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AI Boom or Fiscal Bubble? The Search for Balance

America’s political dysfunction meets its technological euphoria—and neither knows how to set limits.
AI Boom or Fiscal Bubble? The Search for Balance
In an aerial view, an Amazon Web Services data center is seen in Stone Ridge, Va., on July 17, 2024. Nathan Howard /Getty Images
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Commentary
The United States faces a paradox. On one hand, Washington staggers through yet another fiscal standoff, each “procedural” shutdown slowly eroding confidence in the system’s ability to govern. On the other, capital surges into artificial intelligence as if no constraint existed. The dissonance between fiscal paralysis and technological euphoria is becoming the defining tension of this era.

Fiscal Credibility and the Erosion of Trust

Budget brinkmanship has become ritualized, but repetition corrodes credibility. Each near-shutdown compounds the perception that America’s political institutions can no longer deliver predictability—the one quality markets prize most. Credibility compounds; uncertainty discounts. Once investors begin pricing political risk into Treasury yields, the U.S. risks losing what no stimulus can buy back: institutional trust.

The AI ‘Great Leap Forward’

Meanwhile, an industrial surge unfolds. Capital floods into data centers, GPUs, and cloud infrastructure with the zeal of a modern “Great Leap Forward.” Optimists see the next productivity revolution. Skeptics see echoes of the dot-com and housing manias: capacity racing ahead of demand, valuation narratives decoupled from fundamentals.
Davy J. Wong
Davy J. Wong
Author
Davy J. Wong is a political economist specializing in global and real estate economics. He has held prominent positions including director at ASEA, executive director of the Research Council, and chief economist at CECU.