AI and the Global Economy: Productivity Gains, Labor Displacement, and Policy Responses

Artificial intelligence has moved from speculative potential to measurable economic impact. This report synthesizes the latest data on AI’s contribution to productivity, its effects on labor markets, and the divergent policy responses emerging across major economies.

The productivity data is beginning to materialize, though unevenly. Firms that have deployed AI at scale report average productivity gains of 15-25% in knowledge work functions including software development, customer service, and financial analysis. Goldman Sachs has revised its estimate of AI’s potential contribution to global GDP upward to $10 trillion over the next decade, equivalent to adding an economy the size of Japan and Germany combined.

However, the labor market implications are more complex than early predictions suggested. Rather than wholesale job displacement, the dominant pattern has been task redistribution. A comprehensive study by the OECD found that only 5% of jobs in advanced economies are fully automatable with current AI capabilities, but 35% of jobs have at least half their tasks exposed to AI augmentation. The net effect has been a polarization of wages: workers who effectively leverage AI tools have seen income gains of 12-18%, while those in routine cognitive roles face stagnating or declining compensation.

Regulatory approaches have diverged sharply. The EU’s AI Act, now fully operational, imposes compliance costs that disproportionately affect smaller firms. The US maintains a sector-specific, largely voluntary framework. China has implemented a pragmatic regime that encourages domestic AI development while restricting cross-border data flows. The lack of international harmonization creates challenges for multinational corporations and risks fragmenting the global AI ecosystem.