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Key developments: Industry leaders are warning that the biggest constraint on AI expansion is capital, not hardware. Broadcom and Intel CEOs emphasized that "capital, not chips, is AI's bottleneck," highlighting financing as the new limiting factor. Companies are scrambling for funding, with banks still courting $38 billion of Oracle AI data‑center debt and Microsoft committing to pay Anthropic over $2 billion annually for Copilot models.
Why it matters: The IMF’s October 2026 Global Financial Stability Report flagged an AI‑driven market correction as a top near‑term risk, noting 14 hyperscaler‑led deals since 2023 have amassed roughly $300 billion in equity and $650 billion in debt to secure $1.4 trillion of future revenue. The report warns that a correction could shave up to 0.4 % off global GDP by 2028, with Asia most exposed. The surge in debt‑financed AI projects therefore poses systemic financial risks.
What to watch next: Watch for further debt issuance tied to AI data‑center build‑outs, especially large‑scale financing rounds like the ongoing $38 billion Oracle AI debt search. Monitor how major spenders such as Microsoft negotiate long‑term model‑licensing fees with firms like Anthropic, and track IMF updates for signs of tightening credit conditions that could trigger the predicted correction. [[1, 2]]