Track Talk T10

AI Promised Better Testing, Did It Deliver?

Thomas Decock

13:15 - 14:00 CEST, Tuesday 16th June

AI has been hailed as the next big leap in software testing, accelerating test creation, bug detection, and analysis. But does using AI actually help us achieve testing at its best? And if so, under what conditions?

In this talk, I’ll explore how our team integrated AI into our QA practices over the past year, what worked, what didn’t, and how it affected not just our results, but how we test. We’ll look beyond time savings and flashy automation to ask deeper questions: Is AI helping us uncover better bugs? Make better decisions? Think more critically?

One of the most surprising lessons came from observing how junior testers interacted with AI tools. While productivity improved, their development as skilled test automation professionals slowed. By leaning on AI too early, they skipped the critical thinking and debugging experience that shapes a true testing mindset.

Instead of learning how to test, they learned how to prompt. That’s not testing at its best, it’s testing on autopilot.

You’ll take away:

* Practical insights on where AI supports excellence in testing and where it undermines it

* Lessons from real projects: how AI changed our approach, outcomes, and team dynamics

* A nuanced perspective on how to use AI to enhance (not replace) critical testing skills

* Strategies for balancing speed and quality without sacrificing learning or depth

If we want to keep improving as testers and help others grow, then AI must become a tool we control, not one that controls how we test. This session will help you decide where AI belongs in your journey toward testing at its best.