
What happened
WalkMe's third annual AI at Work Pulse Survey, of 2,037 U.S. adults, finds fewer workers pretend to know AI (28.3% in 2026, down from 45.2% in 2025) or pass off AI work as their own (32.5%, down from 48.7%). But 90% feel confident using AI, while only 24.6% say it works on the first try, and half say AI tasks took longer than doing them manually.
Why it matters
Confidence is not translating into savings—CEO Dan Adika says a 50,000-employee company should save 200,000 hours a month, but those savings 'are not there' in P&L. Overconfidence may drive workers to hand their knowledge to AI, risking their roles; 53.6% say senior leaders don't fully understand the AI strategy they champion.
What to watch
Gen Z is most confident (94.1%) but most likely to overstate skills (45% vs. 13% of baby boomers), and 31% of Gen Z say overstatement caused a workplace problem. Adika says training won't fix it, and he expects only 'a little bit better than now' without a mega breakthrough.
Summaries like this, in your inbox every morning.
WalkMe's survey paints a picture of a workforce that has moved from deception to self-assurance, but the confidence appears detached from measurable outcomes. CEO Dan Adika's anecdote about the Madrid conference—where only two people raised hands despite a survey saying 8% use AI meaningfully—sets the tone: actual adoption lags behind perception. The survey's drop in admitted deception might seem positive, but Adika argues it reflects comfort, not honesty: people no longer need to fake skill they believe they have. That belief is shaky, as half of workers report spending more time on AI tasks than doing them manually, and only a quarter say AI works on the first try.
The deeper risk, as Adika describes, is the 'company brain'—a system trained on employees' collective knowledge. The more thoroughly employees teach AI, the more replaceable they become, potentially shrinking teams from ten to three. This threat is most acute for Gen Z, who show the highest confidence and the most overstatement, with 31% reporting real workplace problems. Adika suggests the fix isn't more training, because overconfidence blocks learning; instead, he points to better integration and guidance within existing tools. His outlook is muted: without a mega breakthrough, he expects only marginal improvement. The story leaves a sobering note: workers may stop lying about AI, but they might start overestimating their own value in an AI-augmented workplace.
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