MBA Training Finance

AI concentration risk: what it does to bank NPL ratios

MBA Training Finance

Show Notes

KKR's co-CEO flagged overcrowding in AI-related lending, and the question here is whether bank credit dashboards can see it. The position: they cannot. Cost of risk at 30 to 40 basis points and a eurozone NPL ratio near 1.9 percent describe 2023 to 2025 default behaviour, not what happens if AI capital spending disappoints. Coverage ratios only cushion loans already flagged, and IFRS 9 staging models watch borrowers one at a time.

You come away knowing how to read cost of risk, NPL ratio, coverage ratio and Stage 1 to Stage 2 migration together, how to treat Moody's and S&P AI-exposure estimates, and how to build a correlated AI capex stress overlay.

0:00 KKR's AI concentration warning explained 0:46 Why cost of risk looks suspiciously calm 1:27 Eurozone NPL ratio as lagging indicator 2:06 Coverage ratio and rating agency AI data 2:51 IFRS 9 staging misses correlated exposure 4:17 Running one correlated AI stress scenario

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