> ## Content Index > Fetch the complete content index at: https://atopicosphere.ghost.io/llms.txt > Use this file to discover other available public pages before exploring further. # The Loop and the Black Hole - URL: https://atopicosphere.ghost.io/en/articles/the-loop-and-the-black-hole/ - Published: 2026-07-23T10:52:44.000Z - Updated: 2026-10-07T18:29:38.000Z - Description: Published on July 23, 2026 - Author: amorsantos - Tags: #en, #artigo, #news ## **Semiconductors, AI, and the Arithmetic of Exuberance** --- ## **Preamble: The Invisible Geography of the Loop** In 2023, while Nvidia crossed the one trillion dollars milestone for the first time, in Kolwezi, Democratic Republic of Congo, artisanal miners extracted cobalt — a critical mineral in the chip and battery supply chain—by ​​hand, in the open pit, for wages of two to three dollars a day. The cobalt extracted under these conditions travels the supply chain to Asia, is incorporated into devices assembled in Penang or Johor Bahru, and reaches the end user as part of a *GPU supporting a stock market *multiple of 41.7 times the sector's gross value added.** No valuation model accounts for this journey. The value created at the beginning of the chain is not discounted—it is simply ignored. This is the first layer of social transmission that this article analytically addresses: the extraction of value from territories that lack access to the valorization that this value sustains. In the lithium triangle—Argentina, Bolivia, Chile—the indigenous communities that live above the largest reserves of the most sought-after mineral in the digital transition face increasing drought, aquifer contamination, and forced relocations to make way for extraction projects whose contracts benefit multinational corporations listed on stock exchanges whose capitalization grows in direct proportion to the demand for semiconductors and electric vehicles. The cycle closes far from them. The second layer is that of the invisible work at the bottom of the value chain. Nvidia's gross margins exceed 70%. In chip packaging factories in Penang and Kuala Lumpur, the average worker's pay is between US$300 and US$500 per month. The worker who performs electrical continuity tests on the latest generation chips will never, in her entire professional life, touch a company's RSU (Restricted Stock Unit) whose product passes through her hands. She doesn't have access to the mechanism described in this article—the one by which market cap pays salaries with overvalued stocks. What you receive is denominated in ringgit, subject to currency devaluation induced by monetary wars between superpowers, and doesn't grow when Nvidia hits quarterly records. The third layer is that of silent displacement. In the Philippines, approximately 1.3 million people work in customer service centers—the largest concentration of *contact centers* of the world, based on fluent English and time zones convenient for Western markets, and one of the archipelago's main sources of remittances. The language models trained on the GPUs that Filipino workers indirectly helped manufacture are progressively replacing these functions. > ***The structural irony is complete: the chain that begins with cobalt in the Congo, passes through the work of Asian factories, and ends in an AI model valued at hundreds of billions of dollars, returns to the starting point a process of smooth but persistent deindustrialization that is not compensated for by any transition policy worthy of the name.*** The fourth layer is monetary and structural. The decade of near-zero interest rates after 2008 — deepened by the pandemic QE of 2020–2021 —It created the liquidity conditions that made the technological loop possible: with real interest rates at zero, capital migrated en masse to long-term assets, compressing the discount rate and inflating multiples. The loop didn't create this environment—it was its main beneficiary.When the 2022–2023 inflation forced central banks to reverse the cycle, its causes were different: the abrupt rebound in post-COVID demand, persistent disruptions in global supply chains, and the energy shock of the Russian invasion of Ukraine. The loop was a privileged spectator of this storm, not its author. What matters is the transmission mechanism that followed: the rise in US interest rates, regardless of its causes, withdrew liquidity from the global system with the speed that digital financial integration allows. In 2022 and 2023, countries like Ghana, Sri Lanka, and Pakistan faced sovereign debt crises not because the loop had directly impoverished them, but because the architecture of the international monetary system transforms any tightening by the Fed into a vacuum for capital from emerging markets—regardless of what caused that tightening. It is a structural asymmetry: the peripheries pay the adjustment costs for disruptions they did not generate. The link to the loop is indirect but real:the same liquidity that financed Nvidia's valuations had previously flowed into emerging market sovereign debt in search of yield.When the tide receded, it receded from all sides at once. In the near future, the energy pressure from data centers introduces a second contagion route—the electricity consumption of the AI ​​industry doubled between 2020 and 2024 and is expected to double again by 2026—which will compete with domestic electrification in economies where grid access is not yet universal. This is, for now, an emerging tension, not an established cause. But its direction is unmistakable. The following article does not start from these geographies—it starts from the numbers. It builds its analysis from market capitalization, added value, and payroll indices in six American industries; it explores the arithmetic that underpins a 200-fold Price/Earnings ratio in semiconductors; it identifies the closed-loop system that connects Nvidia to Big Tech to artificial intelligence and back to Nvidia; and it unfolds three disruption scenarios before attempting the wide-angle view that integrates supply chains, currency wars, escalating sovereign debt, climate stress, and the risk of state disintegration. ***What this preamble aims to add is a coordinate that financial analysis rarely includes in its axes: the geographical distribution of consequences when the promised value doesn't arrive, or arrives too late for those who were at the beginning of the chain to sustain it. The market doesn't register Kolwezi. Gordon's model doesn't discount Penang. The Fed's discount rate doesn't include Manila. But these cities are in the same system. And when the loop falters, they will feel the shock before any index reflects it.