Nikhyl Singhal (Meta, Google)19 April 2026

Why half of product managers are in trouble

5Frameworks

15Insights

Episode overview

Nikhyl Singhal argues that AI is remaking product management: information-moving work is being automated while hands-on builders with judgment are gaining leverage, opportunities, and enjoyment. He predicts substantial layoffs followed by smaller-scale rehiring of AI-first talent as companies rebuild their product operating systems. To thrive, product professionals must embrace continuous reinvention, automate low-value parts of their own work, increase their pace, stay current, and prioritize long-term relevance over title or prestige. Although the transition will be exhausting and may weaken geographic and demographic diversity, he believes it can produce more joyful and consequential product careers.

Key ideas

AI will automate the mechanical, information-moving parts of product management, making judgment about what to build and release the central skill.
Companies may shed large workforces and then rehire fewer AI-first builders, creating simultaneous job-market disruption and strong demand for modern product talent.
Product managers should build internal software and agents that automate status reporting, matching, recruiting, research, and other repetitive workflows.
The most effective transition starts with a personally meaningful building experience that replaces fear with joy and creates energy for continued reinvention.
Career resilience now depends more on current tools, judgment, pace, and demonstrated building ability than on prestigious employers or past titles.
Experienced professionals should stay hands-on, swallow their ego, and accept smaller near-term roles when those roles preserve stronger long-term opportunities.
Product skills may spread into other functions and industries as AI-fluent PMs become agents of organizational change, while engineers and designers move toward product roles.
The rapid AI transition may reduce workforce diversity and increase burnout because fewer, geographically concentrated teams are operating at a relentless pace.

Transcript available · source text is retained privately and is not published

Frameworks in this episode

Strategy4 steps

Builder vs. Information Mover

Diagnose which half of your role AI kills and which half it supercharges.

Read →

Mindset4 steps

Crossing the Chasm from Fear to Joy

Reinvent yourself by manufacturing one small moment of building joy, not by studying harder.

Read →

Self-Mastery3 steps

Equally Disappoint Everyone

In your power years, prioritize by spreading disappointment evenly to protect time for reinvention.

Read →

Productivity4 steps

Obsolete Yourself

Treat every repeatable thing you do as something to replace with software or an agent.

Read →

Self-Mastery3 steps

The Skip — Plan the Move After Next

Optimize career decisions for the job two moves out, not the next job.

Read →

People & resources mentioned

Attributed to the moment in the episode. Timestamps are approximate.

People · 8

Nikhyl SinghalMentionsnickel has worked on and led large teams on four different influential consumer products including Facebook Credit Karma Google Hangouts and Google photos
“Today, my guest is Nikhil Singhal.”
▶ Watch at ~1:00approx.
Lenny RachitskyMentionstoday we've got another very special compilation episode something I've been pulling on more and more with the podcast and the newsletter
“Did that surprise you, Lenny?”
▶ Watch at ~23:30approx.
Surbhi ParekhMentionsmentioned
“Those people are the ones that are being hired by your Surbhi Parekh.”
▶ Watch at ~26:00approx.
AmolMentionsAmol, the head of growth at growth at Anthropic
“this came from a chat I just had with Amol, the head of growth at growth at Anthropic”
▶ Watch at ~30:30approx.
Dario AmodeiMentionsI was sitting next to Dario yesterday and he's like I keep making these predictions and people keep laughing at me
“they asked all the heads of the AI labs, like Demis and Sam Altman and Dario”
▶ Watch at ~48:30approx.
Demis HassabisMentionsReferenced for an interview about testing AI against historical scientific breakthroughs.
“they asked all the heads of the AI labs, like Demis and Sam Altman and Dario”
▶ Watch at ~48:30approx.
Sam AltmanMentionsthere's everybody has uh and had and continues to have like such deep trust in in Sam and Greg and our leadership team
“they asked all the heads of the AI labs, like Demis and Sam Altman and Dario”
▶ Watch at ~48:30approx.
Mark TwainCoinedmentioned
“the book was written from Twain's perspective who was quite forward-thinking by the way”
▶ Watch at ~1:22:30approx.

