Good morning. Anthropic’s recent study mapping AI’s reach across hundreds of occupations continues to raise fresh concerns about the future of white-collar work.
What makes this study different from the usual AI-disruption commentary is the data source—actual Claude usage data from the workplace. It sheds light on what share of the work in a given occupation AI systems can already do, and how much more they could theoretically take on.
For example, for business and finance occupations broadly, the theoretical exposure (tasks AI could speed up by more than 50%) is very high, but actual observed usage still lags behind. That means the potential disruption hasn’t been fully realized. That gap, however, is expected to close as capabilities improve and adoption deepens.