*** There is a question that financial analysts rarely formulate clearly: ***For today's price to make sense, what kind of economy needs to be built tomorrow? -* Schumpeter *would ask*.** In the semiconductor and artificial intelligence sectors, the answer to this question is so demanding that it requires a new category of analysis—not of markets, but of physics. The market is literally betting on building a reality different from the one that exists. The numbers that follow are not opinions. They are arithmetic. And what they reveal is that current stock market capitalizations do not reflect generated value—they reflect a promise of value that, in order to materialize, requires a reorganization of the global economy unprecedented in the history of capitalism.The central question is not whether this promise will be fulfilled. It is to understand what mechanism sustains it, what happens when it falters, and why central banks seem to be held hostage by the fiction they are supposed to regulate. --- ## **I. The Arithmetic of the Promise** To calibrate the problem, we used the United States as a benchmark, as it has the most complete and accessible national accounts and market capitalization figures. The following table compares six non-financial industries according to three indicators:**MCap - Market Capitalization** (market value of listed companies) **GVA - Gross Value Added** (real contribution to GDP excluding financial intermediation) and **SAL - Salary Volume** (total remuneration, including social security contributions). The figures are approximate, based on 2022–2024 data, and the ratios are derived directly from these estimates.¹ | INDUSTRY (USA) | MCap (B$) | GVA (B$) | SAL (B$) | MCap/GVA | SAL/GVA | MCap/SAL | | ------------------- | --------- | -------- | -------- | -------- | ------- | -------- | | semiconductors | 5 000 | 120 | 86 | 41,7× | 72% | 58,1× | | Internet & Software | 9 000 | 800 | 557 | 11,3× | 70% | 16,2× | | Pharmaceutical | 2 000 | 176 | 93 | 11,4× | 53% | 21,5× | | Energy | 3 000 | 736 | 197 | 4,1× | 27% | 15,2× | | Agri-food | 1 000 | 580 | 164 | 1,7× | 28% | 6,1× | | Logistics | 1 200 | 958 | 461 | 1,3× | 48% | 2,6× | The three indices reveal distinct dimensions of the same phenomenon. The **MCap/VAB ratio** measures how many times the stock market value exceeds the real contribution to GDP. In semiconductors, the multiple reaches 41.7×; in software and internet, 11.3×. In industries intensive in physical capital — energy, agri-food, transport — the same ratio oscillates between 1.3 and 4.1×. The latter are worth what they produce. The former are worth what they promise to produce. The **SAL/VAB ratio** maps the functional distribution of income. In semiconductors and software, wages absorb \~70% of the value generated, reflecting the intensity of human capital. In energy and agri-food, this share falls to 27–28%: most of the GVA is captured in the form of profits, rents, and depreciation of physical capital. The **MCap/SAL ratio** is the most revealing example. For every dollar paid in wages in the semiconductor industry, the market assigns $58 in value to the company. In transportation, that same dollar in wages is worth only $2.6 in the market. This difference is not merely quantitative—it's civilizational. It separates industries of *ideas* from the industries of *things*. Regarding artificial intelligence: it doesn't exist as an autonomous category in national accounts. It's a cross-cutting technology whose impact is diluted across semiconductors (hardware) and software (platforms and services). If it were possible to isolate a "pure AI" sector, the MCap/GVA multiple would be even more extreme—because companies like Nvidia or large cloud providers are valued with a growth premium that reflects not the present, but an implicit certainty about the future. --- ## **II. Market Cap as a Wage Currency** There is an interpretation of the figures above that rarely appears in financial literature: in sectors with higher multiples, market cap is not merely reflecting value—***it is paying for it.*** A significant portion of compensation in the semiconductor and internet sectors consists of stock rather than cash. For a senior engineer at Nvidia or Google, the compensation package might comprise 50% base cash salary and 50% RSUs (Restricted Stock Units). The value of these shares depends directly on market capitalization. A high market cap literally funds a substantial share of salaries, because the company issues securities with a value dictated by the share price. > **The 58.1x ratio (market cap to personnel costs in semiconductors) means that for every dollar reported as a personnel cost—including the fair value of shares granted—the market assigns $58 in value to the company. The "currency" used to pay talent is extraordinarily efficient: a fraction of the equity funds a payroll that a company with standard valuation multiples could not sustain using cash.** Yet this efficiency drives a self-reinforcing cycle—one that contains within itself the seed of its own disruption. The logic follows this chain: the market anticipates massive future profits, inflating market capitalization; this high valuation allows current salaries to be paid using high-priced stock; these salaries attract and retain the talent that will generate those future profits; and as those profits begin to materialize, they validate the narrative and further bolster market capitalization. ***It is a self-feeding cycle that functions only as long as growth expectations remain intact.