), that is techno-politics. When Turkey quietly builds its own national AI stack while negotiating cloud deals with both Washington and Beijing, that is techno-politics. When Israel’s Unit 8200 alumni run half the world’s cyber-offense companies and feed real-time targeting data into Iron Dome and Lavender AI, that is techno-politics.

Most people still watch this through the tired lens of “technology policy.” A boring committee in Brussels, a new law about privacy, TikTok bans, or Elon Musk tweets. That is like watching World War II through the lens of logistics regulations.

Techno-politics is not a subcategory of politics. It is the new operating system of power itself.

In the coming decade, the most important decisions affecting your freedom, security, and prosperity will not be taken in parliaments you can vote for. They will be taken in rooms you will never enter, by people you did not elect, using mathematics you cannot read, on infrastructure you do not control.

• Will your country have independent access to frontier AI models in 2030, or will it pay tribute in data and dollars to foreign labs?

• Will your children learn history from a model trained on open Internet data or from one quietly steered by a ministry in Beijing, Virginia, or Tel Aviv?

• When the next war breaks out, will targeting decisions be reviewed by humans or delegated to systems trained on data you never audited?

• When the next financial crisis hits, who will have the authority to freeze your digital wallet: your government, a Silicon Valley payments company, or both in coordination?

These are not science-fiction questions. They are being coded, legislated, and deployed right now, mostly in plain sight but in a language the old political class never learned.

This Substack exists for one reason: to translate that new language into something you can actually understand and act upon before the window closes.

We will not bore you with press-release journalism or partisan cheerleading. We will show you the hidden wiring: the real interests behind the EU’s AI Act, the secret clauses in cloud contracts signed by Middle Eastern governments, the quiet race for orbital data centers, the national security memos that never get leaked, the venture deals that look innocent until you see who the LPs are.

We will connect dots across Washington, Beijing, Brussels, Tel Aviv, Abu Dhabi, Ankara, and the Bay Area, because that is where the new great game is played.

If you still think technology is neutral, you are already losing. If you think your vote in national elections is still the most important political act you can perform, you are living in 1995. If you believe “someone else” will protect your interests in this new world, you haven’t been paying attention.

Subscribe. Not because we want your email. Subscribe because in the next five years, the side that understands techno-politics first will write the rules for the next fifty.

The triangle is already spinning. The only question is whether you will watch from the stands or learn how the game is really played.

Welcome to teknopolitika.com

The rest of your future starts here.

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