The first signs of burnout are coming from the people who embrace AI the most

Source: TechCrunch

The most seductive narrative in American work culture right now isn’t that AI will take your job. It’s that AI will save you from it.

That’s the version the industry has spent the last three years selling to millions of nervous people who are eager to buy it. Yes, some white‑collar jobs will disappear. But for most other roles, the argument goes, AI is a force multiplier. You become a more capable, more indispensable lawyer, consultant, writer, coder, financial analyst — and so on. The tools work for you, you work less hard, everybody wins.

Harvard Business Review Study

A new study published in Harvard Business Review follows that premise to its actual conclusion, and what it finds isn’t a productivity revolution. It finds companies are at risk of becoming burnout machines.

As part of what the researchers describe as “in‑progress research,” they spent eight months inside a 200‑person tech company watching what happened when workers genuinely embraced AI. Across more than 40 in‑depth interviews, they discovered:

• Nobody was pressured to hit new targets.
• People simply started doing more because the tools made more feel doable.
• Work began bleeding into lunch breaks and late evenings.
• Employees’ to‑do lists expanded to fill every hour that AI freed up, and then kept going.

One engineer summed it up: “You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But then really, you don’t work less. You just work the same amount or even more.”

A commenter on Hacker News expressed a similar reaction, noting that after their team “jumped into an AI‑everything working style, expectations have tripled, stress has tripled and actual productivity has only gone up by maybe 10 %.” The comment highlighted the pressure to prove AI investments are worth it, often resulting in longer hours.

Other Research

The HBR findings are not entirely novel. A separate trial last summer found experienced developers using AI tools took 19 % longer on tasks while believing they were 20 % faster. Read the study.

Around the same time, a National Bureau of Economic Research paper tracking AI adoption across thousands of workplaces reported that productivity gains amounted to just 3 % in time savings, with no significant impact on earnings or hours worked in any occupation. View the paper.

Both studies have been scrutinized, but the HBR research is harder to dismiss because it does not challenge the premise that AI can augment employee capabilities. Instead, it confirms the augmentation and shows where it leads: “fatigue, burnout, and a growing sense that work is harder to step away from, especially as organizational expectations for speed and responsiveness rise,” according to the researchers.

Implications

The industry bet that helping people do more would be the answer to everything. The emerging evidence suggests this may instead be the beginning of a different problem entirely: a work environment where AI‑driven efficiency translates into higher expectations, longer hours, and increased burnout.