Financial Stability Risks are Increasing in Artificial Intelligence Investments

Speaking at a conference organized by the Reserve Bank of India, Hernandez de Cos warned against financial stability risks, stating that the artificial intelligence boom is being financed through debt and private credit rather than corporate earnings.

Structure of AI Financing

It was noted that the artificial intelligence boom is increasingly being financed through debt and private credit rather than corporate earnings.

It was emphasized that this situation requires close scrutiny as a large portion of the funding remains opaque and interconnected.

Parallels with Past Periods

The scale and speed of the current investment boom, along with the weight of expected commercial returns, bear similarities to historical examples such as the railway expansion era and the dot-com bubble.

High valuations, market concentration, and opaque financing structures could create vulnerabilities if corporate profits fall short of expectations.

Central Banks and Economy

For central banks, while artificial intelligence does not directly alter monetary policy mandates, it makes the interpretation of economies more difficult.

The technology simultaneously affecting demand, supply, and financial markets complicates the work of policymakers.

Global Investment Projections

The world's five largest technology companies are estimated to invest more than $1 trillion in artificial intelligence between 2025 and 2026.

Industry projections indicate that global artificial intelligence investments could rise from approximately $500 billion currently to $4 trillion by 2030.