In 2026, 55.7% of surveyed tech professionals recognize experiencing significant work burnout, up from 44.7% the previous year. Meanwhile, those feeling optimistic about their career prospects have decreased from 54.8% to 48.7%. Data from the second annual survey by Lenny’s Newsletter on tech workers illustrate a sector where artificial intelligence is boosting productivity, but also elevating expectations, workload, and professional uncertainty.
The key points about burnout in the tech sector in 30 seconds
- 55.7% of respondents report significant work burnout, an increase of 11 points from 2025.
- Only 48.7% maintain an optimistic outlook on their careers.
- 82% believe that AI increases their productivity.
- Just 22% fear directly losing their jobs to AI; more concern is about working more for the same pay.
- Layoffs and rapid role transformations add pressure to an already tense job market.
The survey also sheds light against the idea that tech employees’ main fear is being replaced by machines. Only 22% cite losing their job directly to AI as a concern. A more immediate worry for 51% is that technology will be used to demand more work for the same salary. Another 46% fear being caught in an unsustainable work pace, and 41% think their work quality might deteriorate.
Therefore, the issue isn’t just about a potential mass replacement of engineers by algorithms. For many employees, the change is already happening within their workday: tools enable faster completion of certain tasks, and this productivity gain may eventually set new standards for how much each person should produce.
AI increases productivity but doesn’t necessarily reduce workload
This contradiction is clear in the study results. A 82% of respondents say AI makes them demonstrably more productive, yet at the same time, the percentage of professionals feeling burned out continues to grow.
Conducted by Lenny Rachitsky and Noam Segal, the survey gathers responses from professionals in engineering, product, design, research, marketing, data, and sales. While its findings aren’t a comprehensive statistical portrait of all U.S. workers, they offer insight into how morale is evolving within a broad tech professional community.
The share of those experiencing significant burnout—defined in the study as feeling moderately, very, or completely exhausted—rose from 44.7% in 2025 to 55.7% in 2026. Over a quarter, 26.2%, identify as being in the ‘very’ or ‘completely’ exhausted categories.
Optimism has also declined. In 2025, 54.8% viewed their career futures favorably; in 2026, that number drops to 48.7%.
This doesn’t mean most dislike their jobs. 42.6% say they enjoy their work a lot or very much, while 36.7% enjoy it moderately. The situation is complex: someone may still be interested in their profession but feel the pace at which they’re working is unsustainable.
An especially notable result: 53% would advise someone starting now against choosing the same profession, even though some of these workers remain optimistic about their own trajectories.
Two very different perspectives on the arrival of AI
The research finds a divide between those who feel AI is expanding their capabilities and those who believe it diminishes the value of their professional experience.
This perception correlates strongly with how employees view their careers. Professionals who see AI as enabling them to do more and improve their work tend to have higher confidence and optimism. Conversely, those who believe the technology questions their skills or position within their company often feel less secure.
This situation coincides with ongoing layoffs in the U.S. tech industry.
Layoffs, which began prior to the current AI boom, are not solely due to AI. Major tech companies ramped up hiring during the pandemic and subsequently engaged in restructuring and cost-cutting. However, in 2026, automation via AI is increasingly a topic in discussions about productivity and future staffing needs.
According to Layoffs.fyi, over 120,000 tech roles have been affected worldwide in 2026, based on Business Insider data. Notable companies that made layoffs include Meta, Google, Amazon, Oracle, and Salesforce.
It’s important to avoid oversimplified conclusions like “all those jobs disappeared because of AI.” Companies are cutting roles for various reasons, and attributing all layoffs to one technology is unsupported by the available data.
What is clear is that the labor market involves simultaneous layoffs, restructuring, and increasing automation of tasks—a scenario where workers are navigating both job insecurity and evolving technological tools.
Silicon Valley psychologists identify a new type of uncertainty
Change is also affecting mental health professionals working with tech workers.
Nick Sanchez, founder and clinical director of Silicon Valley Therapy, notes that burnout is common among high performers he treats. In a recent interview, he mentioned working weekly with around 18-20 clients, including executives, founders, and tech professionals.
He describes “AI burnout”, a fatigue linked to environments where AI tools allow multiple tasks to stay open simultaneously. While technology can save time per task, it also fragments attention, leading to persistent multitasking.
Job insecurity adds another layer of stress.
Sanchez told Business Insider that six of his 25 clients lost their jobs in the past two years, with several actively seeking new roles for over six months. Though this reflects individual cases, it offers insight into some of the anxieties driving therapy sessions.
Other specialists observe more specific issues among those involved directly in AI development or deployment.
Therapist Annie Wright refers to “complicity grief”, describing the distress of workers involved in creating or implementing AI technologies that eventually led to team reductions or job transformations.
There are also concerns among employees who have achieved long-sought goals. Wright describes cases of “liquidity anxiety” among employees holding significant company shares that haven’t yet liquidated. Post-IPO or sale, the realization of wealth may paradoxically lead to dissatisfaction—what she calls the “arrival paradox.”
Demand for this specialized support is high. Wright reports her schedule is full, charging $950 per hour, with a waitlist of six to twelve months.
These are individual clinical experiences—not proof of a crisis across Silicon Valley—but combined with broader survey data, they highlight a tension extending beyond just fear of job loss.
The question emerging from these findings is what happens to that saved time.
If instead of reducing workload, the time is used for more tasks, higher expectations, and goals that stay the same or increase, technological productivity gains do not necessarily lessen pressure on individuals.
This may be one of the labor paradoxes of the current AI race: workers can produce more than ever thanks to technology, but feel less confident they can sustain this pace throughout their careers.
Frequently Asked Questions
What percentage of tech workers suffer from work burnout?
Lenny’s Newsletter reports that in 2026, 55.7% of tech professionals indicate experiencing significant burnout, up from 44.7% in 2025.
Do tech workers believe AI will cost them their jobs?
It’s not their primary concern. Only 22% are directly worried about job loss due to AI, while 51% fear being asked to work more for the same pay, and 46% worry about an unsustainable workload.
Does AI make workers more productive?
82% of participants affirm that AI measurably increases their productivity. However, the study also shows that this productivity boost correlates with higher burnout levels.
Is confidence in tech careers declining?
Yes. The percentage of those optimistic about their career prospects dropped from 54.8% in 2025 to 48.7% in 2026.
