You entered your profession because you wanted to teach, code, write, create, or design. But thanks to AI — and the immense pressure to use it — you now spend less time practicing your craft and more time managing the technology that's doing the work you wanted to do.

For many professionals, that means supervising agents: tools designed to perform tasks autonomously but that, in practice, require workers to set expectations, delegate assignments, evaluate performance, demand revisions, and intervene when things go wrong. Others manage a steady pipeline of AI-generated work, reviewing the output and taking responsibility for what ultimately ships. READ MORE