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Source document· February 14, 2026

AI Bubble Fears Are Creating New Derivatives

View original at finance.yahoo.com
AI Bubble Fears Are Creating New Derivatives Photographer: Kyle Grillot/Bloomberg (Bloomberg) -- Debt investors are worried that the biggest tech companies will keep borrowing until it hurts in the battle to develop the most powerful artificial intelligence…
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  • Expected distribution periods of three months for loans on data center and AI projects could grow to nine to 12 months, leading banks to hedge distribution risk in the CDS market

    80% confidence
  • The sheer amount of potential debt suggests that hyperscaler companies' credit risk profiles could come under some pressure

    80% confidence
  • Appetite for newer basket hedges can be expected to grow, and more active trading of private credit will create additional demand for targeted hedges

    80% confidence
  • Capital expenditures will reach as much as $185 billion in 2026 to finance AI build-out

    80% confidence
  • Credit markets haven't fully priced in AI disruption risk, and any trouble in corporate debt could make it harder for firms to raise money

    80% confidence
  • Hyperscaler borrowing will reach $400 billion in 2026, up from $165 billion in 2025

    80% confidence
  • The software and technology sectors pose one of the all-time great concentration risks to the speculative-grade credit market

    80% confidence
  • In a tail risk scenario, big companies with strong balance sheets and trillion dollar market caps will outperform the general credit backdrop, which is why hedge funds are willing to sell protection

    80% confidence
  • Hyperscaler investments are so ginormous that it begs the question of whether investors want to be nakedly exposed, and credit derivatives indexes offering broad default protection aren't enough

    80% confidence
What we know · the intelligence behind this page
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What we're seeing
AI Capital Boom Meets Valuation Jitters: Funding Surges While Bellwether Stocks Wobble
A dense wave of AI-sector funding (Socure, Stability AI, Emerald AI, Generalist AI, Gatik, Regent Craft and others closing rounds on the same day) and strong enterprise-automation earnings (UiPath raising full-year guidance) point to continued heavy capital deployment into AI infrastructure, fintech-adjacent AI, and agentic automation. Yet Palantir's stock fell even after winning the Army's high-profile TITAN contract, and commentary (e.g., the Alphabet bull case citing AI capex and regulatory risk) signals growing investor unease about whether current AI valuations and spending levels are sustainable.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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