Resources · 40

GoogleMentionscompany · Google
“He was a long-time exec at Meta and at Google, CPO at Credit Karma.”
▶ Watch at ~1:00approx.
Credit KarmaMentionscompany
“He was a long-time exec at Meta and at Google, CPO at Credit Karma.”
▶ Watch at ~1:00approx.
MetaMentionscompany
“He was a long-time exec at Meta and at Google, CPO at Credit Karma.”
▶ Watch at ~1:00approx.
Skip CommunityCoinedcompany · Nikhyl Singhal
“he leads the best community out there for heads of product and chief product officers called the Skip community”
▶ Watch at ~1:30approx.
Lenny's NewsletterCoinednewsletter · Lenny Rachitsky
“deals available exclusively to Lenny's newsletter subscribers”
▶ Watch at ~2:00approx.
Lenny's Product PassCoinedwebsite · Lenny Rachitsky
“don't forget to check out Lenny's product pass.com for an incredible set of deals available exclusively to Lenny's newsletter subscribers”
▶ Watch at ~2:00approx.
OpenAIMentionscompany
“What do OpenAI, Anthropic, Cursor, Vercel, Replit, Sierra, Clay, and hundreds of other winning companies all have in common?”
▶ Watch at ~8:30approx.
CursorMentionssoftware · Anysphere
“What do OpenAI, Anthropic, Cursor, Vercel, Replit, Sierra, Clay, and hundreds of other winning companies all have in common?”
▶ Watch at ~8:30approx.
WorkOSRecommendscompany · WorkOS, Inc.
“Go to workos.com to make your app enterprise ready today.”
▶ Watch at ~9:30approx.
ClaudeUsessoftware · Anthropic
“someone's going to basically sit down and tell Claude to fix it and it's just going to fix it”
▶ Watch at ~17:30approx.
ClaudeUsessoftware · Anthropic
“the prompt I constantly find myself using with Codex and Claude is just how can we make the product experience better?”
▶ Watch at ~17:30approx.
CodexUsessoftware · OpenAI
“the prompt I constantly find myself using with Codex and Claude is just how can we make the product experience better?”
▶ Watch at ~17:30approx.
Claude CodeUsessoftware · Anthropic
“all of these companies have access to the most skilled software engineer, Claude Code, a Codex and all these other tools”
▶ Watch at ~18:30approx.
IBMMentionscompany
“mainframe sales continue to do pretty well and they're an unusually large line item for companies like IBM”
▶ Watch at ~19:00approx.
United MileagePlusUsesproduct · United Airlines
“I spent an hour and a half trying to get my MileagePlus account on United to work correctly”
▶ Watch at ~19:30approx.
ChatGPTMentionssoftware · OpenAI
“Before, you know, Claude and ChatGPT and others kind of came came out.”
▶ Watch at ~20:30approx.
AnthropicMentionscompany
“this came from a chat I just had with Amol, the head of growth at growth at Anthropic”
▶ Watch at ~30:30approx.
VantaRecommendssoftware · Christina Cacioppo
“Learn more at vanta.com/lenny. And as a listener of this podcast, you get $1,000 off Vanta.”
▶ Watch at ~48:00approx.
MicrosoftMentionscompany · Bill Gates and Paul Allen
“Microsoft and Meta and other big employers started to kind of create a new new version.”
▶ Watch at ~50:30approx.
Tom Clancy's Jack RyanUsestv show
