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Quantitative modeling assesses AI infrastructure risks

Quantitative modeling assesses AI infrastructure risks through several methods. A Monte Carlo simulation of 100,000 trajectories over 24 months, using expansion and disillusionment drifts of 15% and −25%, volatilities of 20% and 45%, a monthly jump probability of 3%, and normally distributed jumps with mean −35% and standard deviation 10%, yields cumulative losses at the…
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lntélligence artificielle

The AI Funding Race: How Global Savings Are Powering America’s Tech Boom

The restructuring of the global economy to finance the AI capital shortfall rests on recycling Asian savings, mobilizing new investors, and transforming cash flows into investable assets. First, the AI boom generates liquidity in South Korea and Taiwan, part of which flows into dollar-denominated assets and indirectly supports investment by US hyperscalers. Taiwan’s current…
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lntélligence artificielle

AI, semiconductors, robotics & biotech: the most capital-intensive investment cycle in history

AI capex has become an infrastructure cycle of utility-like scale , comparable to railroads or the electrical grid , with a readable value chain: semiconductors (the cluster of megacaps that the market now groups under acronyms like "MANBRIC": Microsoft, Apple, Nvidia, Broadcom, and others), data centers, energy, and now physical robotics. Biotech remains the pocket…
09/28/20260Comments

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lntélligence artificielle

How Circular Financing in AI Creates Hidden Risks Beneath a Boom

Circular financing in the AI sector refers to a tightly interlinked system of equity investments, compute commitments, guarantees, and off-balance-sheet structures among chipmakers, hyperscalers, AI labs, and data-center operators. Money and obligations circulate among a small group of counterparties, accelerating infrastructure buildout while amplifying downside risks if end-user monetization falls short. How It Works.…
08/21/20260Comments

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lntélligence artificielle Tech

Copper-to-optics transition, commoditization of AI interconnects, quantitative analysis of Corning, Coherent, Lumentum drivers

www.steelldy-indices.com This study analyzes the evolution of the fiber optics industry in the context of the explosion of data centers for artificial intelligence, covering the period 2026-2031. The central thesis we defend is as follows: the transition from copper to optics in data center infrastructure is an irreversible structural trend, based on fundamental physical constraints…
07/07/20260Comments

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Digitalisation

Chipflation: How AI is Reshaping Global Economics and Investment Landscapes

Abstract The emergence of artificial intelligence as a transformative economic force has catalyzed an unprecedented surge in demand for semiconductor components, creating a phenomenon economists are beginning to term "chipflation." This technical analysis examines the multifaceted impact of AI-driven chip demand on global inflation, market dynamics, and investment opportunities across the semiconductor ecosystem. Through quantitative…
05/15/20260Comments

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