Investment Paradox: AI Spend Drives US GDP Without Proven Productivity Gains

The construction of AI infrastructure has evolved into the primary driver of the US economy, masking the absence of actual returns from the technologies themselves. On October 26, 2026, Reuters published a macroeconomic analysis documenting a critical disconnect: trillion-dollar capital expenditures (CAPEX) on data centers and compute clusters are sustaining business investment and GDP growth, yet there is still no statistically validated evidence of labor productivity gains derived from neural network deployment.

This economic imbalance poses a severe threat to equity markets. The economy is artificially buoyed by "concrete" expenditures on server farm construction. Economists caution that absent tangible operational margins on the side of end-user corporate consumers, the infrastructure bubble will inevitably deflate. If businesses fail to realize cost reductions and personnel redundancies driven by AI, data center investments will lose their fundamental justification, precipitating an acute recession and a collapse in Big Tech valuations.

Источники: Reuters