Have you heard that yet: "Let’s cut the QA testers and AI can handle it now"
And boom, just like that, decades of experience, critical thinking and product protection are replaced by AI.

Let me be clear: I’m all for AI. I use it, we use it to support our clients. I write about it and talk about it but very carefully without providing empty promises or painting rosy pictures.

I don’t see AI as a magical quality solution at least not yet. It can’t "bake in" quality or thoroughly test applications with guaranteed zero-defect leakage or zero risk in production. AI can’t feel the product or spot usability issues. It can’t think like a hacker and handle security or penetration testing. It can’t magically detect performance or scalability bottlenecks and act as your performance engineer. It cannot do a thorough accessibility testing. It also can’t reliably convert manual test cases into stable automation scripts. The list goes on… Yes, AI can assist and boost efficiency in certain areas, but no, it absolutely cannot replace my testers.

But replacing your QA team entirely with AI? That’s not strategy, that’s wishful thinking.

AI doesn’t ask tough questions. It doesn’t notice when requirements are vague. It doesn’t challenge assumptions or raise red flags when something feels off. My testers and your testers do that. The ones you just let go.

Cutting QA may look good on a spreadsheet for a moment, but what happens when bugs slip into production, customers churn, or your team loses trust in the product?

AI can be powerful, but only with human oversight, human judgment, and human accountability.

Let's not chase cost savings today just to pay the price in quality tomorrow.
Human + AI = The real magic. Let’s use both wisely. Avoid the costly mistakes today that might come back to bite you tomorrow.

Thoughts?
Have you heard that yet: "Let’s cut the QA testers and AI can handle it now" And boom, just like that, decades of experience, critical thinking and product protection are replaced by AI. Let me be clear: I’m all for AI. I use it, we use it to support our clients. I write about it and talk about it but very carefully without providing empty promises or painting rosy pictures. I don’t see AI as a magical quality solution at least not yet. It can’t "bake in" quality or thoroughly test applications with guaranteed zero-defect leakage or zero risk in production. AI can’t feel the product or spot usability issues. It can’t think like a hacker and handle security or penetration testing. It can’t magically detect performance or scalability bottlenecks and act as your performance engineer. It cannot do a thorough accessibility testing. It also can’t reliably convert manual test cases into stable automation scripts. The list goes on… Yes, AI can assist and boost efficiency in certain areas, but no, it absolutely cannot replace my testers. But replacing your QA team entirely with AI? That’s not strategy, that’s wishful thinking. AI doesn’t ask tough questions. It doesn’t notice when requirements are vague. It doesn’t challenge assumptions or raise red flags when something feels off. My testers and your testers do that. The ones you just let go. Cutting QA may look good on a spreadsheet for a moment, but what happens when bugs slip into production, customers churn, or your team loses trust in the product? AI can be powerful, but only with human oversight, human judgment, and human accountability. Let's not chase cost savings today just to pay the price in quality tomorrow. Human + AI = The real magic. Let’s use both wisely. Avoid the costly mistakes today that might come back to bite you tomorrow. Thoughts?
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