AI Was Supposed to Free You. Instead, It's Just Giving You More to Do.
Remember when AI was going to save us all? Elon Musk said jobs would become hobbies. Google DeepMind's CEO promised a "golden era" four years out. Zoom's Eric Yuan floated the four-day workweek like it was basically already here.
You're living the reality. How's that working out?
A recent ActivTrak report tracked over 10,000 workers for six months before and after AI adoption — and the numbers are brutal. Time spent on tasks went up across every single job category. Emails: up 104%. Messaging: up 145%. Business management tools: up 94%. Total time increases ranged from 27% to 346% depending on the task.
Not one category where AI saved time. Not one.
The report puts it plainly: "The data is unambiguous: AI does not reduce workloads." What it actually does is inflate them. You're not doing less work more efficiently — you're doing the same work plus managing the AI, reviewing its outputs, re-prompting when it gets things wrong, and somehow fitting all of it into the same eight hours.
And the cruellest part? All that extra busywork is coming directly at the expense of the work you actually care about. Deep focus sessions are down 9%. Focused work hours dropped another 2%. The share of the day spent genuinely "in the zone" has been sliding for three years straight and hit 60% in 2025. You're context-switching more, concentrating less, and spending the hours that used to go to hard problems on... inbox management.
This is what "superhuman" looks like in practice.
There's a name for what a lot of tech workers are quietly experiencing: "AI brain fry." A 2026 Boston Consulting Group study found that intense AI tool oversight is accelerating mental fatigue — too many micro-decisions, too much information throughput, not enough cognitive breathing room. And here's a detail worth sitting with: workers using four or more AI tools reported lower productivity than those using three or fewer. At some point, the tools become the problem.
UC Berkeley researchers flagged something similar — when AI genuinely does create efficiency gains, workers don't pocket that time. They immediately fill it with more tasks. The workload expands to consume whatever margin the tools create, and burnout follows.
None of this means AI is useless. Some people are genuinely getting more done with it. But there's a massive disconnect between the "we're building toward utopia" energy coming from the top and the ground-level experience of people who are more overwhelmed, more distracted, and more burned out than before they adopted these tools.
The CEOs selling you the dream aren't the ones re-prompting Claude at 6pm because the first three outputs weren't quite right.
You are. And your workday is longer because of it.