Information and Media, for example, the share of STEM occupations stands at 23.4% for women versus 43.6% for men, meaning that women are half (53.8%) as likely to take up STEM employment in this field. In other industries, such as Real Estate, women are only 35% as likely as men to work in STEM, whereas in Agriculture and Education, parity reaches 69% and 61.5% respectively. Women generally tend to be underrepresented in leadership roles, but especially in STEM work: they account for 29.4% of entry-level workers and 29.9% of senior workers, but the share of women in Manager or Director positions drops to one- quarter (25.5% and 26.7% respectively). Women’s representation in high-level leadership roles such as VP and C-suite drops even lower, to 17.8% and 12.4%, respectively.AI occupation take-up As AI continues to revolutionize the labour market, a new metric has been developed in collaboration with LinkedIn to analyse the gender gap in the distribution of AI talent across industries that have experienced significant impacts from AI.17 The concentration of AI talent overall has surged, increasing six times between 2016 and 2022. The extent of this increase varies across industries, with Technology, Education, Professional Services, and Financial Services exhibiting the highest concentration of AI talent. However, when it comes to gender gaps, representation of female AI talent is lower compared 0 10 20 30 40 50 60 70 80 90 100 Share (%)Education Consumer Services Government and Public Sector Professional Services OverallManufacturingTechnology, Information and MediaFinancial Services62% 65% 69% 73% 75% 78% 70%60% 38% 35% 31% 727% 25% 22% 30%40%Gender representation for AI talent, by industry, 2022 FIGURE 2.14 Source LinkedIn Economic Graph. Women Men to men in all large industries, as depicted in Figure 2.14. Overall, as of 2022, only 30% of AI talent were female. The industries with the highest concentration of AI talent include those with a low representation of women, as well as those with higher representation, such as Financial Services (female representation of 28%); Education (40%); Professional Services (31%); and Technology, Information, and Media (25%). Additionally, Consumer Services (38%) and Government and Public Sector (35%) are industries with a large gender gap overall and in AI. Female representation in AI is progressing, yet very slowly. The percentage of women working in AI today is roughly 4% higher than it was in 2016 (~26%). The gender gap in AI professionals has far-reaching implications that extend beyond the realm of technology. It exacerbates the existing gender disparities in the workforce, particularly in a rapidly- growing sector like AI that holds significant influence over various industries. As AI is disrupting critical solutions in knowledge work, supply chains, hiring, education, health and the environment, among others, underrepresentation of women in AI can impede the realization of the innovation premium associated with diversity. In addition, when women’s perspectives, experiences and insights are not adequately incorporated into AI development and deployment, biased algorithms and technologies may be perpetuated, risking biased and suboptimal solutions to emerging challenges. Global Gender Gap Report 2023 46

GGGR 2023