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Business
IMF warns AI slowdown could leave 22% of assets with 110 vulnerable lenders
✍️ The Economic Times
🗓 14 Oct 2026, 03:16 AM
👁 10
The International Monetary Fund cautioned that a collapse in the AI boom could see 22% of global assets concentrated in 110 financially weak lenders.
The International Monetary Fund (IMF) has highlighted a potential systemic risk linked to a sudden slowdown in the artificial intelligence (AI) sector. In its latest assessment, the fund warned that if the AI boom were to bust, roughly 22% of assets could become concentrated in a group of about 110 lenders that are deemed financially weak.
These lenders, identified by the IMF as having limited capacity to absorb shocks, could face heightened stress should AI‑related investments falter. The fund’s analysis underscores the interconnectedness of the fast‑growing AI industry with broader credit markets.
While the IMF did not provide detailed country‑level breakdowns, the warning signals that policymakers and regulators may need to monitor credit exposure to AI‑driven ventures closely, to mitigate spill‑over effects on the financial system.
The observation comes amid rapid expansion of AI technologies across sectors, prompting concerns that an abrupt correction could reverberate through banks and non‑bank financial institutions that have extended credit to AI firms.
The IMF’s note serves as a precautionary reminder that the pace of AI investment should be matched with robust risk‑management frameworks to avoid concentration of assets in vulnerable lenders.
These lenders, identified by the IMF as having limited capacity to absorb shocks, could face heightened stress should AI‑related investments falter. The fund’s analysis underscores the interconnectedness of the fast‑growing AI industry with broader credit markets.
While the IMF did not provide detailed country‑level breakdowns, the warning signals that policymakers and regulators may need to monitor credit exposure to AI‑driven ventures closely, to mitigate spill‑over effects on the financial system.
The observation comes amid rapid expansion of AI technologies across sectors, prompting concerns that an abrupt correction could reverberate through banks and non‑bank financial institutions that have extended credit to AI firms.
The IMF’s note serves as a precautionary reminder that the pace of AI investment should be matched with robust risk‑management frameworks to avoid concentration of assets in vulnerable lenders.