The October Global Financial Stability Report, released October 13 at the IMF and World Bank meetings in Bangkok, counts 14 public deals since 2023 in which hyperscalers put about $300 billion of equity into weaker AI firms. Another $650 billion of debt supports them, in exchange for $1.4 trillion of future revenue commitments through services or chip orders. About $320 billion of that debt sits with the investees. Hyperscalers now account for 10% of global investment-grade bond issuance, up from under 1% since 2024, and single stocks make up 28% of leveraged ETFs, up from 16%. The IMF suggests curbs on equity margin financing, limits on leveraged ETFs and concentration limits. It also flags cyber risk, saying software vendors had almost no time to patch in over 70% of 2026 cases before exploitation began. For AI founders, the report shows that regulators now treat vendor financing and compute pre-commitments as a systemic risk. Startups whose growth depends on a hyperscaler investor that is also the customer should expect tougher diligence.