*** If the multiple contracts—for example, if semiconductors go from 41.7x GVA to 10x—the stock value plummets. The compensation package loses purchasing power overnight. The company loses its ability to recruit and retain talent. Since salaries represent 72% of GVA in semiconductors, the company is viscerally dependent on these people. A stock market correction very quickly turns into a human resources crisis. There is no buffer. --- ## **III. The Equation that the Market Demands** The 41.7x VAB multiple for semiconductors requires translation: for the current market cap of $5 trillion to make sense, what future earnings need to be discounted? Using approximate data from the US industry: the sector's GVA is approximately $120 billion; after deducting 72% for salaries, the gross operating surplus is approximately $34 billion; the estimated net profit, after depreciation and taxes, is approximately $25 billion (net margin \~21%). **Implied Price/Earnings ratio* is from *5 T / 25 B = 200×*.* A P/E ratio of 200 is not sustainable with moderate growth. Using the Gordon model (perpetual growth) with a discount rate of 10%: > ***P/E = 1 / (r – g) → 200 = 1 / (0,10 – g) → g = 9,5%*** Profits would have to grow by 9.5% **indefinitely** A more realistic two-phase model imposes even more concrete requirements: - Current global net profit (USA + Asia): \~$60 billion - Phase 1 (20 years): 20% annual growth - Phase 2 (terminal): 5% growth - Discount rate: 10% At the end of 20 years, the annual profits would have to be: 60 × (1.20)²⁰ ≈ 2,3 trillion dollars.In two decades, this industry would have to generate profits **38 times superior** to those of today. | Indicator | Current value (2024) | Required Value (2044) | | ------------------------------ | -------------------- | --------------------- | | Global "semis" Revenue | \~0,6 T | \~9,2 T - (×15) | | Global GDP (nominal) | \~105 T | \~190 T - (+3%/year) | | Share of "semis" in global GDP | +0,6% | +4,8% | The isolated percentage wouldn't seem impossible. But semiconductor revenue doesn't exist in a vacuum: it requires downstream industries—AI, cloud, automotive, IoT—to generate even greater added value. Conservatively estimating that every dollar of chip revenue requires three dollars of value generated in the industries that incorporate them, the value chain implied in the current market cap would imply, by 2044, an ecosystem of \~$28 trillion of GVA— approximately 15% of the projected global GDP. ***To put the scale into context: the entire global manufacturing industry today represents \~16% of GDP*.** The financial and insurance sector, \~7%; health and education, \~10%. > **Investors are betting that the "semiconductors + AI + automation" complex will replace and absorb a share of economic activity comparable to that of the entire global manufacturing industry. This requires large-scale Schumpeterian creative destruction: automated administrative and legal services, transport fleets replaced by autonomous vehicles, and entirely robotized production chains with a drastic reduction in the wage component.** The arithmetic may add up—but the political, social, and temporal cost of that equation could become unsustainable for the investors financing it today. --- ## **IV. The Loop and the Black Hole** The metaphor that best captures the dynamics of the industry is not that of a conventional bubble. It is that of a **closed loop** — or, in astrophysical terms, a **black hole with accretion disk,** that is, a region of **extreme gravity** from where nothing escapes, and a spiral of gas and dust that, before being **swallowed,** due to friction, it overheats and emits a **spectacular shine.** The basic circuit is as follows: OpenAI, Microsoft, Google, and Meta need GPUs to train increasingly larger models. These GPUs are almost exclusively from Nvidia, which charges gross margins above 70%. Big Tech companies fund these purchases using existing revenues or investment rounds driven by the promise of future AI. Nvidia’s market cap rises, validating the narrative. Seeing Nvidia’s stock soar, Big Tech companies convince the market that the investment is justified, raise more capital, and buy more GPUs. ***The output of one (GPUs) is the input of the other (models), and the financial validation of one supports that of the other*.** In this circuit, there is no flow of value that ends up in a bakery, a textile factory, or a hospital in a transformative way. Money circulates among the same agents: it is a financial resonance that can be real without the economic radiation being proportional. This loop contrasts with previous major technological leaps.The electrification of the early 20th century brought generators and motors to hundreds of different industries—textiles, steel, railroads—and to domestic consumers. The internet of the 1990s–2000s, despite the dotcom bubble, left fiber infrastructure and tools that were absorbed by millions of SMEs and created new markets. The semiconductor-plus-AI complex concentrates a disproportionate share of investment in a handful of companies that sell to one another and to their own cloud operations. The "spillover" to the rest of the economy is slow, narrow, and mediated by APIs. Never has a technology been simultaneously so central and so enclosed. The black hole metaphor fits in five dimensions: **Event horizon.** The valuations (41.7× GVA) only make sense within the loop itself. An outsider sees a gravitational anomaly. An insider finds a coherent internal logic: each asset appears justified because they all validate one another. The entire system may be overvalued without any single company appearing so. **Accretion of matter.