AI 很可能会加剧职场性别差距

Group 1 - The core argument is that generative AI is reshaping the job market but is also exacerbating the long-standing gender gap in the workplace [3][4] - Women face a dual disadvantage in the AI transformation, with fewer women in AI-enhanced roles (20.5%) compared to men (24.1%), and a higher percentage of women in jobs being disrupted by AI (33.7% for women vs. 25.5% for men) [4] - In the U.S., jobs expected to be disrupted by AI include medical administrative assistants (91% female) and office managers (88% female), while AI-enhanced roles are dominated by men, such as electrical engineers (94% male) and mechanical engineers (89% male) [4] Group 2 - There is a significant STEM gap, with women making up 38.5% of STEM graduates in 2021 but only 31.6% entering the STEM workforce in 2022 [5] - The representation of women in STEM entry-level positions is 29%, in management positions is 24.4%, and in executive roles is only 12.2% [5] - Companies need to reassess their hiring practices and performance evaluations to ensure fair opportunities for success and advancement, regardless of gender [5] Group 3 - Positive trends indicate that women are catching up in AI skills, with the percentage of women possessing AI engineering skills increasing from 23.5% in 2018 to 29.4% by early 2025 [6] - In 74 economies, gender gaps in AI skills have narrowed over the past five years [6] - Women are more likely to underestimate their AI skills in their resumes [6] Group 4 - No economy fully utilizes all available talent for innovation, but some perform better than others, with East Asian economies like China (26.8% female inventors) and South Korea (28.3% female inventors) surpassing the EU and U.S. by about 10 percentage points [7][8] - The rise of generative AI does not reflect societal diversity, leading to underrepresentation of women in future job and leadership roles [8] - There is an opportunity to correct this trend through investment in skill development and equitable use of AI in hiring and promotions [8]