The promise was simple: AI would do the boring work, and we’d all clock out early. That’s not how it’s playing out. According to Hacker News, new research paints a very different picture of the AI age, one where the technology makes work more intense, not less, and quietly reshapes who gets ahead.
Start with the data. ActivTrak analyzed the digital activity of more than 10,000 workers and found that early AI adopters didn’t wind down. They wound up. Time spent on email, messaging, and chat apps more than doubled. Business software use jumped 94 percent. Researchers at UC Berkeley’s Haas School of Business saw the same thing: once coding and engineering got easier, workers pulled those tasks back in-house instead of outsourcing them. People squeezed in work bursts on weekends, in waiting rooms, wherever AI was handy.
What stands out here is the pattern. People don’t bank the time AI saves. They spend it on more work. Expectations rise, from the worker and the boss alike. Every hour feels fuller and more frazzled. ActivTrak found focused, uninterrupted work fell 9 percent. There’s already a nickname for the result: “AI brain fry.”
The old prediction was wrong before
This rhymes with history. Every labor-saving technology arrives with experts promising 15-hour workweeks. Planes, trains, and cars made travel faster, so people took more trips. AI is following the same script. The tools make each task cheaper, so we simply do more tasks.
The sharper insight from the piece is a guiding principle: when intelligence is plentiful, volition is valuable. The differentiator won’t be raw smarts. It’ll be your relationship to mental effort. Psychologists talk about “need for cognition,” the degree to which someone actually enjoys thinking hard. High-need people read dense books and play hard games for fun. Cognitive misers dodge effort whenever they can. Most of us sit in the middle.
Where it gets risky
Here’s the trap. People with low need for cognition will use AI to think even less. They get a real short-term win: tasks become effortless, output goes up. The cost shows up later. Learning happens in the zone of optimal difficulty, where a task is hard enough to stretch you but not so hard you drown. AI can push low-effort people right out of that zone.
The studies cited are worth sitting with:
- Nataliya Kosmyna’s team at the MIT Media Lab found brain connectivity dropped by as much as 55 percent when people used ChatGPT versus doing similar tasks without it.
- Vivienne Ming of Possibility Sciences measured a roughly 40 percent decline in gamma-wave activity, a marker of cognitive effort, during AI use.
- Michael Gerlich of SBS Swiss Business School found a significant negative correlation between frequent AI use and critical-thinking ability.
The scariest part is what happens when the crutch gets pulled. Grace Liu’s team at Carnegie Mellon found that after just 10 minutes of AI-assisted problem solving, people who lost access performed worse and quit more often than those who never used AI at all. In one study, endoscopy doctors spotted precancerous lesions in 28.4 percent of colonoscopies before AI. After using AI and then losing it, that fell to 22.4 percent. Their skills had eroded. Anyone who has followed GPS through a maze of freeways, then realized they can no longer read a map, knows the feeling.
What to actually do
AI sucks you in with genuine productivity, then threatens to hollow you out. That tension is the whole story. A few takeaways for practitioners and the teams that manage them:
- Treat AI as a sparring partner, not a ghostwriter. Wrestle with it to sharpen your thinking, don’t hand off the thinking entirely.
- Protect the hard parts. Keep doing some core tasks manually so the skill doesn’t atrophy. Skill decay is measurable and fast.
- Watch the intensity creep. If focused work is falling and everyone feels frazzled, that’s a workload-design problem, not a personal failing.
- Hire and reward for volition. In a world of cheap intelligence, the people who choose to engage with difficulty become the rare asset.
The machines aren’t taking the effort out of work. They’re raising the price of avoiding it. You can read the full piece and the underlying studies at the original source.