Will The Real Autonomous Agent Please Stand Up

"AI will take your job." We keep hearing this, but is this actually true? The short answer: sometimes. The better answer: that might be exactly what we want.

Building AI models — and building real products on top of them — turns out to be mostly about testing. Not just checking if software works, but validating behavior, bias, reliability, edge cases, and trust at scale. In other words, quality has moved from the end of the pipeline to the center of everything — ALL the way from the time you decide to do an AI project!

In this keynote, we'll cut through the hype to look at what's actually happening in AI today — not science fiction, not nonsense promises, but the real systems being shipped into production. We'll explore how AI is fundamentally changing what "software quality" means, and why testers and quality engineers are uniquely positioned to lead this shift.

You'll see practical ways testers can start building AI skills right now and apply them directly to current projects — even if you've never trained a model before. We'll also talk honestly about which testing tasks AI should take over, and which new responsibilities are emerging in their place.

Most importantly, this talk challenges testers to stop reacting to the future and start designing it — becoming the role models who define what quality, trust, and accountability look like in an AI-driven world.

AI may take your testing job. But you'll have a MUCH better one instead.