“these books are like they're like structured and all that. So, you know, Alex Cross or you know, Jack Ryan.”
▶ Watch at ~58:00approx.
Amazon Prime VideoRecommendsproduct · Amazon
“I think well, I I a lot of it Amazon Prime shows are good.”
▶ Watch at ~58:00approx.
24Usestv show
“one time I just binge watch a season of 24. The show that I loved when back in the day”
▶ Watch at ~58:00approx.
CodexUsessoftware · OpenAI
“I was uh for a month pretty aggressive on Codex”
▶ Watch at ~58:30approx.
Claude CodeUsessoftware · Anthropic
“I kind of been pretty all in on Claude these last 3 months.”
▶ Watch at ~58:30approx.
LovableRecommendssoftware · Lovable
“All you do is go to I don't know lovable or install cloud code download code X”
▶ Watch at ~1:02:00approx.
RedditUseswebsite · Steve Huffman, Alexis Ohanian, and Aaron Swartz
“all the stuff that's going on with you know, on on Reddit and X and all that”
▶ Watch at ~1:21:30approx.
XUseswebsite · X Corp.
“all the stuff that's going on with you know, on on Reddit and X and all that”
▶ Watch at ~1:21:30approx.
Paramount+Mentionsproduct · Paramount Global
“The other one that I really like is Lioness which is on Paramount Plus”
▶ Watch at ~1:23:30approx.
LionessRecommendstv show
“The other one that I really like is Lioness which is on Paramount Plus”
▶ Watch at ~1:23:30approx.
ParadiseRecommendstv show
“I mean I think everyone's talking about Paradise. I I mean if you haven't watched the season 1 and season 2”
▶ Watch at ~1:23:30approx.
Tesla Model SUsesproduct · Tesla
“I've had a Tesla for a really long time. I'm a model S for just a long time”
▶ Watch at ~1:24:30approx.
Tesla Full Self-DrivingRecommendssoftware · Tesla
“I drove the latest Teslas that are out there and the ones with the the self-driving. And the self-driving works quite well”
▶ Watch at ~1:25:30approx.
UberMentionscompany · Uber
“I feel like this is like Uber where you almost to just start hearing about it from your friends”
▶ Watch at ~1:28:00approx.
Skip HelpCoinedwebsite · Nikhyl Singhal
“something called skip.help where we have agents that have been trained and on about 50 of our community leaders”
▶ Watch at ~1:32:00approx.
Skip CoachCoinednewsletter · Nikhyl Singhal
“I do have this mailing list called skip.coach where we share our wisdom to a broader audience.”
▶ Watch at ~1:33:00approx.
The SkipCoinedpodcast · Nikhyl Singhal
“The Skip is the name of the podcast and newsletter and skip.show takes us to both.”
▶ Watch at ~1:34:00approx.
SubstackMentionswebsite · Substack Inc.
“And then you also have your Substack.”
▶ Watch at ~1:34:00approx.
Apple PodcastsRecommendssoftware · Apple Inc.
“you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app.”
▶ Watch at ~1:34:30approx.
SpotifyRecommendssoftware · Spotify
“you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app.”
▶ Watch at ~1:34:30approx.
Lenny's PodcastCoinedpodcast · Lenny Rachitsky
“You can find all past episodes or learn more about the show at lennyspodcast.com.”
▶ Watch at ~1:35:00approx.

