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

    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 borrowing will reach $400 billion in 2026, up from $165 billion in 2025

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

    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
  • 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
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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