Lenny's Podcast: Why half of product managers are in trouble — Nikhyl Singhal

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders, and a former product executive at Meta, Google, and Credit Karma. He appeared on Lenny Rachitsky’s podcast in April 2026 for a conversation about how AI is restructuring the PM role and which segment of the profession is most at risk.

Who it’s for: product managers at any level who are evaluating how AI disruption affects their specific work, and leaders thinking about how to reshape product teams over the next one to two years.

Key takeaways:

1. The PM role is splitting into two distinct categories. Singhal draws a clear line between “information movers” — PMs whose primary activity is framing problems, writing documents, and shuttling information between teams and leadership — and “builders” — PMs who prototype, ship experiments, and think in terms of product artifacts. AI is automating the core activities of information movers faster than most realize, and the half of the PM population that operates primarily in that mode is at serious risk of displacement.

2. The next two years will be the most disruptive period in PM history. Singhal frames this as structural disruption rather than gradual evolution. His prediction is that companies will shed significant PM headcount and rehire for AI-first roles — PMs who can build, prototype, and operate without large supporting teams. Organizations that had large PM functions built around coordination and documentation are the most exposed.

3. Psychological barriers matter more than skill gaps. Singhal spends significant time on what he calls “smiling exhaustion” — the pattern of professionals who are privately overwhelmed but publicly maintain confidence. He argues the mental obstacles to reinventing one’s approach are larger than the technical ones, and that career resilience in this period depends more on willingness to change than on credentials or past titles.

4. Builder-oriented PMs are in a period of renewed value. For PMs who prototype, write code, ship experiments, and think in terms of testable artifacts rather than process documents, Singhal sees the opposite dynamic: a renaissance. AI tools compress the gap between idea and working product in ways that disproportionately benefit PMs who were already inclined to build independently.

5. Credentials matter less than demonstrated adaptability. Conventional signals — title, company prestige, years of experience — are declining as indicators of future PM performance. Singhal’s argument is that what matters now is demonstrated ability to evolve: picking up new tools, shipping under new constraints, and updating mental models as the environment shifts.

Worth watching if you have been using AI primarily to make existing tasks faster — writing specs, summarizing meetings, generating options — rather than to change what you build or how you prototype. Also useful if you lead a product organization and are trying to understand which roles within your team are most exposed to structural change in the next year.