Workers are using AI to learn on the job, even though 65% worry about accuracy

Published
Score
11

Why it matters

A survey by the American College of Education found that 63% of U.S. workers use AI tools to develop skills their employers have not formally trained them on, despite widespread doubts about the technology's reliability. The study of over 1,000 workers also showed that 69% report AI has improved their productivity. The findings, released in April 2026, document a sharp acceleration in workplace AI adoption for learning purposes—a marked shift from February 2025, when only 16% of workers actively used AI for work tasks.

The survey reveals a striking contradiction: workers rely on AI for learning even as trust erodes. Sixty-five percent worry about accuracy, and only 7% believe AI learning is sufficient on its own. Yet 23% say AI is their first choice for learning something new. Meanwhile, worker sentiment about AI's broader impact has turned negative. A March 2026 Jobs for the Future survey found that only 39% of workers feel optimistic about AI's effect on employment, down from earlier assessments viewing the technology as beneficial.

Attorneys should track this trend as it intersects with employment law and corporate liability. The gap between worker reliance on AI and employer training investment—only 36% of workers report adequate employer-provided AI training—creates exposure for companies. As workers increasingly self-direct their learning through unvetted AI tools, employers face potential liability for errors, compliance failures, or inadequate skill development. The behavior also signals workplace pressure: 46% use AI because it's faster than asking for help, and 29% use it to avoid admitting knowledge gaps. This dynamic may inform disputes over performance, competency, and the adequacy of employer training programs.

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