Interview, Fireside Chat
How AI is Affecting GDP Growth, Productivity, and Jobs
- Current AI investment contributes approximately 0.1 percentage point to U.S. GDP growth, though a significant productivity impact is anticipated within a decade, adding roughly 1.5 percentage points.
- Long-term U.S. GDP growth forecasts have been revised upward to approximately 2.3% with expectations to rise into the mid-2% range.
- Aggregate capital expenditure on AI between the present and 2030 is estimated to range from $5 trillion to $7 trillion, peaking at 2.5% to 3% of GDP around 2027 or 2028.
- Job elimination from AI is projected to affect six or seven percentage points of the 25% of work tasks exposed, occurring gradually over a benchmark period of approximately ten years.
- Upward pressure on the unemployment rate due to AI-induced job losses is expected to range between 0.5 and 1 percentage point, a magnitude smaller than increases seen in average or deep recessions.
- Job creation is anticipated to compensate for AI-related losses over time, with the unemployment rate in 10 years projected to remain near the current level of 4.1%.
- Labor market disruption is expected to manifest as a slow evolution rather than a sudden shock, with a small correlation between AI adoption and employment growth across occupations.
- Substantial increases in AI adoption across industries are expected over time, though implementation requires a significant duration, potentially leading to reduced investment in other productivity-enhancing areas by early adopters.
- A discrepancy exists where C-suite executives hold high expectations for AI-driven productivity while workers believe the impact is minimal, possibly incentivizing workers to understate tool usage.
- Historical precedents suggest new technological innovations will generate new jobs, despite uncertainty regarding specific future sectors and occupations.