Lenny's PodcastNikhyl Singhal: Why information-mover PMs become dinosaurs
How AI splits PMs into builders versus information-mover dinosaurs; expect 30,000 cut and 8,000 rehired AI-first, with judgment as the high-paid skill.
At a glance
WHAT IT’S REALLY ABOUT
PM skills are flipping as AI demands builders and judgment
- AI is pushing product work away from “information moving” and toward hands-on building plus high-quality judgment about what to ship and why.
- Companies are likely to shed large parts of their workforce and then rehire fewer, “AI-first” people, creating both opportunity for builders and risk for non-builders.
- Because software iteration is getting dramatically cheaper and faster, PMs will face many more potential changes and must become better at prioritization, systems thinking, and evaluating tradeoffs.
- Career signals are shifting from brand-name resumes and past launches to demonstrable modern tool fluency, current craft, and speed of execution.
- The transition is psychologically hard and exhausting, but many PMs find a “moment of joy” once they build something themselves, which becomes the antidote to burnout and the catalyst for reinvention.
IDEAS WORTH REMEMBERING
5 ideasThe “information-mover PM” is becoming obsolete.
Singhal argues many PMs spent recent years translating status, shaping narratives, and moving docs up chains; AI and new operating models reduce the need for that, favoring people who directly build and decide.
Judgment becomes the highest-paid PM skill as testing gets cheap.
If products can ship 10–100× more experiments, the bottleneck is no longer execution mechanics but deciding what matters, what’s sustainable, and what fits the system and brand.
Expect workforce churn: big layoffs followed by smaller AI-first hiring waves.
He predicts “massive shedding” then rehiring fewer people with modern, AI-native skills—meaning employability hinges on current tool fluency and hands-on capability, not title history.
Your brand and past wins matter less than how modern you are today.
Hiring conversations are shifting toward scenario-based evaluation (tools, thinking, judgment) because prior-era delivery methods may not translate to today’s AI-accelerated product building.
Build internal leverage, not just external features.
A strong near-term move is creating “chief of staff” workflows, agents, and automation that eliminate status reports, reviews, and manual coordination—software that scales your org’s decisioning.
WORDS WORTH SAVING
5 quotesThe information-mover is essentially going to become a dinosaur.
— Nikhyl Singhal
In the next 12 to 24 months, we're gonna see massive shedding of staffs and then massive rehiring.
— Nikhyl Singhal
If you don't love building stuff, you're in trouble.
— Nikhyl Singhal
In two years, I think there won't be any more bad software.
— Nikhyl Singhal
Your goal when you're in your power years is to equally disappoint everyone in your life.
— Nikhyl Singhal
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