Gaurav (PM at a unicorn startup) is fearing AI

Is AI hitting his career growth?

Last Monday, I met Gaurav — a PM at a unicorn startup.

Over coffee, he shared something that stuck with me:

"I’ve shipped great products for 5 years. But now, every room I walk into is talking about LLMs, data pipelines, embeddings… and I feel like I’m 10 steps behind."

He’s not alone.

There was a time when being a great PM meant three things:
✔ Knowing your user
✔ Shipping fast
✔ Making smart trade-offs

You didn’t need to know how an algorithm worked. Your job was to rally the team, prioritize ruthlessly, and be the user’s loudest advocate.

We used to say:
“PMs are the voice of the customer — not the architect of the code.”

But AI has changed the game.

Now, product meetings start with:
➡ “Should we fine-tune this model or use a base LLM?”
➡ “What’s our data labeling and feedback loop strategy?”
➡ “Can we ensure explainability and fairness for regulators?”

Suddenly, PMs are expected to sit in rooms where transformer architecture, vector databases, and differential privacy aren’t edge cases — they’re central to product strategy.

You don’t need a PhD.
But you do need to stop delegating the hard questions.

Because the next generation of products — powered by generative AI, real-time intelligence, and adaptive experiences — won’t be built by PMs who just write PRDs.

They’ll be built by curious, technically fluent, user-obsessed PMs who:

✔ Understand model limitations as deeply as user needs
✔ Know that trust, bias, and explainability are product features
✔ Can partner with engineers to shape AI-driven architecture
✔ Make trade-offs not just between UX and business value — but between inference cost and accuracy, latency and personalization

And most importantly:
They know when to ask why, how, and what if — even in deeply technical conversations.

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That’s why I built AI for Product Managers course — a live, hands-on course that won’t turn you into an ML engineer,
but will make you the PM your AI team actually wants in the room.

🧠 6 live sessions spanning over 15 hours with frameworks, breakdowns & case studies
🛠️ Hands-on with LLMs, ML pipelines, prompting & evaluations
📦 Learn to define strategy, avoid hype, and build responsibly

If you're building the future — or want to —

P.S: I have limited seats for the cohort. If you are interested; register asap!