Lenny's Podcast: Product | Career | Growth
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PodcastLenny's Podcast: Product | Career | Growth
Publisher/creatorLenny Rachitsky
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About this episode
Noam Segal is a longtime research leader across Airbnb, Meta, Twitter, Zapier, Intercom, and Figma, a certified coach, AI builder, and my community research lead. Together, we run the annual Tech Worker Sentiment Survey, now in its second year and one of the largest of its kind: a quantitative study of how people in tech actually feel about their jobs, AI, burnout, and the future of their careers. This year’s survey captured responses from thousands of workers across product, engineering, design, research, marketing, data, and sales, and the results are striking. In our in-depth conversation, we discuss: 1. Why AI has split the tech workforce almost exactly in half—one half that’s thriving, another that’s shaken 2. The four emotional archetypes defining tech workers right now (the Energized, the Conflicted, the Disoriented, and the Resentful) 3. Why burnout has jumped an alarming 11 points in a single year 4. Why nobody in tech would recommend their job to someone entering the industry today 5. The #1 fear in tech right now (it’s not job loss to AI) 6. Why managers are the single biggest lever for employee well-being 7. Concrete advice for what employees and leaders can do right now — Brought to you by: WorkOS —Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury —Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/how-tech-workers-actually-feel-about — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Noam Segal: • X: https://x.com/noamseg • LinkedIn: https://www.linkedin.com/in/noamsegal — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Noam Segal (02:34) About the survey: methodology and scope (06:04) The core finding: AI has split the tech workforce in half (13:03) The AI identity stance (14:40) The four archetypes: Energized, Conflicted, Disoriented, Resentful (19:35) Burnout is surging (and why shipping faster is making it worse) (22:53) A glimmer of hope (24:55) Layoff worries (29:15) The career recommendation NPS score (36:45) The ladder metaphor: rungs disappearing beneath our feet (45:14) AI is making us faster, not better (52:53) The #1 fear: being squeezed to do more for the same pay (55:55) The emotional landscape and “smiling exhaustion” (01:01:02) Designers and researchers: the most negative group two years running (01:06:27) Who’s happiest (01:12:18) Managers: the single biggest lever on well-being (01:18:47) The industry is “chaotic” (01:24:53) What employees and leaders can do right now (01:31:32) AI guilt and closing thoughts — Referenced: • How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026 • How tech’s most resilient workers handle burnout: https://www.lennysnewsletter.com/p/how-techs-most-resilient-workers • Please stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater • Velocity over everything: How Ramp became the fastest-growing SaaS startup of all time | Geoff Charles (VP of Product): https://www.lennysnewsletter.com/p/velocity-over-everything-how-ramp • NPS Is The Worst: https://www.npsistheworst.com • The Terminator : https://www.imdb.com/title/tt0088247 • Skynet: https://terminator.fandom.com/wiki/Skynet • Inside Devin: The world’s first autonomous AI engineer that’s set to write 50% of its company’s code by end of year | Scott Wu (CEO and co-founder of Cognition): https://www.lennysnewsletter.com/p/inside-devin-scott-wu • Devin: https://devin.ai • An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison: https://www.lennysnewsletter.com/p/an-ai-state-of-the-union • Redeploying Fable 5: https://www.anthropic.com/news/redeploying-fable-5 • Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble • Inside Linear: Building with taste, craft, and focus | Karri Saarinen (co-founder, designer, CEO): https://www.lennysnewsletter.com/p/inside-linear-building-with-taste • Building beautiful products with Stripe’s Head of Design | Katie Dill (Stripe, Airbnb, Lyft): https://www.lennysnewsletter.com/p/building-beautiful-products-with • The design process is dead. Here’s what’s replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead • OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape • Elon Musk: ‘Chances are we’re all living in a simulation’: https://www.theguardian.com/technology/2016/jun/02/elon-musk-tesla-space-x-paypal-hyperloop-simulation — Production and marketing by https://penname.co/ . For inquiries about sponsoring the podcast, email [email protected] . — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
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Episode summary
Work burnout is already heavy, and AI can pile on. The hype glow is fading, so I brought on my longtime research partner, Noam Siegel, to unpack our annual tech sentiment survey of thousands across product, engineering, design, research, and more; I’m thrilled about what we found and how it can help.
