BIS Warns Debt-Fueled AI Spending Could Threaten Financial Stability

The artificial-intelligence investment boom is reshaping both sides of the global economy. Spending on data centers, advanced chips and cloud infrastructure is lifting demand, trade and asset prices, while eventual productivity gains could expand supply and restrain inflation. The Bank for International Settlements said those forces differ in timing and across countries, obscuring conventional signals such as economic slack, the natural interest rate and underlying price pressure. That uncertainty matters because central banks set policy against estimates that cannot be observed directly.

In BIS Bulletin No. 130, published July 28, 2026, the institution said data-center and related IT investment had risen to 0.8% of GDP in the United States and more than 1% in Australia. Industry estimates put global AI-related investment at about $500 billion today, potentially reaching $3 trillion to $4 trillion by 2030. The BIS warned that overestimating supply gains or underestimating demand could leave policy too loose, while the opposite error could produce unnecessarily restrictive conditions; it favored a gradual, data-dependent approach.

The Bank for International Settlements is a key forum for central-bank cooperation and the preservation of financial stability. With global public debt near historic highs and inflation still at risk of recurring, the AI boom is supporting investment and growth but also linking risks across technology companies, private credit and sovereign debt markets. A valuation correction could spill over into the real economy.

The BIS released its 2026 Annual Economic Report on June 28, 2026, saying the five largest hyperscalers were expected to spend more than $1 trillion on AI capital expenditure in 2025–2026. Since 2022, advanced economies have recorded an average cyclically adjusted primary deficit equal to 1.9% of GDP. Debt financing and opaque circular transactions could amplify a market reversal.

Artificial intelligence is moving deeper into trading, lending, payments and bank cybersecurity, bringing efficiency gains alongside new systemic risks. Similar models used across institutions could produce herd behavior, amplify market swings and create common points of failure, while reliance on a small group of technology providers may deepen concentration risk. European Central Bank President Christine Lagarde has warned that uncontrolled or malicious use of AI could turn a technological shock into a financial crisis that destroys jobs and household savings.

Lagarde said at the Cotec Europa summit in Venice, according to a June 17, 2026 report, that the ECB had subjected 109 banks to a severe cyberattack scenario and that most weaknesses identified had been fixed. She called for a global AI governance framework modeled on the Nuclear Non-Proliferation Treaty. AI remained a central theme at the ECB’s annual forum on June 30, where officials urged scenario analysis, stress testing and international coordination as autonomous systems take a larger role in finance.