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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.…

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Prospective Trajectory of SpaceX as an Infrastructure

SpaceX is not a blockchain protocol, a crypto cloud, a native DePIN network, or an on-chain payment processor as of August 10, 2026. It is a physical infrastructure platform (launch, Starlink LEO constellation, emerging terrestrial/orbital AI clusters) whose systemic externalities make it the most credible physical layer zero for the decentralized economy, orbital data, resilient…

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Micron (MU) Dynamics, Memory Sector Supercycle and AI Infrastructure

https://www.steelldy-indices.com The semiconductor memory industry (MU/Samsung/SK Hynix oligopoly controlling >95% of DRAM/HBM) is in a structural supercycle driven by AI data center demand (hyperscalers investing over $300 billion by 2026). Unlike past cycles (2001, 2008, 2013) dominated by PCs and smartphones, current demand is nonlinear, scaling with LLM size and dataset complexity. Sunk costs from…

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The Super-Cycle of Energy Transition and AI Metals

1. Demand Megatrends FTSE Russell identifies two megatrends: AI and the energy transition. We quantify them as follows: A. AI Infrastructure: The five hyperscalers (Amazon, Microsoft, Google, Meta, Apple) invested $320 billion in H1 2026, in line with an annual projection of $650 billion. Each 100 MW data center requires approximately 30,000 tons of…

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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…

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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…

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Morgan Stanley Warning: The U.S. Could Face a Major Power Shortage by 2028

Morgan Stanley warns that accelerating global AI adoption is fueling an unprecedented demand for electricity, potentially leading to a 20% U.S. power shortfall by 2028 if supply doesn't match the exponential growth. Massive U.S. data centers, driven by major tech investments exceeding $400 billion by companies like Microsoft, Google, Amazon, and Meta for compute capacity…

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Compétitivité économique de l’Union Européenne face à la transition énergétique accélérée (2025-2040)

L'analyse des données de l'AIE (2025-2027) indique que l'Europe traverse une refonte structurelle de son coût du capital, plutôt qu'un déclin inéluctable. L'UE est engagée dans une transition "à haute volatilité", marquée par la réduction rapide des combustibles fossiles (Gaz : -6,1 % CAGR, Charbon : -8,8 % CAGR) et une dépendance croissante aux énergies…

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