Federal Reserve Governor Michael Barr stated that the impact of artificial intelligence on the distribution of income between labor and capital remains uncertain. The official noted that it is unclear whether AI will increase returns for capital owners or boost wages for employees by enhancing productivity.

Data from 2026 shows that the labor share of US nonfarm business income reached a record low of 52.8%. Historically, during the post-WWII era, this indicator ranged between 60% and 66%. Currently, the top 20% of US households receive 52% of all income, while the bottom 20% account for only 3%.

Barr highlighted two potential scenarios for AI adoption. The first involves gradual integration leading to modest productivity gains and shared benefits. The second scenario suggests rapid adoption causing significant labor-market dislocation, where gains concentrate among capital owners.

As of November 2026, there are emerging signs of AI substituting labor in specific sectors, though broad large-scale displacement has not yet occurred. Barr emphasized that the Federal Reserve's monetary policy tools are designed for cyclical business issues and cannot address structural shifts in economic output distribution.