Back to Lenny's Podcast

Why the tech workforce is quietly splitting in two | Annual AI sentiment survey (Noam Segal)

Lenny's PodcastJuly 12, 20261h 36m
Topics58
Tech Worker Burnout and AI Impact Survey Overview0:00Survey Context and Background1:30Survey Methodology and Scale3:00AI Confidence Theater and Big Picture Takeaway5:30The Bifurcated Workforce7:00AI Impact on Professional Identity8:30Destabilized and Diminished Groups10:00Effect Size of AI Identity Impact11:00Career Optimism, Burnout, and Layoff Worry by Identity13:30Four Archetypes of Tech Workers14:30Relationships Over Technology Focus18:30Burnout and Optimism Trends Year Over Year19:30Shipping Faster and Burnout Connection21:30Enjoyment of Work Remains High23:00Layoff Worry Statistics25:00Ambivalence and Clashing Emotions26:30The Addictive Nature of AI Technology27:00NPS and Career Recommendations29:30NPS Findings Across Roles31:33IC vs Executive Experience34:00Career Uncertainty35:30The Ladder Metaphor37:01Role-Specific Concerns38:31Role Perspectives40:00Perception vs Reality41:02Current Satisfaction vs Future Outlook42:00AI Impact on Productivity and Quality45:32Quality vs Speed46:31Cognitive Rot48:00Deliberate Practice50:33Self-Efficacy51:30Key Statement52:31Primary Concerns53:00Key Statement55:31Emotional State56:01Smiling Exhaustion and Ambivalence57:49Rejecting Black-and-White Thinking59:00Functions Having the Worst Time1:01:01Design as Differentiator1:04:30Data Analysts Most Worried1:05:30Happiest People: Founders and Small Companies1:06:30Manager Effectiveness1:12:33Current State of Tech Industry1:19:00Living Through History1:22:00Advice for Employees1:25:01Employee Action Steps1:26:32Focused AI Adoption Strategy1:27:00Recognizing Scope Creep1:27:30Manager Relationship Priority1:28:00Career Path Alternatives and Mentorship1:28:31Leadership Investment in Management1:29:01Managing Productivity Expectations1:29:30Attention to Disproportionately Affected Roles1:30:31Burnout Recognition and Response1:31:00AI Guilt Phenomenon1:32:00Addressing AI Guilt1:33:02Research Participation Call1:34:00Contact and Resources1:34:30
In a Nutshell

The tech workforce is splitting into two roughly equal groups: one feeling amplified and energized by AI, the other feeling destabilized or diminished, with AI identity impact outweighing every other job factor including manager quality. Burnout rose sharply to 55% while optimism fell to 49%, driven by scope creep—doing more for the same pay—rather than job loss fears, which ranked near the bottom of concerns. Designers, researchers, and data analysts are hit hardest with negative NPS scores and highest anxiety, while founders and small-company workers remain most positive; the core advice is to focus AI use narrowly, watch for unsustainable productivity expectations, and prioritize manager relationships.

AI-Generated Notes

These notes were generated by AI and may contain inaccuracies.

Burnout at work is a major problem and AI could add to this already overwhelmed employee problem. The honeymoon period with AI is over. When people are asked what they are afraid of, losing their job to AI is actually second to last. What rose to the top is the expectation to do more for the same pay. Burnout is increasing significantly. Optimism is declining. Half of the people in tech are feeling incredible and the other half report their brain is rotting and their work feels worse. Elon had an interesting way of describing it: we are definitely living in a simulation when we are about to start building data centers in space and AI is going to be as smart as human.

Noam Segal worked with Lenny at Airbnb for many years where he was Lenny's research partner. Since then, he went on to be a research leader at Intercom, Twitter, Wealthfront, Meta, Zapier, and Figma. Over the past couple of years, they partnered on multiple research projects. The most ambitious of which has been a tech worker sentiment survey, which they plan to run every year. This is the second time they ran it. This is the largest survey of its kind looking at how people in tech feel about their jobs, AI, layoffs, burnout, and the future of their careers.

This is the second time running this survey, which is unique in the tech industry. Last year when they ran the similar tech sentiment survey, the title was "burnt out but optimistic." They were seeing fairly high levels of burnout but also fairly good levels of optimism about where things are going. They followed up on the burnout point and created the ARMOR framework. This year they surveyed about 6,000 people from product, engineering, design, research, marketing, and pretty much any role in tech.

Sign in to read the full notes

Get access to AI-generated notes, topic timestamps, and more.