** The loop absorbs capital (investment, liquidity via balance-sheet expansion—a variant of QE), talent (scarce engineers and PhDs), and physical resources (electricity, rare earths, ultrapure water for fabs). The rest of the economy may wither, much like a companion star losing mass to a central object. Total factor productivity data—which have slowed in most developed countries since 2005 despite digital advances—suggest that the loop’s absorption of resources does not translate into broad-based growth. **Internal singularity.** At its center lies the promise of Artificial General Intelligence (AGI). The entire spiral of value converges on a point where AI is supposed to solve every problem and generate infinite profits. For now, this point is a mathematical singularity—unobservable and potentially unattainable. **Spaghettification.** As concentration increases, any disturbance stretches the value chains to their limit.The systemic fragility is enormous because there is no redundancy.A single dominant GPU designer (Nvidia), a single extreme lithography supplier (ASML), a single high-end manufacturer at scale (TSMC). A shock to the weakest link propagates throughout the entire loop. **The accretion disk.** By maintaining low interest rates and injecting liquidity into the system, central banks provide the energy that keeps the disk glowing. With zero or negative real interest rates, investors are forced to seek returns in long-duration assets—quintessentially, tech stocks. This compresses the discount rate and inflates multiples, fueling the loop. Halting the model of managed structural liquidity would mean stripping matter from the disk: the black hole would reveal its dark core. > **The "Magnificent Seven" already account for approximately 30% of the S&P 500\. Their implosion would impact pension funds, insurance companies, and global financial stability. In this sense, the loop is "too big to fail"—not because the state wants to save it, but because it cannot bear the losses that would result from letting it collapse.** --- ## **V. Three Evaporation Scenarios** Given the dynamics described, what are the realistic scenarios for a breakdown? Three are identified—with distinct triggers, sequences, and consequences. ### **Scenario 1 — The Disappearing Singularity (Stagnation of Scaling Laws)** **Trigger.** The next generation of large language models does not deliver disruptive gains in capability. Marginal investment in GPUs no longer yields proportional increases in revenue. Big Tech companies are subtly acknowledging that "AGI via raw scaling" is a mirage. **Sequence.** Demand for GPUs contracts. Nvidia’s revenue stagnates at \~$45 billion (down from the current $60 billion), and its net margin falls to 30% due to competitive pressure—specifically from Google’s proprietary chips, AMD, and specialized startups. Annual profit drops to \~$13.5 billion. Without the narrative of 20% annual growth, the market reprices the stock: a P/E ratio of 25 (still generous for a cyclical sector) implies a market cap of \~$337 billion—an 89% decline from the current $3 trillion. If we project this same multiple contraction across the entire semiconductor sector—where the market cap would retreat from $5 trillion to $350 billion—we see a 93% drop. An engineer earning $300,000 a year—half in stock—sees the value of their compensation package plummet by over 40%. In such a scenario, these professionals can no longer cover their fixed expenses (which can range from $120,000 to $150,000 annually in the Bay Area). The best among them migrate to sectors where cash is king—defense, energy, and traditional finance. The innovation that sustained the cycle withers for lack of talent. Index funds and pension funds, saturated with tech stocks, lose value. The negative wealth effect triggers a consumer recession in the US. The market cap-to-salary ratio—currently 58.1x—aligns with that of the transportation sector: \~2.5x. The stock-as-currency model vanishes. ### **Scenario 2 — Hawking Radiation (External Technological Leap)** **Trigger.** Just as the "bodies" emitted by the loop lose mass until evaporation in Hawking radiation, a radically new architecture—optical computing, third-generation neuromorphic chips, or a breakthrough in quantum computing with commercial applications—renders traditional GPUs obsolete. The holder of the new technology is not Nvidia. **Sequence.** Nvidia loses its monopoly on AI hardware. Its GPUs become commodities relegated to residual tasks, much like mainframes did. Big Tech firms migrate to the new hardware. TSMC and ASML lose relevance and falter because the new paradigm dispenses with EUV lithography. The loop breaks—yet capital shifts to a different corporate constellation, just as energy escapes a black hole via Hawking radiation, particle by particle, until it evaporates. This is the least painful scenario from a systemic perspective. Talent is rapidly absorbed by the new industry, which pays high salaries in its own stock. Central banks can accommodate this transition without triggering an aggregate demand crisis. It is Schumpeterian creative destruction in its purest form—and perhaps the only scenario in which the promises of the "loop" are fulfilled, albeit in different hands. ### **Scenario 3 — The Collapse of the Accretion Disk (Monetary and Energy Choke)** **Trigger.** A geopolitical crisis (such as a blockade of the Taiwan Strait) or persistent inflation driven by supply shocks forces central banks to raise benchmark rates to 4.5–5% and to halt—fully or partially — liquidity injections via balance sheet expansion. This scenario is not without recent historical precedent: the 2022–2023 cycle already provided the template—the Fed raised rates from 0.25% to 5.25% over 16 months (the most aggressive tightening cycle in forty years), and the Nasdaq fell 33% in 2022\. What this scenario adds to the template is a relapse: a new inflationary wave that prevents monetary easing before the "loop" narrative re-emerges, as occurred in 2024–2025. **Sequence.