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In the finale of our three-part series, Matt LeMay takes on the tech world's shiniest object: artificial intelligence. From summarizing meeting notes to influencing million-dollar decisions, AI is here to stay. But Matt warns against using AI as a goal unto itself. Product teams must ground their experimentation in business logic—or risk becoming distractions.

Detailed Analysis: Episode 39 brings a timely and pragmatic take on AI in product management. Matt acknowledges AI’s strengths—particularly in summarizing information and idea generation—but urges caution. When AI tools lack source context, they can mislead as easily as they can inform. The key is discernment: understanding when AI adds value and when it distracts.

The team unpacks how AI is impacting product roadmaps, budgeting, and even job security. Matt shares war stories of teams told to "do something with AI," only to later realize the result consumed $200K to close a $50K deal. Oops.

But this isn't an anti-AI rant. Matt offers frameworks to leverage AI wisely while keeping business impact front and center. If you’re going to play with shiny tools, make sure they’re solving real problems.

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Bjørn Hinderaker - om Magedansing, Monty Python og Misjon