BIS Flags AI-Driven Bust Risks Across Growth and Credit
The Bank for International Settlements warns that an AI-driven growth cycle could give way to a bust with ripple effects across the real economy and financial markets. The warning emphasizes that rapid advances in artificial intelligence are tightly linked to credit dynamics, asset valuations, and macroeconomic stability.
According to BIS analysis, the expansion phase of AI adoption may spur productivity gains and new financing activity. But the same dynamics can become procyclical: buoyant lending and investment may inflate expectations, lift asset prices, and encourage risk-taking. If the AI boom falters or if the pace of deployment outstrips practical gains, a reversal could dampen demand, tighten financial conditions, and slow growth beyond the tech sector.
The BIS argues that AI-related investment cycles can feed through to credit conditions, with lenders reassessing exposures and appetite for risk when AI valuations falter.
What could this mean for markets and policy-makers? The BIS points to several channels where a bust could travel:
- Growth channel: AI-enabled improvements in productivity may slow after a burst period, affecting overall output and employment if productivity gains fail to translate into sustainable demand.
- Credit channel: Banks and nonbank lenders may reassess AI-related loans, tightening lending standards or requiring higher collateral, which could curtail investment across sectors reliant on AI adoption.
- Financial stability tools: Regulators may need to intensify monitoring of AI exposures, run stress tests that include technology-driven risk scenarios, and ensure adequate capital and liquidity buffers.
- Policy response: Macroprudential measures, disclosures on AI investments, and cross-border collaboration could help dampen the risk of abrupt shifts in credit and asset prices.
Market participants and policymakers alike should watch for early warning signals—shifts in lending standards, changes in AI company valuations, and evolving risk models that incorporate AI-related exposures. The BIS underscores that while AI promises substantial gains, the financial system's resilience will depend on how transitions are managed, how risk is measured, and how quickly lenders can adapt to changing conditions.
In sum, AI's growth and its potential bust are not isolated to the tech sector. They can propagate through growth, credit, and broader financial stability. A proactive stance from regulators, lenders, and corporate treasuries will be critical as AI deployment continues to scale globally.