** With US public debt exceeding 120% of GDP, a benchmark rate of 4.5–5% marks the threshold where sovereign debt service begins to structurally compete with any other fiscal priority — leaving the Fed cornered between fighting inflation and avoiding a collapse of public finances. Markets interpret this predicament as an inability to return to the "monetary morphine" of the past; it is this fracture in the narrative — rather than the absolute level of interest rates — that triggers the adjustment. The discount rate implicit in long-duration growth assets, artificially compressed to around 8% during the years of balance-sheet expansion, rises to 10–11%. In a Gordon growth model, the equilibrium P/E ratio for an asset with 5% terminal growth drops from 33x (at 8%) to 17–20x (at 10–11%). For Nvidia, whose valuation premium demands multiples of 35–50x reported earnings, the adjustment is non-linear: it is not a gradual multiple compression but an abrupt re-evaluation of a monopoly premium that no longer finds a buyer at the previous price. Semiconductor market capitalization corrects to $700 billion–$1 trillion—an 80–85% contraction from the current $5 trillion—and the shockwave ripples through the cloud, SaaS, and digital advertising sectors. Companies cannot sustain astronomical payrolls without overvalued stock. Layoffs cease to be isolated "restructuring" events and become structural cuts affecting 20–30% of the workforce. The loss of stock market wealth and rising unemployment among highly skilled workers trigger a contraction in consumption that extends far beyond the tech sector. Central banks' initial reaction will be to cut rates and resume balance-sheet expansion—but confidence in the narrative of eternal expansion has been shattered. "Too big to fail" proves to be "too big to save": the State can avert bankruptcy, but it cannot restore the illusion of exponential profits. The economy is trapped in technological stagflation: low rates sustain "zombie" firms, yet aggregate productivity fails to rise because innovative investment requires optimistic equity—and that has evaporated. The wage share—at 72% of Gross Value Added—once a bastion of strength, has turned into a trap: fixed costs associated with skilled labor render companies rigid and unable to adapt to a slow-growth regime. --- ## VI. The Wide Angle: Systemic Stress and Contagion Mechanisms The technological loop does not exist in a vacuum. The preceding analysis takes on its full significance—and its inherent fragility becomes apparent—only when placed within a framework of interconnected systemic risks. What follows is not a prediction of collapse; the likelihood of all these events occurring simultaneously is, in fact, low. Rather, it is a mapping of contagion mechanisms, for a multidisciplinary perspective is the only antidote to the blindness of purely financial models, which treat these risks as "exogenous" even though they are part of the same complex system. ### Physical-Material Axis: Supply Chains, Geopolitics, and Climate The loop is anchored to a nearly unique physical node. TSMC manufactures over 90% of advanced chips. EUV lithography machines come from ASML (Netherlands), featuring German optical components and rare gases whose production was concentrated in Ukraine prior to 2022\. The design is American. Packaging is distributed across Asia. This concentration map is not a given—it is a structural vulnerability that any valuation analysis should factor in. Periodic supply chain disruptions are not hypothetical; they are structural. A naval blockade of the Taiwan Strait—not necessarily an invasion, but a quarantine operation—could halt chip supplies for months without a single shot being fired. Climate stress amplifies this fragility: droughts in Taiwan affect the availability of ultrapure water for fabrication plants; floods in Malaysia, a hub for chip packaging, delay production; and heatwaves in industrial Europe disrupt the precision equipment supply chain. Instability in Russia—a supplier of palladium, nickel, and neon gas for the electronics industry—adds a layer of risk that models rarely quantify. A disintegrating Russia presents more than just a humanitarian crisis; it represents a supply shock for critical raw materials and, ultimately, a proliferation risk that could consume the diplomatic attention and budgetary resources of Western powers for a generation. The mechanism of contagion within this loop is direct: a physical shortage of GPUs squeezes Nvidia’s profits even as prices rise; Big Tech firms see their model-training schedules delayed; and the promise of achieving AGI through scale suffers a credibility blow. The resulting repricing is not merely financial—it is ontological, challenging the narrative of exponential progress that underpins the company's 200x P/E multiple. Economic geopolitics weaponizes these vulnerabilities. By imposing export controls on advanced semiconductors bound for China, the U.S. incentivizes Beijing to develop domestic capacity at any cost—a path Beijing is pursuing by pouring hundreds of billions in subsidies into its local industry, simultaneously accumulating debt and banking-sector fragility. In response, China could restrict exports of rare earth elements and gallium, materials upon which the Western value chain relies. The result is a [weaponized economic geopolitics](https://atopicosphere.ghost.io/en/articles/economic-terrorism-and-suzerain-powers/) that transforms interdependence into a state of mutual—albeit precarious—vulnerability. ### **Financial-Monetary Axis: Currency Wars, Debt, and the QE Trap** This loop exists because the cost of capital is artificially low. This state of affairs is no accident—it is the result of decades of expansionary monetary policies and a latent currency war among major economies. The US, the Eurozone, Japan, and China compete indirectly for currency advantages. A strong dollar stifles emerging markets and commodities, while a weak dollar fuels domestic inflation. China, facing a slowing economy and an unresolved real estate bubble, has structural incentives to devalue the yuan and export deflation. The Bank of Japan, in attempting to normalize interest rates after decades of financial restraint, risks imploding the global carry trade—a glimpse of this dynamic