Thanks for having me. This second-year survey reached roughly six thousand tech workers, and the headline is stark: AI has split the workforce in half, and that identity shift matters far more to how people feel than role, level, or company size.
That rings true. What does the split look like, and what does it predict?
About half feel amplified by AI, while the rest land in buckets like redefined, destabilized, or diminished; only a tiny slice said AI hasn’t touched their professional identity. That stance neatly tracks with lower optimism, higher burnout, greater layoff worry, and a pullback on recommending their role.
You turned that into four archetypes. Walk us through them.
We see the energized builders, the conflicted middle enjoying the work but unsure of the future, the disoriented who feel their role keeps shifting, and the resentful who feel pressured or checked out. If you’re energized, save some of that fuel to support teammates who aren’t.
How are burnout and optimism trending year over year?
Significant burnout climbed notably while optimism about careers fell, even as many still say the day-to-day is enjoyable. People love that they can cross old swim lanes and ship things that once felt out of reach.
And layoff fear?
Most are at least somewhat worried they’ll be cut as AI advances, which feeds a strange mix: the work is thrilling, but the pace and uncertainty are exhausting.
Let’s separate productivity from quality.
Nearly everyone feels AI makes them better, but much of that means more and faster, not higher caliber. The deeper cost is dulled judgment if you accept first drafts without thinking; stay sharp with deliberate practice.
The recommendation shocker was wild.
Across functions, people are reluctant to recommend their role to newcomers, even founders; leaders are a bit warmer than ICs. Think of AI climbing the career ladder rung by rung—those lower down feel the steps slipping, and while many still like their current job, they hesitate to usher others in.
Which functions are having the toughest and smoothest time?
Design and research report the roughest emotions and the lowest willingness to recommend, while data analysts are most anxious about being replaced. This is exactly when craft, taste, and thoughtful research can raise the ceiling; we need that voice.
Who’s happiest, and how does company size factor in?
Founders and small teams report more optimism and less burnout or layoff worry, though they’re not immune. As companies get bigger, the curves move steadily in the wrong direction.
Managers showed up as a massive lever.
An effective manager dramatically boosts enjoyment and reduces burnout, yet too few are rated strong. With flatter orgs and bigger spans, managers are stretched thin; invest in training and support, especially where ratings lag like design and analytics.
Describe the industry vibe right now.
It’s fast, chaotic, and evenly split between excitement and dread; we’re early in a huge transition, so keep stepping up to swing. Above all, remember the constant isn’t models—it’s people—so care for yourself and your teammates.
Alright, what should listeners actually do with this?
If you’re an employee, go deep on a few AI jobs-to-be-done instead of scattering, watch the do-more-for-the-same-pay squeeze and reset scope with your manager, invest in that relationship, consider a smaller team or starting something, and seek real mentorship. If you lead, train managers, set sustainable bars, keep the early-career ladder intact, give extra support to design and research, and plan for AI’s uneven lift across roles.
We’ll link a burnout self-check that’s genuinely useful, and I want to surface one more theme: AI guilt.
Early-career folks, plus product marketing and analytics, often feel like using AI is cheating; that fades with seniority. Treat AI as a tool, learn it well, and drop the shame.
Noam, this project is extraordinary—thank you for doing it with me; where can people find you and help?
Find me on LinkedIn or in Lenny’s Slack, and please join future surveys so we can reflect the industry back to itself with clarity and optimism.
Thanks for listening. Subscribe on Apple Podcasts, Spotify, or your favorite app, drop a rating or review, and find episodes at lennys podcast dot com; see you next time.
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