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 5

Hot Take00:00

Why Half of PMs Are in Trouble: The 'Information Mover' Is Becoming a Dinosaur

Nikhyl splits product managers into two camps: 'information movers' who framed and relayed information up the org, and builders who like to make things. He argues AI is obsoleting the information-mover skill, and roughly half of today's PMs grew up with that as their superpower. Those people are the ones now most at risk.

PMs historically fell into archetypes; the 'information mover' was a dominant one
AI is targeting exactly the mechanical, information-shuffling parts of the job
About half of product people built their careers on the now-fading skill
The other half got into product because they like to build — those people are wanted

“The information mover is essentially going to become a dinosaur.”
Nikhyl Singhal · 00:00

“And I think about half of the product people that were kind of that grew into the industry, you know, have that skill and superpower.”
Nikhyl Singhal · 25:30

#product-management#careers#ai#future-of-work

Hot Take16:30

In Two Years There Won't Be Any More Bad Software

Nikhyl's optimistic prediction: the flood of mediocre apps — the 15 half-broken apps running his house, the unmaintained side-project software companies ship — will get fixed automatically. A 'super skill' will run against everything in the app store and rebuild it to be more consistent, secure, and maintainable, because now anyone can just tell Claude to fix it.

Most bad software was built by engineers at companies that don't care about product
Those apps never get monitored, and things silently break
AI coding tools give every company access to a top-tier engineer
A prediction/wish: bad software largely disappears within two years

“I think that in 2 years, I think there won't be any more bad software.”
Nikhyl Singhal · 16:30

“someone's going to basically sit down and tell Claude to fix it and it's just going to fix it.”
Nikhyl Singhal · 17:30

#ai#software#predictions#ai-tools

Hot Take21:00

Google Only Really Needed About 9% of Its People

Nikhyl recalls a Google-era thought experiment: how many people are actually needed to hit the numbers? The intuitive answer is ~90%, but he argues it's closer to 9% — maybe 500 people to keep the lights on versus the 25,000–40,000 employed. Companies over-hired to expand and try new things, and now they're re-examining whether that headcount pays off.

A team of 20,000–40,000 could arguably run on ~500 core people
Companies hire to expand and experiment, not just to keep the lights on
A 'judgment day' has arrived on whether growth-era headcount was worth it
AI requires a different skill set than the staff they scaled up

“You know, probably you need like 500 people to keep the lights on and to build that business. You don't need 25, 30, 40,000 people.”
Nikhyl Singhal · 21:30

#hiring#layoffs#ai#org-design

Hot Take25:00

If You Don't Love Building Stuff, You're in Trouble

Nikhyl's blunt dividing line: builders will have the time of their lives, and 'builders wanted' will be the tagline of the next couple of years. Engineers, designers, and marketers who build will move into product; the lines between functions blur. But the roughly half of people who never loved building — who valued communication and team-building — may need to leave tech.

'Builders wanted' is the tagline for the next few years
Builders will invade other functions and the lines between roles blur
Non-builders who joined for lucrative, communication-based roles are exposed
Some may need to build outside tech or leave the industry entirely

“if you don't love building stuff, you're in trouble.”
Nikhyl Singhal · 30:00

“And I think builders wanted is going to be the big tagline for the next couple of years.”
Nikhyl Singhal · 26:00

#careers#builders#product-management#ai

Hot Take44:00

In Your Power Years, the Goal Is to Equally Disappoint Everyone

Nikhyl describes the brutal squeeze of mid-career 'power years': you have maybe 6–12 hours to give against 20 hours of demand from work, kids, aging parents, partner, health, and friends. His dark 'prioritization mechanism' is to disappoint everyone equally rather than sacrifice one group — and now reinvention piles on top of an already-impossible time budget.

Power years bring peak energy but also kids, aging parents, and health issues
Demand (~20 hours) vastly exceeds available time (6–12 hours)
The coping 'algorithm': disappoint everyone equally, not one group
Being told to also reinvent lands on an already-overloaded life

“your goal when you're in your power years is to equally disappoint everyone in your life.”
Nikhyl Singhal · 44:00

“It's I need to equally disappoint everyone.”
Nikhyl Singhal · 44:30

#careers#work-life#time-management#mid-career

Explainer· 4

Explainer03:30

A Renaissance for Product — With a Side of Total Exhaustion

Nikhyl frames the current moment as a genuine renaissance: builders can ship directly, comp is at all-time highs, and product people are having fun again. But it comes with fatigue he says he's never seen before, because nothing stays constant — a way of working can be obsolete three months later. The result is joy and burnout at the same time.

Builders now have a direct connection between their ideas and customers
Compensation for the strongest builders is at an all-time high
The pace means skills go stale in months, not years
Mid-career people in their 'power years' feel this stress most acutely

“I have I've never seen as as uh industry that's more tired than they are now.”
Nikhyl Singhal · 06:30

“So, I think there's joy, but there's fatigue in a way that I haven't quite seen before.”
Nikhyl Singhal · 08:30

#product-management#burnout#careers#ai

Explainer22:00

Shed 30,000, Hire 8,000 — All AI-First

Nikhyl predicts the next 12–24 months bring massive layoffs followed by massive rehiring, but not one-for-one. A company might cut 30,000 and hire 8,000, with the new hires all AI-first. The people let go are a mix of roles that didn't pay off and a deliberate reset toward a much lighter, differently-skilled payload.

