AI Investment Supports U.S. Growth as IMF Flags Entry-Level Job Risk

Artificial-intelligence investment is supporting growth in the United States and economies linked to the AI value chain, while labor-market changes are increasing pressure on younger workers entering the workforce.

The International Monetary Fund’s 2026 global growth outlook stood at around 3% as of Sept. 1. The institution has identified AI investment as a driver of expansion in the U.S. and other economies integrated into the technology supply chain.

The labor-market transition is becoming visible in hiring requirements. Roughly one in 10 job vacancies in advanced economies required at least one new skill, compared with about one in 20 vacancies in emerging-market economies.

New-skill demand was associated with higher wages and employment overall. It also coincided with greater labor-market polarization and challenges for younger workers as the mix of skills sought by employers changes.

New and technology-related skills are appearing first in advanced economies, particularly the United States, before spreading to other countries. That pattern gives economies with established technology industries and strong supply-chain links an advantage in attracting investment.

Countries with less participation in the AI sector risk missing part of the expansion. The uneven distribution of investment and skills is adding to policy questions about how productivity gains, labor demand and public finances will change as adoption expands.

The IMF has also examined AI’s effects on productivity, energy demand and financial stability. Its analysis of how artificial intelligence could reshape monetary policy separates changes to the broader economy from changes in how interest-rate decisions reach financial markets and households.

The IMF and World Bank annual meetings are scheduled for Oct. 12-18 in Bangkok, keeping AI’s effects on growth, employment and economic policy on the agenda.