The lazy read is that browser agents are a demo: something that clicks around convincingly and then breaks on anything real.
Here is the more useful one. Agents are now practical enough for repeat work — research, procurement comparison, form completion, light CRM updates, internal knowledge retrieval. The shift that matters is not that they can click. It is that teams have started designing workflows around supervised clicking.
That moves AI out of the chat window and into the messy layer where work actually happens: tabs, tools, forms, dashboards, permissions. Which is where the leverage is, and also where the risk is, because identity, approvals and data boundaries are usually undefined until something goes wrong.
The dividing line is downside, not capability. A task with a known checklist and a cheap failure is ready for a supervised agent today. Anything touching payments, regulated data or a customer commitment keeps a human approval step, however well the agent performs in a demo. Operators, founders, revenue teams and internal systems owners hit this first, because they own the workflows with the most repetition.
Next move: pick one repetitive browser workflow and write down every decision point in it before automating anything. The map is the hard part. The tool choice is not.