A senior Federal Reserve official has put an uncomfortable question on the table. Speaking this week, Kansas City Fed president Jeff Schmid said the finances around the AI buildout now merit close watching.
Jeff Schmid said there were signs the industry had grown large enough that policymakers should start discussing it at a macro level, and asked whether AI was becoming another sector that was too big to fail.
That phrase carries weight. It was the language of the 2008 financial crisis, when banks had grown so central that governments felt forced to rescue them, and hearing it applied to AI is a notable escalation in official tone.
Schmid’s worry is about scale and correlation. He suggested the current wave of AI spending should be compared with earlier booms, warning that concentration on this scale can turn a single sector’s troubles into an economy-wide problem.
The numbers behind the anxiety are staggering. Big Tech is now carrying nearly $2.4 trillion in AI spending commitments, a figure that dwarfs most previous corporate investment cycles and leaves little slack if demand disappoints.