was seen in August 2024. US debt (exceeding $34 trillion) means that high interest rates are unsustainable in the medium term: debt service would consume an ever-larger share of tax revenue. Investors know the Fed will eventually blink. This implicit "Fed put" is what keeps semiconductor valuation multiples high—because the discount rate, the denominator in the valuation equation, remains artificially low. Yet, if inflation reignites due to supply shocks—whether climatic, energy-related, or geopolitical—the Fed finds itself cornered: it cannot lower rates without losing control of inflation, nor can it keep them high without causing the loop to collapse and exacerbating the sovereign debt burden. It is a classic Minsky moment—stability has bred instability. > **The escalating public debt of the two superpowers acts as a second-order amplifier: it reduces the fiscal space available to respond to future crises, whether climatic, social, or military. When the next major crisis arrives—and history suggests it will—the two economies best positioned to cushion the blow will both, simultaneously, find their capacity to respond constrained.** ### Axis of Unmanaged and Unsustainable Creative Destruction #### Schumpeter's Paradox Joseph Schumpeter conceived of creative destruction as the engine of capitalism: old structures are dismantled to free up the resources that finance new ones. The implicit premise is that the system possesses absorptive capacity—that the time between destruction and reconstruction is long enough for institutions, workers, and regions to reorganize. The electrification of the early 20th century took forty years to transform the productive structure of Western economies. The computerization of the 1970s through the 1990s took thirty. During these intervals, there was room for collective bargaining, workforce retraining, the redesign of social protection systems, and regulatory adaptation. The destruction was real—and painful—but it unfolded on a timescale that political systems could manage. What the current technological loop introduces is a form of creative destruction with two new properties that, combined, render the process qualitatively different from all previous ones: it is unmanaged and unsustainable. These are not merely rhetorical adjectives; they are analytical theses with verifiable dimensions. #### First Dimension: The Speed ​​that Destroys Absorption Historical cycles of creative destruction used to play out over decades. Large-scale language models are compressing the timeframe for the displacement of entire professional categories to just three to seven years. Parallels with the past are misleading: when agricultural mechanization displaced rural labor in 19th- and early 20th-century Europe, the textile industry and the railways absorbed that workforce over the course of a generation. When industrial robotization displaced factory workers between the 1980s and 2000s, the service sector—including the very Philippine contact centers mentioned in the introduction—absorbed a significant portion of that displaced labor. The current problem is that AI is not merely displacing manual or routine labor; it is simultaneously displacing administrative work, low- and mid-level creative work, analysis and synthesis tasks, and service and mediation roles. In developed countries, these categories account for between 40% and 60% of total employment. There is no replacement sector with the capacity to absorb workers at the necessary scale and speed. The promise that "new jobs will emerge" is historically true in the long run—yet politically useless in the medium term, which is the horizon where democracies govern and people organize their lives. The issue of speed is even more acute in developing countries, where the historical absorption of displaced labor depended precisely on the global service and manufacturing chains that AI is now replacing. > **The Filipino contact center worker has no "next industry" waiting for him. The chip-packaging worker in Penang who loses her job to automation will not find a textile industry available—that sector was already automated in the previous round.** #### Second Dimension: Energy Unsustainability The digital transition and the climate transition share the same timeframe of urgency — 2030–2035 for critical decarbonization targets — and are in direct conflict over physical resources.This conflict is not temporary: it is structural. Global electricity consumption by data centers stood at approximately 200 TWh in 2022\. IEA projections for 2026 place the figure between 300 and 400 TWh—representing growth of 50% to 100% in four years—just to maintain existing AI infrastructure, excluding the expansion of next-generation models. To put this in perspective: 400 TWh is equivalent to the combined annual electricity consumption of Portugal, Greece, and Hungary. This additional energy volume will need to be supplied during a period when the power grids of advanced economies are already under strain from the electrification of transport and home heating and cooling systems. The market's response has been paradoxical: Big Tech companies are signing long-term contracts with nuclear power plants—Microsoft with Three Mile Island, Google with Kairos Power, Amazon with X-Energy—and keeping natural gas plants running that should be undergoing decommissioning. > **The narrative of the green energy transition—funded in part by capital flowing into the loop—is, in practice, subsidizing an extension of the lifespan of the baseline fossil fuels needed to power the loop itself. It is a contradiction that the sustainability reports of these same companies do not resolve—they merely embellish it.