August, the globally renowned workplace review platform Glassdoor released the latest data showing a significant decline in employee satisfaction with the introduction of artificial intelligence (AI) in companies. Analysis indicates that the proportion of reviews mentioning keywords such as "AI," "large language models (LLMs)," and "GPT" on Glassdoor has increased by more than 240% from early 2019 to mid-2026.

However, the percentage of positive evaluations about AI dropped sharply from 81% in 2019 to 43% by mid-2026, while negative evaluations rose to 53%, marking a formal shift in attitudes within the workplace towards AI technology from initial enthusiasm to widespread doubt.

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Data reveals a significant cognitive divide among different levels and groups. Executives and management are the most optimistic about AI, with software architects and other technical planning roles having the highest proportion of positive evaluations. In contrast, frontline employees and professionals directly facing the pressure of AI implementation show the strongest dissatisfaction: 57% of software engineers expressed negative opinions, while negative feedback reached four to one in insurance claims adjusters, writers, accountants, and customer service representatives, with insurance claims adjusters even reaching 98% negative sentiment.

Aside from concerns about job loss, which accounted for 20% of negative comments, forced use of immature defective tools by management, AI tools diverting focus from core business activities, excessive surveillance in the workplace, and unrealistic productivity expectations have become the main sources of employee dissatisfaction. Demographically, only 21% of Gen Z women hold a positive view of AI, making them the most skeptical group regarding AI's benefits; in large companies with over 10,000 employees, the proportion of negative comments about AI reached 67%, significantly higher than in small businesses.

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This trend is corroborated by institutions such as Anthropic and the Stanford 2026 AI Index Report, which states that as many as 73% of experts are optimistic about the positive impact of AI on the job market, but only 23% of the public share the same view, highlighting a significant gap between the supply side of technology and the application side of productivity. If companies persist in forcing tool deployment without considering employee training, tool usability, and organizational trust building, they will not only fail to achieve the expected cost reduction and efficiency gains, but may also exacerbate employee burnout and internal friction, posing hidden risks for enterprise digital transformation.