Building an AI product ≠ Using AI in a product.
One means AI is the heart of the solution.
The other just adds AI to something that already works.
You can know everything about models, prompts, benchmarks, inference speed
But if you can’t frame a real problem, prioritise for adoption, or deliver user value...your AI product is headed for the demo graveyard.
So, if I had to pick just one skill for an AI PM?
I would pick product thinking.
Every. Single. Time.
Because:
- Technology doesn’t define the outcome. Product thinking does.
- AI feels like intelligence, but it doesn’t understand your users yet
- Model performance ≠ product-market fit.
We’ve seen this before: Cloud. APIs. Mobile. Data science.
Hype surges. Adoption stalls.
Not because the tech isn’t ready, but because the “product work” wasn’t done.
Let’s not repeat that with AI.