** There is a second vector of energy unsustainability operating on a global scale: the competition for electricity generation capacity between data centers and domestic electrification in emerging economies. In countries where grid access is not yet universal—such as parts of sub-Saharan Africa and South and Southeast Asia—the installation of local data centers or transmission lines for energy export fuels a logic of digital and energy extraction that replicates the colonial pattern of the 19th and 20th centuries: physical resources (in this case, energy and land) flow to serve the accumulation of the centers, rather than the development of the peripheries. #### Third Dimension: Material Unsustainability The hardware underpinning the loop—GPUs, servers, fiber-optic cables, memory—is physically composed of materials whose current extraction regimes are incompatible with the scale required by today's market valuations. Cobalt—essential for the batteries powering the edge computing devices at the base of the AI ​​pyramid—comes primarily (over 70%) from the DRC, where the potential to expand artisanal mining is nearing physical limits and origin certification mechanisms are systematically bypassed. The production of gallium and germanium—critical for gallium arsenide semiconductors and high-speed fiber optics—is concentrated in China, a country that demonstrated its willingness to "weaponize" these materials in 2023 in response to US export controls. Meanwhile, the refining chains for neodymium and praseodymium—needed for data center cooling system motors—are almost entirely controlled by Beijing. None of these constraints is insurmountable in the long run: innovation in alternative materials and the opening of new mines could redistribute supply. However, markets are valuing Nvidia at a price-to-earnings (P/E) multiple of 200x based on a two-to-five-year horizon—and within that timeframe, material constraints are rigid. > **The arithmetic of the loop presupposes a physical supply chain that does not exist at the necessary scale and cannot be built within the timeframe implied by current valuations; therefore, as I stated earlier, current extraction regimes are incompatible with the scale demanded by market valuations.** #### Fourth Dimension: Fiscal and Redistributive Unsustainability Managed creative destruction—whether in the Scandinavian version of 20th-century capitalism or the American New Deal—presupposes a State with the fiscal capacity to finance the transition: retraining subsidies, expanded safety nets, and public investment in replacement infrastructure. The current problem is that the fiscal capacity needed to manage the transition has been systematically eroded by the very companies that make it necessary. Big Tech companies construct their international tax structures with a level of sophistication that turns tax avoidance into an art form: intellectual property transferred to low-tax jurisdictions (Ireland, the Netherlands, Singapore), royalty flows that run counter to the direction of profits, and revenue transfer mechanisms that drain the tax base from the jurisdictions where value is actually generated and consumed. Alphabet, Meta, and Microsoft consistently pay effective tax rates on consolidated profits of between 10% and 16%—half the US nominal rate and a fraction of the effective rate paid by a mid-sized company lacking an international tax structure. The surplus revenue the state ought to capture to fund the transition these companies are driving is unavailable; instead, it has been diverted back into the corporate loop through share buybacks and dividends that inflate market capitalization. This represents a second-order form of unsustainability: the process that places the greatest demands on the State is the one that contributes least to funding it. The consequence is that the transition will tend to be managed by those with the fewest resources to carry it out—indebted nation-states, local authorities, and social security systems already facing demographic pressure.. #### The Fifth Dimension: Polanyi's Double Movement In *The Great Transformation* (1944), Karl Polanyi described the *"double movement"* of industrial capitalism: whenever the market advances rapidly and without regulation into society, society reacts—through political movements, regulation, protectionism, or democratic breakdown. The market's encroachment upon labor, land, and money in the 19th century triggered, in response, labor movements, the welfare state, the protectionism of the 1930s, and—in extreme cases—fascism and Stalinism. Not as an inevitability, but as a structural possibility that materializes when the pace of disruption outstrips the adaptive capacity of institutions. The current loop replicates the structure of the problem Polanyi dissected, with three differences that make it harder to manage politically. *First*: the scale is global, yet the institutions for responding are national—there is no international equivalent to the Bismarckian welfare state or Roosevelt’s New Deal. *Second*: the speed of disruption is greater by at least an order of magnitude—what took decades in the 19th century takes years today. *Third*: the actors capturing the value from the loop possess a degree of geographic and fiscal mobility that 19th-century industrialists lacked—they can relocate capital, profits, and headquarters in a matter of days, rendering a national redistributive response structurally ineffective. The "*double movement"* is already underway. The anti-technological and anti-globalization populism that manifests itself electorally in Europe and the US is, in part, a societal reaction to unmanaged disruption. > **The problem is that the dominant policy response—protectionism, immigration restrictions, and disinvestment in multilateralism—fails to address the root causes of the issue. Instead, it targets the very safety valves that partially mitigated it: the mobility of skilled labor, trade chains that distributed some growth, and international coordination mechanisms that enabled collective responses.