AI testing demos are almost unfairly persuasive.
You describe a workflow in plain English. The agent opens a browser, finds the correct elements, completes the flow, and produces a passing test.
Five minutes later, it feels as if test maintenance has been solved.
The problem is that a demo shows the happy path for the agent, not the operating model for your team.
The real evaluation begins when the application changes, the locator is ambiguous, the environment is partially broken, or the agent makes the wrong decision with high confidence.
