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逾半数职场人士认为,按受AI培训犹如多干了一份工作
财富FORTUNE· 2025-09-01 13:06
Core Insights - The article highlights the growing dissatisfaction among employees regarding AI training programs, with over half feeling it resembles a second job [2][3] - A significant portion of the workforce believes that the intensity and frequency of AI training interfere with their core responsibilities, leading to burnout [3][7] Employee Sentiment - 51% of respondents feel that AI training demands are excessive and disrupt their main job duties, contributing to feelings of burnout [3] - 33% of employees admit to feeling embarrassed due to their limited understanding of AI, while 35% feel anxious discussing AI at work [3][5] Impact on Workforce - The findings emerge as employers increase investments in employee skill enhancement to adapt to AI-driven workflows, yet many employees report feeling more stressed and working longer hours without additional compensation [3][4] - The pressure from AI training has led to significant workforce reductions, as seen in companies like IgniteTech, which cut nearly 80% of its staff due to poor responses to AI training [4] Reliance on Personal Networks - Employees are increasingly turning to their personal networks for reliable advice and support rather than AI tools or search engines, with 43% citing their connections as the primary source of workplace guidance [5] - 64% of employees believe that assistance from colleagues helps them make decisions more quickly and confidently [5] AI Investment Concerns - A recent MIT study found that 95% of generative AI pilot projects failed to deliver measurable ROI, raising concerns about the disconnect between corporate spending and actual outcomes [5][6] - The report indicates that only 5% of AI deployments led to rapid revenue growth or significant operational improvements, with many projects stagnating or being abandoned [6] Corporate Strategy Reevaluation - The article suggests that the aggressive push for digital transformation by companies has not enhanced employee capabilities as claimed, but rather drained their energy [7][8] - There is a growing tension between the speed of technology adoption and the actual experiences of employees, indicating a need for companies to reassess their AI training approaches to prevent further alienation of their workforce [8]