** In this cycle, the "double movement" is destroying the instruments that made creative destruction bearable—without replacing them with anything. #### **The Missing Institution** Managed and sustainable creative destruction would require, at a minimum: a global minimum tax base on technology profits to fund sovereign transition funds; compensation mechanisms for countries that supply physical resources, labor, and data to the "loop" value chain without sharing in the value generated; international AI governance capable of enforcing implementation paces compatible with the speed at which employment systems can adapt; and a revision of intellectual property agreements to allow states to access—without prohibitive royalties—the technologies needed to transform their productive sectors. None of these institutions exists. The 15% global minimum tax agreed upon by the OECD in 2021 is a symbolic step—the effective tax rate for Big Tech companies is already, in many cases, above that threshold following tax restructuring. UNESCO and the ITU issue recommendations on AI governance that no player with market power is obliged to follow. The WTO has been paralyzed since 2019\. The G20 produces communiqués, not binding policies. What exists, in place of the necessary institutions, is the promise that AI itself will solve the problems AI creates—that the productivity generated by the loop will fund the retraining that the loop makes necessary. > **It is a promise structurally identical to the one 19th-century industrial capitalism made regarding "progress": true in the sufficiently long run, yet politically irrelevant within the timeframe in which people live, vote, and rebel.** ### **The Three Feedback Loops** A multidisciplinary perspective reveals three dangerous feedback loops that connect the loop to external stress layers: **Circuit 1: geopolitics → supply chain → inflation → interest rates → multiple implosion → sovereign debt crisis.** A crisis in Taiwan cuts off chip supplies. Inflation rises. The Fed raises interest rates. The market caps of Nvidia and Microsoft plummet. U.S. pension funds, heavily exposed to tech stocks, lose value. The U.S. government intervenes with guarantees or bailouts, issuing more debt. The dollar weakens. China diversifies its reserves. The currency war escalates. **Circuit 2: climate → energy instability → stagflation → compression of the multiple.** Consecutive climate shocks—droughts at the Panama Canal, storms in the Red Sea, heatwaves in industrial Europe—are persistently driving up energy and transport costs. Structural inflation forces central banks around the world to choose between fighting inflation (killing the cycle) or letting it run (destroying the middle class). A Russia weakened by declining hydrocarbon revenues and internal ethnic tensions is becoming unpredictable, adding energy supply shocks at a time when Europe no longer has any margin for maneuver. **Circuit 3: Concentration of capital → disinvestment in resilience → more intense shocks → discrediting of the progress narrative → escape from the loop.** The more capital flows into GPUs and models, the less goes toward dams, power grids, schools, hospitals, and public transport. In practice, the economy becomes less resilient to physical disruptions. When shocks hit, the inability to respond is greater and more visible. The loop is revealed for what it has always been: a wager of surplus capital seeking returns in an environment of financial constraint, rather than a broad-based productivity revolution. --- ## Conclusion The analysis developed here **does not culminate in a prediction of collapse*.* The probability of all the described factors occurring simultaneously is indeed low—***but it is not zero, and, more importantly, these events are not statistically independent***. They are linked by an architecture of hyperconnectivity that makes them conditionally probable. It takes only one of them crossing a critical threshold—a naval blockade, a sustained interest rate hike, a stagnation of scaling laws—for the others to become far more likely. It is this non-linearity that conventional financial models systematically ignore, classifying these risks as "exogenous" when they are, in fact, part of the same system.. The most likely scenario—and perhaps the most perverse—is a ***long, painful financial and technological recession***: the loop never fully delivers on its promises, yet never cleanly collapses either. It languishes, squeezed between physics (supply chain and model-scaling limits), geopolitics (technological and monetary fragmentation), and demographics (talent shortages and the aging of the economies that drive digital consumption). Central banks keep the patient alive with increasing doses of monetary morphine, at the cost of increasingly distorted capital allocation and stagnant total productivity. > **The Nvidia-AI loop is not suspended in a dome. It is a house of cards in the middle of a table where geopolitical poker, climate roulette, and monetary chess are being played simultaneously.** What is at stake is not merely whether Nvidia is worth $5 trillion or $50 trillion, but whether the model of capital accumulation and technological promises can survive in a world that has become viscerally multipolar and turbulent, and is—and always has been—physically finite. Taking the wide-angle view is not an exercise in pessimism; it is a methodological imperative. An analysis that treats the loop as an isolated market object—immune to physics and geopolitics—is not analysis; it is propaganda. --- ### **Methodological note:** ¹ Market capitalization figures refer to the leading US-listed companies in each sector (mid-2024): Nvidia, Broadcom, AMD, and Intel for semiconductors; Alphabet, Meta, Microsoft (partially), and Netflix for internet/software; Eli Lilly, Pfizer, and Merck for pharmaceuticals; ExxonMobil, Chevron, and NextEra for energy; ADM, Coca-Cola, PepsiCo, and Tyson for agri-food; UPS, Union Pacific, and Delta for transportation. Gross Value Added (GVA) and wage figures are derived from the Bureau of Economic Analysis (US, 2022, current prices), using the corresponding NAICS codes (3344 for semiconductors; 519+5112+5415 for internet/software; 3254 for pharmaceuticals; 211+324+22 for energy; 11+311+312 for agri-food; 48-49 for transportation). All figures are rounded. ---