Figures 11A and 11B examine in turn the female and male AI talent pool, according to two dimensions, skills and occupations. More granular analysis reveals that gender gaps are evident across the skills that AI professionals possess and the professions in which this talent pool is employed. This four-year trend suggests a hardened talent gap that will require focused intervention. As highlighted by Figure 8B the gender gap has remained constant over the past four years even as the overall number of professionals with AI skills has risen, seeing the share of female AI talent oscillate between 21% and 23%.
While skills expansion across both genders ebbs and flows in the same rhythm, the absolute number of women who indicate they have AI skills on LinkedIn is much lower.
23 This trend is illustrated in Figure 8A. Over the past four years, the rate at which women and men have acquired AI skills has progressed in tandem. The three countries with the smallest gender gaps are Italy, Singapore and South Africa, where on average 28% of the AI talent pool is female in contrast to 72% male. With 23% female AI talent, the United States demonstrates a moderate gender gap relative to its top 20 peers. In Argentina, the same figure rises to 17%. In Germany a mere 16% of the AI talent pool is female. Others include Brazil, Mexico and Argentina. At the same time, Germany is also among the countries with the largest AI gender gap. 22 The three countries in which AI talent is most prominent are the United States, closely followed by India and Germany. Table 6 shows the top 20 countries ranked according to the concentration of their AI talent pool. This accounts for a gender gap of 72% yet to close.Īcross the globe, some economies have been able to outperform the average.
21 Only 22% of AI professionals globally are female, compared to 78% who are male. 20 We find that there is a significant gender gap among AI professionals. To understand the prospects for gender parity among industries, we examined female representation within this new talent pool. AI skills are among the fastest-growing specializations among professionals represented on the LinkedIn platform. The increasing expansion of AI is creating the demand for a range of new skills, among them neural networks, deep learning, machine learning, and “tools” such as Weka and Scikit-Learn. 19 In partnership with the LinkedIn Economic Graph Team, the World Economic Forum aims to provide fresh evidence of the emerging contours of gender parity in the new world of work through near-term labour market information.
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Artificial Intelligence (AI) is a prominent driver of change within the transformations brought about by the Fourth Industrial Revolution (4IR), and can serve as key marker of the trajectory of innovation across industries. As roles and tasks shift in tandem with the expansion of new technologies, and the division of work between human and machine is redrawn, it is of critical importance to monitor how those changes will impact the evolution of economic gender gaps.
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