The Loop and the Black Hole V

Semiconductors, AI, and the Arithmetic of Exuberance

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.