Employees are racing to deploy workplace bots under pressure—and quietly skipping the checks that keep the work accurate. Accountability is collapsing in the process.
While tech CEOs argue over existential AI risks, a quieter crisis is already hitting offices. Multiple new surveys show large numbers of workers using automation tools recklessly, often with zero company rules forcing them to verify the output.
Fear of blame collides with fear of replacement
A GoTo survey of 2,500 global workers and IT leaders found 83% worry they’ll be blamed—or fired—for AI-generated mistakes. Nearly a third have hesitated to use the tools at all, preferring to do the work themselves rather than risk the fallout.
Yet many still dive in. A Gallup poll shows 27% of U.S. workers fear technology could make their jobs obsolete—the top concern among those under 45. That anxiety is pushing people to adopt AI as a productivity shield.
GoTo quantified the pressure: 60% of employees say they feel forced to use AI to boost output. Nearly half (47%) say AI use factors into performance reviews. 42% would rather risk AI errors than look “slow” or “replaceable.”
The coercion sometimes comes straight from the top. Almost a third report unspoken pressure to trust AI and stay quiet about its mistakes. 14% say they were explicitly told not to flag flawed outputs to managers.
Responsibility is evaporating
Once workers feel cornered into using tools they don’t fully trust, ownership evaporates.
- 55% of GoTo respondents admit they don’t always review AI outputs—even on high-stakes work.
- 26% say the tech lets them dodge real accountability.
- 25% have blamed AI for mistakes they made themselves.
It gets worse. A September poll by Kolmogorov Law of 50 AI-using employees found 42% knowingly fed bad or suspect bot content into the workflow. About 30% later faced trouble for it. Still, 65% don’t bother verifying accuracy.
Most companies still have no rules
Only 22% of Kolmogorov respondents said their employer has a written policy requiring AI output to be checked before it becomes work product. 59% said no formal requirement exists at all. GoTo found that just 24% of small businesses and 36% of midsize firms have AI guidelines (compared with 53% of larger companies).
“Workers have figured out something most of their employers have not written down yet,” said Pavel Kolmogorov, founder of Kolmogorov Law. “They are still not checking. When that answer ends up in a contract, a filing, or a client deliverable, ‘the AI said so’ is not a defense… The AI companies have disclaimed accuracy in their terms of service, so there is no one upstream to sue. That leaves the professional and the business.”
The fix is obvious—and still rare
Both studies point to the same solution: clear, enforced guidelines plus realistic expectations. Pressure to adopt AI should be dialed back. Extra time to systematically check outputs should be built in.
“We’re seeing a new kind of workplace pressure: Employees feel they must use AI to avoid looking replaceable, but fear repercussions if it goes wrong,” said Dan Schawbel of Workplace Intelligence, which ran the GoTo survey. “That combination is exactly how you get a workforce that uses AI recklessly. Many organizations are accelerating AI adoption without providing the training, policies, and support employees need. The companies that close this gap will be best positioned to unlock AI’s full capabilities while building a more productive and confident workforce.”
Until then, the errors keep piling up—and the blame game continues.