How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)
Noam Segal, a research leader and certified coach, joins Lenny to discuss the results of their annual Tech Worker Sentiment Survey. The survey reveals a tech workforce split by AI, surging burnout, declining career recommendations, and the top fear of being squeezed to do more for the same pay, alongside actionable advice for employees and leaders.
Deep Dive Analysis
15 Topic Outline
Introduction to Noam Segal and the Tech Worker Sentiment Survey
AI's Impact: The Tech Workforce Split in Half
The Four Emotional Archetypes of Tech Workers
Burnout is Surging and Optimism is Declining
Layoff Worries and the Enjoyment of Work
Career Recommendation NPS Score for Tech Roles
AI's Impact: Faster Productivity, Lower Quality, Cognitive Rot
The #1 Fear: Doing More for the Same Pay
The Emotional Landscape and 'Smiling Exhaustion'
Designers and Researchers: The Most Negative Groups
Founders and Small Companies: The Happiest Groups
Managers: The Single Biggest Lever on Employee Well-being
The Chaotic and Unstable State of the Tech Industry
Actionable Advice for Employees and Leaders
Addressing AI Guilt and Closing Thoughts
5 Key Concepts
AI Identity Stance
This framework describes how AI has shifted individuals' professional identities, categorizing them into amplified (positive), redefined (uncertain), destabilized (anxious), and diminished (negative).
Four Tech Worker Archetypes
These are distinct emotional profiles of tech workers: Energized (excited by AI), Conflicted (fun but uncertain), Disoriented (role shifting, unclear path), and Resentful (pressured, checked out).
Smiling Exhaustion
A phenomenon where tech workers feel reborn and excited by AI's capabilities and output, but are simultaneously exhausted by the relentless pace, constant learning, and lack of an 'off switch' in the industry.
Cognitive Rot
The decline in an individual's own thinking, judgment, and self-efficacy due to over-reliance on AI models, leading to a passive acceptance of AI outputs rather than critical engagement.
Net Promoter Score (NPS)
A metric typically used to gauge customer loyalty, adapted here to measure how likely tech workers are to recommend their role or the tech industry to others, ranging from -100 (detractors) to +100 (promoters).
9 Questions Answered
AI has shifted nearly everyone's professional identity, with 50% feeling amplified, 27% feeling redefined, 14% destabilized, and 5% diminished, indicating a significant and varied emotional response.
Tech workers fall into four archetypes: Energized (41%), Conflicted (35%), Disoriented (12%), and Resentful (12%), reflecting a wide spectrum of feelings from excitement to pressure and uncertainty.
Yes, significant burnout has surged from 44.7% in 2025 to 54.7% in 2026, while optimism about the future of roles and careers has fallen from 54.8% to 48.7% in the same period.
No, across all roles, including founders, product managers, engineers, designers, and researchers, tech workers are not recommending their current roles to people entering the industry today.
While 97.2% of people feel AI makes them better, this often means doing more faster, not necessarily producing higher quality work, and it comes with a concerning cost to thinking and judgment, leading to 'cognitive rot'.
The dominant fear is the expectation to do more for the same pay, followed by the unsustainable pace of work and technological change, rather than the fear of losing one's job to AI directly.
Manager effectiveness has a massive impact; highly effective managers lead to dramatically lower burnout and 65% higher job enjoyment, but only about 25% of managers are rated as highly effective.
Yes, it is natural for positive emotions like curiosity and excitement to coexist with negative ones like feeling overwhelmed, conflicted, tired, or anxious, as the industry is undergoing a massive and complex shift.
Founders and people working in smaller companies consistently report the highest optimism, lowest burnout, and lowest layoff worry, making them the happiest groups in tech.
3 Actionable Insights
1. Prioritize Human Connection Over AI Focus
If you feel energized by AI, redirect some of that energy towards building relationships at work, supporting peers, and collaborating with those who perceive the technology differently, rather than solely focusing on new AI developments.
2. Combat Cognitive Rot with Deliberate Practice
Actively resist the tendency to offload all thinking and judgment to AI. Engage in deliberate practice, thinking, and judgment to maintain and improve your skills, ensuring you meet the rising bar of technology with your own capabilities.
3. Embrace AI Without Guilt
Do not feel guilty about leveraging AI, especially if you are early in your career. AI is a powerful and continuously improving technology, and learning to use it effectively is a valuable skill.
7 Key Quotes
Half of the people in tech are feeling incredible, energized, amplified, excited about the technology and the future of, you know, their role. And the other half feel like the future is unclear. They feel destabilized. They feel diminished.
Noam Segal
AI and air models are the worst today that they'll ever be. They're only getting better.
Noam Segal
The productivity gains are real, but the quality of the work and the sharpness of the person producing it are taking a hit.
Noam Segal
The speed AI unlocked got plowed straight back into expectations. Every gain becomes a new baseline and the people expected to hit it are running out of room to breathe.
Noam Segal
We're in the second inning of a massive shift. No one knows how it will end, but all you can do is keep taking at-bats.
Anonymous Survey Respondent
Tech is manic, half out of touch, clinging to the bandwagon, pouring into the overhype. The other half are exhausted by the first half.
Senior PM
We have to remember that underlying all of this stuff are people, people. We, as people are going through the most massive shift and changes that we ever have in our lives.
Noam Segal
2 Protocols
Employee Strategies for Thriving in the AI Era
Noam Segal- Go deep on specific tasks: Focus on a couple of specific tasks or 'jobs to be done' where AI can be most useful, rather than trying to be a generalist who uses AI for everything.
- Watch out for the 'squeeze': Be aware of increased expectations to do more work for the same pay. Take a burnout test, reflect on your state, talk to your manager, and recalibrate your scope.
- Invest in your manager relationship: Protect and build good communication lines with your manager, as this relationship significantly impacts your well-being.
- Consider smaller companies or founding: If seeking advantages, explore working for a smaller company or starting your own, as these environments show higher satisfaction.
- Seek mentorship, especially early in career: If you're early in your career and feel uncertain, actively seek out mentors, teams, and managers willing to invest in your development.
Leader Strategies for Supporting Teams in the AI Era
Noam Segal- Invest in your managers: Provide manager training and support, as effective managers are the biggest lever for improving employee enjoyment, reducing burnout, and increasing retention.
- Manage the 'squeeze' and expectations: Set realistic expectations for productivity and manage the increased workload driven by AI to prevent unsustainable demands on employees.
- Support early career advancement: Ensure entry-level people have clear paths to advance and grow, as they are often AI-native and valuable, preventing the 'bottom rung of the ladder' from rotting.
- Pay attention to struggling roles: Give extra attention and support to roles like design and research, which are currently experiencing more negative sentiment, recognizing their critical value.
- Acknowledge diverse AI experiences: Understand that AI impacts people differently, lifting some while destabilizing others, and tailor support accordingly.