Anthropic released this fascinating chart that shows a large gap between what AI could automate and where it is actually being used today. The biggest adoption so far is in software and quantitative fields because the work is digital, rule-based, and mistakes are cheap.
The next wave will not necessarily come from where AI is most capable, but from where institutional friction starts to break. Legal, healthcare, engineering, and education all show high theoretical coverage but low real usage. That gap signals where the next generation of AI-native companies will emerge.
Physical-world jobs remain relatively protected because they depend on robotics, not just reasoning. So near-term disruption will concentrate in knowledge work before physical labor.
The broader pattern: digital intelligence work → structured knowledge work → physical work
AI capability is no longer the primary constraint. Trust, regulation, and workflow integration are. In Enterprise, I'd focus on where AI capability is high + workflow pain is high + outsourcing already exists.