My Notes From a Summer of AI: Zach Burnett

This summer, I found myself going back to an exercise I learned as a kid: spend time being curious, then force yourself to explain what you learned.

This time, the subject wasn’t a book. It was AI.

In this webinar, I’ll open up my notebook and share where that curiosity took me, as a parent, an everyday user, and the CEO of RadarFirst, and the three questions I kept coming back to: Can we trust the outcome? What does it really cost? And who controls the knowledge that makes AI valuable? What I’m planning on covering:

• Accuracy: How do we know an AI system actually works, and when is it reliable enough to trust?
• Economics: What does a reliable AI outcome really cost as usage and complexity increase?
• AI sovereignty: Who controls the proprietary knowledge and context that make AI useful?

These are the questions leaders should be asking now as AI moves from experimentation into real operations.

This won’t be a polished market recap or another list of AI predictions. It will be an honest, personal reflection on a summer spent listening, learning, and trying to make sense of where AI is taking us.