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德银“万人调研”:对于AI冲击岗位,年轻人焦虑远超年长同事
Hua Er Jie Jian Wen·2025-09-24 03:06

Core Insights - The rapid advancement of artificial intelligence (AI) is reshaping the global labor market, creating a generational, geographical, and trust gap among employees regarding job security and AI's impact [1][2][4]. Age-Related Employment Anxiety - A significant disparity exists in employment anxiety due to AI across different age groups, with 24% of employees aged 18-34 expressing high levels of concern about job loss compared to only 10% of employees aged 55 and above [2][4]. - Research indicates that the employment rate for young graduates (ages 22-25) in AI-affected roles has decreased by 6% since the peak at the end of 2022 [4]. Geographical Differences in AI Adoption - American respondents show a higher level of concern about job displacement due to AI (21%) compared to European respondents (17%), reflecting faster AI adoption and higher societal awareness in the U.S. [6]. - The integration and governance of AI technologies are progressing more rapidly in the U.S. and certain European countries, potentially leading to productivity disparities between nations [6]. Skills Training Gap - There is a strong demand for AI-related training among employees, with 54% of U.S. employees and 52% of European employees expressing a desire for such training, yet only about one-third of U.S. employees and one-quarter of European employees have received any form of AI training [7][11]. - Many employees are resorting to self-education methods, such as watching videos or reading articles, but half of the respondents have not taken any steps for self-education in the past 3 to 6 months [11]. Trust Issues in AI Applications - Trust is identified as a significant barrier to the broader application of AI technologies, with skepticism prevalent among users regarding AI's reliability in critical areas [12][14]. - High-risk areas show particularly low trust levels, with 40% of respondents expressing distrust in AI managing personal finances and 37% in AI for medical diagnoses [16].