By Shreyas Doshi · shreyasdoshi.substack.com · @shreyas on X · LinkedIn
The essay argues that as AI makes execution cheaper and faster, the scarce skill for product managers becomes product sense: the judgment to decide what is worth building and why. Mechanical PM tasks like writing specs, analyzing data, and coordinating tickets are increasingly automated, so differentiation shifts toward taste, problem selection, and conviction. The author suggests this makes product sense a durable, evergreen capability worth deliberately developing. However, the source text supplied here is only a truncated opening line, so the detailed arguments and examples could not be verified against the full piece.
01Key takeaways
- As AI lowers the cost of execution, judgment about what to build becomes more valuable than output speed.
- Focus on developing product sense: deciding which problems deserve attention and why.
- Treat taste and prioritization as core skills rather than outputs that tools can produce for you.
- Build the habit of articulating the reasoning behind product choices, not just the choices themselves.
02Key sections
- The recurring question
- The piece opens with a common question the author gets asked, setting up the topic of what skills matter for product managers. Only this opening was available in the source provided.
03From the post
“I get asked all the time:”
Summary and takeaways written by PM Atlas; quotes are short excerpts. © the original author.