Everyone is talking about AI replacing testers, writing tests, and transforming software quality. But what if we're asking the wrong question?

In this solo episode, Joe Colantonio shares a growing concern he's seen while traveling across the country for TestGuild IRL events: a decline in testing fundamentals at the exact moment AI hype is reaching a fever pitch.

Drawing insights from Carissa Véliz's book Prophecy: Prediction, Power, and the Fight for the Future, Wayne Roseberry's work on AI and meaning, and Tariq King's concept of Human Experience Testing, Joe explores why AI systems may be far less intelligent than many believe, and why human testers remain more important than ever.

You'll discover:

✅ Why large language models generate plausible answers without understanding truth

✅ The difference between prediction, correlation, and genuine understanding

✅ Why AI can test software but cannot experience software

✅ What "Everything is tested, but nothing is experienced" really means

✅ How AI hype may be distracting teams from critical testing fundamentals

✅ Why empathy, context, and human judgment are becoming competitive advantages for testers

Whether you're excited about AI, skeptical of it, or somewhere in between, this episode will challenge you to think more deeply about the future of testing and your role in it.

Resources Mentioned 📖 Prophecy: Prediction, Power, and the Fight for the Future by Carissa Véliz 📖 Work and presentations by Wayne Roseberry 🎓 Free course: thebullshitmachines.com 🎤 Learn more about TestGuild IRL events: TestGuild.com/irl

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