Amazon employees have been saying it for months: the company’s mandatory AI tools create more work, not less. A Harvard Business Review study just proved them right—and the implications stretch far beyond one company’s tech rollout.
The Half-Baked Reality Behind Corporate AI Hype
Employees report AI tools require constant error-correction and verification, slowing productivity rather than enhancing it.
Amazon’s software developers told The Guardian that mandatory AI adoption actually hurt their workflow. “I and many of my colleagues don’t feel that it actually makes us that much faster,” one developer explained, describing tools so buggy they require manual corrections and colleague consultations. It’s productivity theater with a digital twist—your time gets consumed fixing what’s supposed to make you faster.
Research Confirms What Workers Already Knew
New research reveals AI availability leads to longer hours, fewer breaks, and cognitive burnout across tech workplaces.
Harvard researchers tracked 40 tech workers for eight months and found AI didn’t reduce workload—it redistributed it into evenings, weekends, and lunch breaks. Workers reported cognitive fatigue from constant task-switching and decision-making about when to use AI assistance.
The time saved on individual tasks immediately got consumed by expanded expectations. ActivTrak’s broader analysis of 163,000 employees confirmed the pattern:
- Emails increased 104%
- Messaging jumped 145%
- Business tool usage surged 94%
The Profit-Over-People Algorithm
Technology reflects human values, and in corporate America, those values prioritize profit margins over worker wellbeing.
Former Google executive Mo Gawdat identified the core issue: technology amplifies existing human values. In capitalism’s case, that means profit pursuit over worker welfare. AI becomes another productivity layer stacked on top of existing demands rather than a genuine labor-saving substitute.
Your workplace AI tools aren’t broken—they’re working exactly as designed, just not for you. The pattern feels depressingly familiar, like every productivity promise from open offices to Slack. Companies sell efficiency gains while workers absorb the hidden costs.
Until AI adoption prioritizes human outcomes over quarterly metrics, expect more of the same old hustle wrapped in algorithmic packaging.
