AI Boom Sparks 'Too Big to Fail' Fears Over Ecosystem Interconnectivity

Kansas City Federal Reserve President Jeff Schmid has raised concerns about the rapid expansion of the artificial intelligence industry and data-centre investment. He warned that it could eventually create an ecosystem so interconnected and economically significant that it becomes 'too big to fail.'

Schmid compared this potential development to the financial system before the 2008 crisis, when large banks and financial institutions had become deeply interconnected through lending, securities, and complex financial contracts. When losses linked to the US housing and mortgage markets spread through the system, the failure or distress of major institutions threatened broader financial stability.

Schmid noted that a similar dynamic could emerge around AI as technology companies, semiconductor firms, cloud providers, data-centre operators, energy companies, and financial institutions become increasingly linked through investment and commercial contracts. He asked policymakers to consider whether this concentration of capital, infrastructure, and business relationships could create risks that extend beyond individual companies.

The challenge for the Fed is not simply tracking the valuation of AI companies but understanding what lies beneath the boom and whether financial or economic linkages are becoming sufficiently concentrated or interconnected to pose systemic risks. Schmid's remarks underscore why the rapid build-out of AI infrastructure is attracting increasing attention from central bankers, who may need greater visibility into the financing structures and contractual relationships supporting the ecosystem.