Overview of How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)
Lenny Rachitsky and Noam Segal break down the second annual tech worker sentiment survey, based on responses from roughly 6,000 people across product, engineering, design, research, marketing, and other tech roles. The big story: AI is not just changing how people work — it’s splitting the tech workforce into two very different emotional camps. Roughly half feel energized and amplified by AI, while the other half feel destabilized, diminished, burned out, and uncertain about their future. At the same time, burnout is rising, optimism is falling, and the most common fear is no longer “AI will take my job,” but “I’ll be expected to do more for the same pay.”
Top Takeaways
1) AI is bifurcating the tech workforce
AI has an outsized effect on professional identity and job sentiment — more than role, level, company size, or company type.
- 50% feel amplified by AI
- 27% feel their role is being redefined
- 14% feel destabilized
- 5% feel diminished
- Only 3% say AI hasn’t changed their identity at all
The emotional split is stark: one half is excited and empowered; the other half is anxious and disoriented.
2) Burnout is rising and optimism is falling
Compared with last year:
- Significant burnout rose from 44.7% to 54.7%
- Career optimism fell from 54.8% to 48.7%
This suggests AI is not reducing pressure — it’s often increasing it by accelerating output expectations and adding constant learning demands.
3) The biggest fear is overwork, not replacement
When asked what they’re afraid of, tech workers were more worried about:
- Doing more for the same pay
- An unsustainable pace of work and change
Fear of losing a job to AI ranked near the bottom of concerns, even though layoff anxiety is still widespread.
4) AI makes people feel more productive, but not necessarily better
A huge majority say AI improves their performance:
- 97.2% say AI makes them better at their job
- Nearly 50% say it makes them very much/extremely better
But deeper responses tell a different story:
- People can do more faster, but not always higher quality work
- Some report reduced judgment and thinking:
- “My brain is rotting”
- “My work feels worse”
So the productivity gains are real, but many believe the quality of work and sharpness of thinking are declining.
5) Layoff anxiety is high
- 72% worry to some degree about being laid off
- 41.2% are at least moderately worried
Many feel they may be helping build the very systems that could eventually replace them.
6) No one is eager to recommend their role
The net promoter style question produced a striking result: no group is positive enough to be promoters of their role in tech right now.
The least likely to recommend their role:
- Design
- Research
- Data/analytics
Even founders — despite being the happiest group overall — are not recommending the role to others.
7) Founders and small-company employees are happiest
The most positive groups remain:
- Founders
- People at smaller companies
They report:
- Higher optimism
- Lower burnout
- Lower layoff worry
- More AI excitement
Still, even founders show meaningful burnout, and they’re not eager to tell others to follow in their footsteps.
8) Managers matter enormously
Manager quality has one of the largest effects on well-being:
- Better managers = more enjoyment and less burnout
- Only about 25% rate their manager as highly effective
- About 36% rate their manager as ineffective
The message is clear: improving management is one of the strongest levers for retention and morale.
9) Larger companies are feeling worse
As company size increases, sentiment generally worsens:
- More burnout
- Lower optimism
- More layoff worry
- Less willingness to recommend the role
The effect is remarkably linear: the bigger the company, the rougher people tend to feel.
10) The tech industry feels chaotic, exciting, and unsustainable all at once
The word cloud and open-ended responses show a mixed emotional landscape:
- Positive: curiosity, excitement, relief
- Negative: overwhelmed, anxious, tired, uneasy
- Neutral/mixed: conflicted, hopeful
The dominant vibe is ambivalence — what Noam calls “smiling exhaustion.”
Who Is Struggling the Most?
Roles with the toughest sentiment
The most negative sentiment clusters around:
- Design
- Research
- Data/analytics
These roles show:
- More destabilization/diminishment from AI
- More worry about AI-driven displacement
- Lower likelihood of recommending the role to newcomers
Roles with more confidence
- Founders
- Executives / VPs / Directors generally feel more stable than ICs
- Some PMs are relatively less negative than other roles
What the Survey Says to Do About It
If you’re an employee
- Go deep on a few AI use cases instead of trying to be a generalist everywhere
- Watch for the “squeeze”: more work, same pay
- Talk to your manager about scope and expectations
- Invest in the manager relationship — it matters enormously
- If you’re early career, seek strong mentorship
- Consider whether a smaller company or founding path might better fit your appetite for agency
- Don’t ignore burnout — check your actual state and adjust if needed
If you’re a company / leader
- Invest in manager training and management quality
- Don’t let AI raise expectations faster than teams can sustainably absorb
- Protect the early-career ladder; junior people need real pathways to grow
- Be careful not to over-privilege speed over thoughtfulness
- Pay attention to design and research, which are feeling especially strained
- Recognize that AI is affecting people differently — the same workplace can feel empowering to some and destabilizing to others
Notable Insight on AI Guilt
Noam also highlights a growing sense of AI guilt, especially among earlier-career workers:
- Some feel like using AI is “cheating”
- This guilt declines with seniority
- It’s especially visible in product marketing and data/analytics
His advice: don’t feel guilty for using AI — learn to use it well. The technology is only going to get better.
Closing Thought
The episode’s core message is that AI has created a massive emotional split in tech. It is simultaneously making work more exciting and more exhausting, more empowering and more destabilizing. The right response, according to Noam, is to focus less on hype and more on people: your teammates, your manager, your own burnout levels, and your long-term career trajectory.