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An AI market correction is becoming a global credit risk
Fitch Ratings says vulnerability to an AI-related market correction is now one of the two short-term risks dominating the global credit outlook. It points to valuations near dot-com-era levels, a 26% rise in U.S. corporate bond issuance in the first half of 2026, and capital spending projected at $700 billion this year across Alphabet, Amazon, Meta, and Microsoft. Fitch is warning about exposure, not predicting an imminent crash: AI investment now supports growth, markets, borrowing, and household wealth deeply enough that a prolonged selloff could spread into the wider economy.
AI’s financial footprint is now large enough that uncertainty about future returns can propagate through corporate debt, equity wealth, infrastructure investment, employment, and national growth.
Why it matters
Fitch says six AI-linked companies issued $182 billion of investment-grade bonds, while booming information-technology investment directly added an estimated 1.4 percentage points to first-quarter U.S. growth. That strength is also the transmission channel: a sharp repricing could weaken capital spending, credit conditions, household wealth, suppliers, and economies tied to the buildout.
This is a risk scenario, not evidence that a correction must happen. The practical response is to test revenue assumptions, debt-service capacity, refinancing needs, counterparty concentration, construction commitments, and exposure to projects whose economics depend on sustained demand for expensive computing.
Primary trail
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