The AI Bubble Is Widely Misunderstood | Steve Hou

The AI investment cycle functions as a sustained, high-magnitude capital expenditure wave rather than a transient speculative bubble. This massive build-out of data centers and compute infrastructure has provided a critical cushion for the U.S. economy, offsetting the cooling effects of recent interest rate hikes. While traditional metrics struggle to capture immediate productivity gains due to composition bias and the inherent "time to build" lag, the shift toward agentic AI—where models recursively call upon themselves—creates non-linear demand for compute that remains significantly underestimated. Monetary policymakers should prioritize observable labor market data and wage growth over preemptive rate cuts based on speculative disinflationary outcomes. Ultimately, AI is poised to reshape economic modeling through agentic simulations, allowing for more realistic, data-driven analysis of policy impacts and complex systemic responses.