AI as a Structural Force Shaping Growth, Productivity, and Labor Markets
Karmel examines how AI-related capital spending is driving business investment and GDP growth, while labor disruption remains concentrated — and productivity gains are already visible in high-exposure industries.
Artificial intelligence continues to exert a powerful influence on the broader economy through sustained capital spending. AI-related expenditures are proving far more structural than cyclical, providing the dominant contribution to business investment growth. Morgan Stanley Research estimates nonresidential fixed investment is projected to expand by 7% in 2026 and 8% in 2027, largely on the back of hyperscaler outlays that are expected to surpass $1T in 2027.
After adjustments for imports, AI investment and associated productivity improvements are estimated to contribute between 0.4 and 0.5 percentage points to overall GDP growth in both years.
Labor market effects remain relatively contained so far, with disruption appearing more micro than macro. Early data reveals modestly elevated unemployment deviations in high AI exposure occupations after cyclical adjustment, particularly among younger workers aged 22 to 27, alongside noticeably higher rates of task reallocation. Yet aggregate impacts on the overall unemployment rate stay minimal, and task changes in exposed roles have risen but remain comparable to levels seen during the peak of the internet revolution. This pattern suggests early, narrowly concentrated adjustments rather than widespread displacement.
Productivity gains linked to AI are becoming increasingly visible at the industry level. Sectors with high exposure recorded a clear acceleration in output per employee during 2025, outpacing less exposed industries and accounting for the majority of recent labor productivity growth. This improvement stems primarily from stronger output expansion and capital deepening rather than labor substitution.
As AI follows the historical pattern of prior general purpose technologies but diffuses more rapidly, it holds significant potential to deliver sustained economic benefits while supporting a manageable transition, provided organizational adaptations and new task creation continue to accompany technological change.