AI rewards wealthy, not workers: Wall Street data

The article synthesizes recent Wall Street research to argue that AI is not the great leveler it was pitched as. Morgan Stanley’s economics team found that high-AI-exposure jobs are concentrated among college-educated, high-income urban households. However, these same households are cushioned by their equity wealth, which is heavily concentrated at the top. This means the same populations facing theoretical risk are also financially insulated from it.

In contrast, research from Apollo Global Management and IESE Business School shows that AI's impact on wages is borne by the lowest-paid workers in those exposed occupations. They are experiencing slower wage growth, not job losses, while firms' pricing power has pushed profit margins near postwar highs. This wage suppression appears to be a deliberate corporate playbook, using AI as cover for holding wages flat while raising prices.

The public, visible through backlash against data centers and a general distrust of AI, seems to have already perceived this asymmetry. The political response, including blockades and moratoriums, suggests this issue is not only economic but also a political liability.