The most seductive narrative in American work culture right now isn’t that AI will take your job. It’s that AI will prevent from it.
That’s the version the industry has spent the last 3 years selling to thousands and nervous people who are ready to buy it. Yes, a few white-collar jobs will vanish. But for most different roles, the argument is going, AI is a force multiplier. You become as a more capable, more vital lawyer, consultant, writer, coder, financial analyst — and so on. The tools work for you, you work less hard, everybody wins.
But a new study posted in Harvard Business Review follows that premise to its real end, and what it finds there isn’t a productivity revolution. It reveals corporation’s are at risk to becoming burnout machines.
As a part of what they describe as “in-progress research,” UC Berkeley researchers spent 8-months inside a 200-person or tech corporation looking at what happen when employees actually embraced AI. What they observed throughout more than 40 “in-intensity” interviews was that no one was pressured at this corporation. Nobody was told to hit latest objectives. People simply started out doing more due to the fact the tools made more feel possible. But due to the fact they might do these items, work started bleeding into lunch breaks and past due evenings. The employees’ to-do lists expanded to fill each hour that AI freed up, and then kept going.
As one engineer instructed them, “You had thought that maybe, oh, due to the fact you could be more efficient with AI, then save sometime, you can work much less. But then simply, you don’t work less. You just work the same amount or maybe more.”
Over on the tech industry forum Hacker News, one commenter had the same reaction, writing, “I experience this. Since my team has jumped into an AI everything operating style, expectations have tripled, stress has tripled and actual productivity has only gone up to 10%. It looks like leadership is putting tremendous pressure on anybody to prove their investment in AI is worth it and we all sense the try to expose them it is while really having to work longer hours to accomplish that.”
It’s captivating and also alarming. The argument about AI and work has always stalled on the same inquiry— are the profits real? But too some have stopped to ask what happens while they are.
The researchers’ latest findings aren’t totally novel. A separate trial last summer determined experienced developers the use of AI tools 19% longer on tasks while believing they were 20% faster. Around the same time, a National Bureau of Economic Research study tracking AI adoption across thousands of workplaces found that productivity gains amounted to just 3% in time savings, , and not using a widespread impact on earning or hours worked in any occupation. Both studies have gotten picked apart.
This one may be more difficult to push aside as it doesn’t challenge the basis that AI can augment what workers can do on their own. It confirms it, then indicates where all that augmentation simply leads, that’s “fatigue, burnout, and a developing sense that work is tougher to step away from, mainly as organizational expectancies for speed and responsiveness rise,” as per the researchers.
The industry bet that assisting people do more might be the solution to the everything, but it may turn out to be the starting of a different hassle absolutely.
