How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal) · Lenny's Podcast: Product | Career | Growth summary

Key takeaways

AI has significantly split the tech workforce into two groups: those energized and thriving, and those disoriented or resentful.
Burnout among tech workers has increased sharply, reaching over 54%, driven by relentless work pace and continuous AI-driven change.
Despite challenges, many workers still find joy and new opportunities in AI, though mental fatigue and cognitive rot are emerging concerns.
The greatest fear among tech workers is not AI replacing their jobs but being overworked and underpaid—doing more for the same compensation.
Effective management is the most powerful lever to reduce burnout and improve job satisfaction, yet many managers are rated as ineffective.
The industry is in a state of chaos and flux, filled with conflicting emotions—excitement, uncertainty, anxiety, and hope.
Founders and small companies tend to be the happiest and most optimistic, while larger organizations feel more burnout and worry.
Investing in management, focusing on meaningful work, and fostering community and connection are key strategies for navigating this tumultuous period.

Summary

Introduction and Context: The State of Tech and AI in 2026

The episode begins with an overview of the current landscape in tech, emphasizing how AI is significantly impacting the industry. Burnout and work overload are increasing, and there's a split in the feelings of tech workers—half are energized and optimistic, while the other half are disoriented and negative. A survey of around 6,000 tech workers reveals that AI has nearly doubled the feelings of burnout and diminished optimism about careers, with a notable bifurcation in emotional and professional responses to AI. Elon Musk’s analogy of living in a simulation underscores the surreal and pivotal moment technology and society are experiencing.

The AI Workforce Divide and Emotional Archetypes

The conversation discusses how AI has divided the tech workforce into two nearly equal halves: those thriving and energized, feeling amplified by technology, and those feeling destabilized, disoriented, or resentful. Noam Siegel describes four archetypes—Energized, Conflicted, Disoriented, and Resentful—highlighting their distinct feelings about AI, work, and future prospects. The discussion emphasizes that a large number of workers are feeling overwhelmed, exhausted, and worried about job stability, with many believing that AI is lowering work quality even as it accelerates productivity.

Burnout Trends and Positive Aspects Amidst Challenges

Burnout has surged to over 54% among tech workers, marking a sharp increase from previous years, driven by an overstimulating pace of work and continuous technological change. Despite these pressures, a silver lining is that many workers still find joy and excitement in their roles, especially those exploring new possibilities in AI and product creation. A phenomenon called 'smiling exhaustion' is described, where workers are exhausted yet motivated by the thrill of building and exploring, even as mental fatigue persists.

Layoffs, Worries, and the Career Landscape

Despite widespread fears of job loss to AI, the survey shows that the most prominent concern for tech workers isn't layoffs but the expectation to produce more for the same pay—a squeeze driven by relentless work pace and AI integration. Many respondents feel that climbing the career ladder is becoming harder as the traditional 'rungs' of progress disappear. The discussion highlights that younger and lower-level workers, including researchers and designers, feel especially anxious, with many hesitant to recommend entering the industry now.

The Impact of Management and Company Size

Effective management emerges as the most critical factor influencing worker well-being, with highly effective managers significantly reducing burnout and increasing job satisfaction. However, only about a quarter of workers rate their managers as highly effective, and larger companies tend to have more burnout, worry about layoffs, and lower willingness to recommend their roles. The episode emphasizes investing in managerial quality as a key lever to improve morale and retention.

Overall Industry Ambivalence and Future Outlook

The tech industry is characterized by chaos, flux, hype, and uncertainty, described through a vivid word cloud reflecting conflicting emotions—excitement, confusion, anxiety, and hope. Elon Musk's comment about living in a simulation is referenced to underscore the surrealness of current times. Despite the turbulence, there's a shared hope that the industry will navigate this period successfully, with a reminder that people are at the core of all technological progress. The episode concludes with advice for individuals and leaders to focus on relationships, manage workload expectations, and foster community resilience.

Show notes

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 podcast@lennyrachitsky.com.

—

Lenny may be an investor in the companies discussed.

To hear more, visit www.lennysnewsletter.com

How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)