US-China AI investment and productivity

Analysts first examined the financial calculus of large‑scale AI projects, outlining how return‑on‑investment assessments must factor in risk‑free rates, equity risk premiums and the higher yields needed for projects to be viable. The discussion highlighted the difficulty of justifying the massive capital outlays in AI and related manufacturing capacity, especially as treasury yields rise.

A subsequent Federal Reserve study of U.S. earnings‑call transcripts showed that, despite a steep rise in AI‑related spending—projected to reach about $600 billion in 2026, roughly 2 % of U.S. GDP—productivity gains remain marginal. AI‑related commentary is overwhelmingly optimistic, yet measured productivity data indicates only a 1.1 % contribution by the end of 2024, suggesting that the abundance created by AI may be offsetting real output growth.

Together, the snapshots trace a narrative in which soaring AI investment in the United States (and comparable manufacturing expansion in China) is confronted with skeptical evaluations of financial returns and limited macro‑economic impact.