Blog
The Demise of the AI Product Manager
“AI PM” is a transitional label. As AI becomes table stakes, the scarce skill that drove the premium will stop differentiating most PMs—and executives who over-hire for AI expertise risk paying scarcity wages for work that soon looks like everyone else’s. Deep AI specialists will still matter; a separate caste of AI PMs won’t. The durable edge is still great product management—customer judgment, influence, ambiguity, business value, learning speed—practiced by PMs who are simply great at using AI.
The demise of the AI Product Manager is coming.
Not because AI is going away. Exactly the opposite.
In a couple of years - or perhaps less - adding “AI” to Product Manager will become increasingly meaningless. AI capability will be expected. If you don’t have it, you’ll be penalized. If you do, congratulations - you’ve made it to the starting line.
That doesn’t mean deep AI expertise will stop being valuable. There will continue to be PMs with specialized expertise in models, agents, inference economics, and other areas where genuine depth matters.
But “AI PM” as a broad category is a transitional job title.
So what does that mean for product managers and executives?
For Product Managers: Master AI.
But don’t assume AI will differentiate you for long.
Your differentiation will come from your ability to deeply understand customers, exercise judgment, influence without authority, navigate ambiguity, connect customer value to business value, and learn fast.
In other words, many of the things that have always differentiated exceptional Product Managers.
AI competence won’t rescue mediocre product management.
For Product Executives: You’ve probably hired - or are planning to hire - AI Product Managers.
Be careful that you’re not overweighting a skill because it happens to be scarce today.
**AI expertise does not imply product expertise.**
By the time an “AI PM” you hire today is fully ramped into your organization, the AI skills that commanded a premium may already be expected of every PM on your team.
Your goal shouldn’t be to build a separate caste of great AI Product Managers. It should be to build a team of great Product Managers who are great at AI.
And there’s another implication I don’t hear many people talking about: compensation.
Companies are paying a scarcity premium for AI skills today.
That’s rational. But scarcity premiums don’t last forever. If AI capability becomes table stakes faster than compensation structures adjust, executives may find themselves with two PMs doing comparable work—with materially different compensation because one was hired during the AI talent premium.
That’s going to create some uncomfortable conversations. And it may be especially uncomfortable for the AI PM whose primary differentiation was AI expertise.
It wouldn’t surprise me if some companies are already beginning to see this dynamic play out.
AI Product Manager is a valuable label today precisely because AI expertise is scarce. It won’t stay scarce. In fact, I believe it is starting to phase out already.
So learn AI. Hire people who understand AI. Pay for genuine expertise when you need it. But don’t confuse today’s scarcity with tomorrow’s differentiation.
The future doesn’t belong to AI Product Managers.
It belongs to exceptional Product Managers who are great at using AI.