Expect massive shedding of staff followed by massive rehiring
The math is asymmetric — far fewer rehired than let go
New hires will be uniformly AI-first
Cuts reflect both underperforming headcount and a strategic reset

“you might see a company shed 30,000 and hire 8,000. But the 8,000 people they're going to hire are going to all be AI first.”
Nikhyl Singhal · 22:30

#layoffs#hiring#ai#careers

Explainer14:30

When Change Gets Cheap, Judgment Becomes Everything

As the cost of testing and changing product drops, Nikhyl expects 10–100x more possible changes than ever — which makes judgment paramount. He defines judgment concretely: evaluating whether a change is good or bad, whether it fits the system and brand, and whether it's worth building and releasing. It's the old 'system skill,' now the core of the role.

The cost of testing and changing product is collapsing
Expect 10–100x more proposed changes than before
Judgment = deciding if a change is good, fits the system, and is worth shipping
You can't build 100 custom versions — it hurts brand and maintainability

“And so, when things are changing that rapidly, that judgment piece becomes like pretty much paramount.”
Nikhyl Singhal · 15:30

“So, when customers are asking for things, when you're trying to think through how do you build something that's sustainable, differentiated? That's judgment.”
Nikhyl Singhal · 16:00

#product-management#judgment#ai#decision-making

Explainer45:30

The Shadow Superpower: Masters of the Old Game Struggle Most

Nikhyl's counterintuitive observation: the people who were best at the old way of working find reinvention hardest. Their mastery becomes a 'shadow superpower' — their whole world says the old system works, so they don't recognize the new one, and their employer keeps praising them. The weaker performers, by contrast, are more eager to change because what they were doing wasn't working anyway.

The best at the old game have the hardest time reinventing
Mastery blinds you: 'this is working for me' hides the new system
Employers reinforce the trap by rewarding the old strengths
Weaker performers change more readily — they have less to lose

“the the ones that mastered the old game, find it the hardest to go through this reinvention stage.”
Nikhyl Singhal · 45:30

“And so, the weaker you are, the more excited you are about changing.”
Nikhyl Singhal · 46:00

#reinvention#mindset#careers#change

Tool· 1

Tool58:30

Nikhyl's AI Stack: Claude, Codex, and Agents That Run His Community

Nikhyl shares his hands-on AI stack. He's been mostly all-in on Claude the last three months after a stint pushing Codex hard for its high-reasoning output, and prefers to standardize on one tool. He builds web properties and agents for his community — matching members to meet each other, aggregating jobs his heads of product are hiring for, and a content agent trained on his material.

Mostly on Claude for the last three months, after a month heavy on Codex
Prefers to standardize rather than switch tools constantly
Built an agent that matches 100+ community members to meet each other
Uses agents for recruiting pipelines and content generation trained on his work

“I find it hard to switch between tools, so I try to standardize to be to be direct.”
Nikhyl Singhal · 59:00

“Now, I write software to do that. I write an agent that goes in and actually does matching.”
Nikhyl Singhal · 1:00:00

#ai-tools#claude#codex#agents

Takeaway· 5

Takeaway37:00

Your Fancy Logos May Now Hurt You

Nikhyl flags a surprising shift: brand-name employers on a resume matter far less than how modern you are at actually delivering product. If a big brand builds in a way that's already outdated, six years there can leave you feeling alien to how product works now. Interviews are moving to scenario questions — what tools you use and how you think — not what you shipped five years ago.

How modern you are now beats the prestige of past employers
A big brand working in outdated ways can actively hurt you
Interviews shift to 'what tools, what judgment, how do you think?'
At some giants, past achievements are hard to even translate to today's work

“your brands don't matter as much as how modern you are in your ability to deliver product.”
Nikhyl Singhal · 37:00

“how modern you are now becomes the career advice, not did you pick up the established brands”
Nikhyl Singhal · 38:30

#careers#hiring#personal-brand#interviews

Takeaway46:30

The #1 Skill Now Is Reinvention — Cross the Threshold

Nikhyl argues humans are wired to resist change, and the single most important move is to consciously prioritize staying modern above everything else. He calls reinvention itself a skill and says the one takeaway from the whole conversation is that every listener must find it in themselves to cross the mental threshold and embrace continuous reinvention.

