AI Project Management is overhyped.That is what I told myself when I first started working on AI project.
Turns out, I had no idea what an AI PM really did.
After spending months watching world-class AI PMs, building AI products, and making 100s of bad decisions, I have a much better definition of the role.
But sadly, even today, most PMs trying to work on AI are in the same boat:
Confused and clueless about "what does an AI PM actually do?"

Here's the simplest mental model:
An AI PM is responsible for finding answers to these 7 questions.
1. What problem should we solve to maximize impact?
2. Does this need AI?
3. Do we have the right data?
4. How do we turn data into something useful?
5. How will users experience it?
6. How do we know it works before launch?
7. How do we keep making it better?
Let's break each one down 👇
1. What problem should we solve: The problem must be specific, validated with real users, and solution-agnostic. If you get this wrong, the model does not matter.
2. Does this really need AI: This is the most important question an AI PM asks. And the answer is usually no. Saying no to AI when the situation does not call for it is not a failure. It is the job.
3. Do we have the right data: "We have data" is not a strategy. An explicit data plan that includes what data we need, what we have, and what is missing is the right strategy. AI is only as good as the data behind it.
4. How do we turn the data into something useful: Simple prompt, ML model, RAG, or agents. Each has a different use case, cost profile, and failure modes. The PM who skips this hands those decisions to engineering.
5. How will users experience it: Users need trust, control, and recovery. Design for when the AI fails, not only for when it works.
6. How do we know it works before launch: There is no binary pass/fail. Build an eval framework. Define good, bad, and edge cases. Ship only when the product clears your threshold.
7. How do we make it better after launch: AI products degrade in production if you stop watching them. Sample live conversations. Add new failure modes to your test set. Never stop monitoring.
Want to ship your first AI project?
DM me "AI" (it's free) and I'll point you in the right direction.

By Kiran Viswanatha 

LinkedIn: https://www.linkedin.com/in/kiran-v-79a09630/