Thesis. The 2026 AI cycle shifts from conversational models to "digital workers" (agents) and physical AI (robots, driving, inspection); value migrates from the model layer to operational integration and automated real assets, converging directly with smart cities and tokenizable infrastructure. Key Data. ~71% of companies are expected to integrate AI agents into key functions…
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Toute l'actualité du monde de l'IA en France et dans le monde (acteurs, langages, innovations, start-up, levée de fonds, règlementation). Vidéos, analyses, commentaires et interviews
AI will lead to mass dumbing down of society. This is one of the most underestimated risks of AI transformation. The process of societal dumbing down was already rapid before LLMs, but now it could accelerate exponentially. Not progress, but degradation of society will speed up. This involves the gradual destruction of the very mechanism…
Contagion in AI financing cannot be understood through valuation levels or even growth rates. It must be understood through the dependency structure of counterparties and the second derivative of infrastructure spending.
Our cross-analysis shows:
¤ The central risk is not the disappearance of AI demand, but the existence of a correlation of one…
Private credit funds face significant 2026 risks from two AI-related channels: disruption to software borrowers and demand shortfalls in AI infrastructure. These are compounded by liquidity mismatches, sector concentration, and ties to insurers and pensions. Non-bank direct lending, via vehicles like BDCs, has heavily expanded into both areas, heightening vulnerability.
Two Primary AI-Related Risk…
They allow hyperscalers to expand capacity rapidly while keeping the bulk of associated debt off their consolidated balance sheets, converting what would be large capital expenditures into multi-year operating leases or offtake commitments. This creates meaningful “shadow” leverage and interconnected risks.
How the Structures Typically Work
A dedicated vehicle (SPV, joint venture, or variable…
EXECUTIVE SUMMARY. QUANTITATIVE FINANCE
Contagion in AI financing cannot be understood through valuation levels or even growth rates. It is grasped through the counterparty dependency structure and the second derivative of infrastructure spending.
Our cross-analysis shows:
¤ The central risk is not the disappearance of AI demand, but the existence of a…
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.…
AI bubble risks are elevated as of mid-to-late 2026, driven by an unprecedented capital expenditure boom outpacing near-term monetization, high valuations, circular financing, and competitive pressure from low-cost Chinese open models. Official warnings from institutions like the Bank for International Settlements highlight parallels to historical overinvestment cycles, while real technological progress and strong current revenues…
The three initial theses are maintained, but with increased robustness:
Quality of Big Tech Profits: The non-economic share of the aggregate net profit of the five largest tech companies is estimated at 42% in the central scenario (range 35–52%), instead of the single point estimate of 48%. The revision accounts for the sensitivity of…
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…