Humans are trained to minimize change as they age
Reinvention is itself a learnable skill, not a one-time event
The core move is deciding to prioritize staying current above all else
It takes courage and belief to cross that mental threshold

“you have to have the courage. You have to believe.”
Nikhyl Singhal · 46:30

“every person listening to this podcast needs to find it in themselves to cross the threshold around embracing reinvention.”
Nikhyl Singhal · 47:00

#reinvention#careers#mindset#change

Takeaway54:00

Finding Your First 'Moment of Joy' Is the #1 Advice

Nikhyl's top practical advice: find the moment of joy where you first build something with the new tools — a chief-of-staff app for your inbox, controlling your house lights, testing a business idea. That moment flips people from fear to joy, and joy is the biggest antidote to burnout because the work stops feeling like work. Leaders should hunt for and spread those moments in their teams.

Everyone's first 'moment of joy' is personal and specific
It marks the crossing from fear to joy in adopting new tools
Joy is the biggest antidote to burnout — the work stops feeling like work
Leaders should surface joy in their staff because it's contagious

“And joy is the biggest antidote to burnout and it creates opportunity because the moment you have joy, the moment it doesn't feel like work.”
Nikhyl Singhal · 56:00

“that is the number one piece of advice is have you found joy?”
Nikhyl Singhal · 57:00

#burnout#motivation#ai-tools#leadership

Takeaway1:01:00

A Great Engineer Obsoletes Themselves From Everything They Do

Early in his career, Nikhyl asked the best engineer he knew to define a great engineer; the answer was someone who obsoletes themselves from everything they do. He's carried it to every job, and AI supercharges it — you can now obsolete your own tasks just by asking. His entire personal AI stack is oriented around obsoleting anything and everything he does daily.

The definition of a great engineer: someone who obsoletes themselves
Many resist this, fearing it eliminates their job
Nikhyl's view: obsoleting yourself leads to a better job
AI makes self-obsolescence achievable just by asking the tools

“That's the definition of a great engineer.”
Nikhyl Singhal · 1:01:30

“my stack is what can I do to obsolete anything and everything I do on a daily basis.”
Nikhyl Singhal · 1:02:00

#engineering#ai#career-philosophy#productivity

Takeaway1:07:00

Swallow Your Ego and Play for the 'Skip' Job

Nikhyl's advice for staying relevant: swallow your ego, be willing to go hands-on and even take something smaller to get through the transition. Then stay long-term focused. His community is named 'the Skip' because the best career advice is never about the next move but the move after — protecting your future skip opportunity by staying current now.

Don't insist on roles at your old seniority level — go hands-on
Be willing to take something smaller to get through the transition
Stay long-term focused: the cream rises once you reach the new world
The 'skip' is planning for the move after the next one

“you have to swallow your ego.”
Nikhyl Singhal · 1:07:00

“the best career advice is always not thinking about the next move, but the move after.”
Nikhyl Singhal · 1:08:30

#careers#ego#long-term#advice

Key ideas

Frameworks in this episode

Builder vs. Information Mover

Crossing the Chasm from Fear to Joy

Equally Disappoint Everyone

Obsolete Yourself

The Skip — Plan the Move After Next

People & resources mentioned

People · 8

Resources · 40

Insights & moments

◆Hot Take· 5

Why Half of PMs Are in Trouble: The 'Information Mover' Is Becoming a Dinosaur

In Two Years There Won't Be Any More Bad Software

Google Only Really Needed About 9% of Its People

If You Don't Love Building Stuff, You're in Trouble

In Your Power Years, the Goal Is to Equally Disappoint Everyone

✶Explainer· 4

A Renaissance for Product — With a Side of Total Exhaustion

Shed 30,000, Hire 8,000 — All AI-First

When Change Gets Cheap, Judgment Becomes Everything

The Shadow Superpower: Masters of the Old Game Struggle Most

✦Tool· 1

Nikhyl's AI Stack: Claude, Codex, and Agents That Run His Community

▲Takeaway· 5

Your Fancy Logos May Now Hurt You

The #1 Skill Now Is Reinvention — Cross the Threshold

Finding Your First 'Moment of Joy' Is the #1 Advice

A Great Engineer Obsoletes Themselves From Everything They Do

Swallow Your Ego and Play for the 'Skip' Job

Hot Take· 5

Explainer· 4

Tool· 1

Takeaway· 5