Core Insights - The research indicates that the adoption of generative AI has a differential impact on employees based on their qualifications, significantly affecting junior employees while having a lesser impact on senior employees [1][3][23] - The study highlights a trend where the number of junior employees is declining in companies that have adopted AI, particularly since the first quarter of 2023, while the number of senior employees continues to rise [5][10][19] Employment Trends - Approximately 10,600 companies, or about 3.7%, have adopted AI, with a sharp increase in this trend starting from the first quarter of 2023 [5][22] - The employment of junior employees in AI-adopting companies has decreased by approximately 7.7% since the first quarter of 2023, while senior employee numbers have maintained a growth trend [10][12][19] - The decline in junior employee numbers is primarily due to a slowdown in hiring rather than an increase in turnover, with the wholesale and retail sectors being the most affected [6][15][16] Educational Impact - The study reveals a U-shaped trend in the impact of AI on graduates from different educational backgrounds, with those from mid-tier universities experiencing the most significant job declines, while graduates from top-tier and lower-tier institutions are less affected [20][22] - The findings suggest that the demand for entry-level positions is being reshaped, with the most significant impacts felt by those in the middle tier of educational attainment [22][23] Implications for Workforce Dynamics - The research suggests that the rise of generative AI is leading to a contraction of entry-level job opportunities, which could exacerbate income inequality and affect the salary premium associated with college degrees [22][23] - Companies may increasingly rely on experienced employees and accelerate the promotion of existing staff, indicating a shift in talent strategies [23]
哈佛研究报告：AI正在职场制造“新贫富差距”
3 6 Ke·2025-09-03 11:00