
What happened
An analysis of Glassdoor reviews shows workers are increasingly critical of AI in the workplace. AI mentions in US reviews jumped 240 percent from May 2025 to May 2026, and negative sentiment on AI comments climbed to 53 percent.
Why it matters
The criticism goes beyond job-loss fears, which account for 20 percent of negative comments. Workers also complain about being forced to use AI (14 percent), AI as a distraction (13 percent), and workplace surveillance (10 percent). Executives are the most AI-positive group, while engineers and insurance claims workers are among the most critical.
What to watch
The gender gap is stark among younger workers: only 21 percent of AI comments from Gen Z women are positive, compared to 42 percent from Gen Z men. Company size also matters — at firms with more than 10,000 workers, 67 percent of AI comments are negative.
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The Glassdoor analysis shows AI sentiment in the workplace has shifted dramatically since 2019, when positive AI comments stood at 81 percent. By mid-2026, that figure had dropped to 43 percent, with negative sentiment climbing to 53 percent. This reversal suggests that as AI tools become more common in everyday work, employee enthusiasm is being replaced by practical frustrations.
The data reveals a clear split between those who benefit from AI and those who don't. The most detailed positive reviews come from "AI winners" (44 percent) and "AI users" (41 percent) who get proper tools and training. Meanwhile, negative comments cite forced adoption, distraction from core business, and surveillance. The analysis also shows that mention of AI jumps across nearly every profession once a role has a moderate exposure level, even for jobs where automation poses little threat.
The findings align with other studies, including a survey showing Gen Z is particularly critical of AI and a Stanford AI Index showing a massive perception gap between experts (73 percent positive) and the public (23 percent positive). Critics note Glassdoor reviews may not represent the entire workforce, but the shift over time appears more telling than the raw numbers.
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