Gender Parity in the Intelligent Age 2025

Balancing the impact of AI deployment 2.2 As successive editions of the Global Gender Gap Index have shown, gender parity in the workforce is a driver for growth and resilience. However, to date we are seeing AI deployment drive greater disparity. This section lays out emerging patterns in terms of workforce impact and underlying bottlenecks. It further presents levers to ensure more women are benefitting from AI-driven augmentation; these include skilling, fair hiring, performance evaluation and promotion. The deployment of GenAI technologies has shifted the goal post for the future of work. As machine learning models have moved beyond research labs and into everyday interactions – notably, with the launch of ChatGPT in 2022 – a surge of custom applications and innovations was enabled with real-life implications on work. The types of tasks, roles and industry demands that men and women respond to are changing, and with it the future of workforce representation, leadership opportunities and career progression. The impact of GenAI technologies on jobs is increasingly conceptualized in terms of three processes – augmentation, disruption and insulation – which have since been adopted as categories describing the future of work (Table 1). Of the three processes described in the table above, augmentation carries an expectation for workers to engage proactively with the tech-driven workforce transformation and to be well-rewarded for it, compared to the other two categories. When considering the gender composition by GenAI segment, the data shows that augmentation would create scenarios where the shares of women or men working with AI would vary depending on their occupation (Figure 4). LinkedIn research suggests that women tend to work in occupations with less potential to be augmented by GenAI compared to men. Data from their United States membership suggests that more women than men will be in jobs disrupted by GenAI (57% vs 43%), whereas less women than men will see their work augmented (46% vs 54%) by GenAI. Only four percentage points separate the share of women whose roles would be insulated (48%), compared to men (52%).Augmentation These jobs’ core skills include a large share of both GenAI-replicable and GenAI-complementary skills. GenAI may positively affect a relatively large portion of the skills in these jobs, leaving more time for higher value-added complementary skills. Disruption These jobs’ core skills include a large share of GenAI-replicable and a relatively low share of generative complementary skills. The skills are likely to become obsolete with broader adoption of GenAI. Insulation These jobs have a relatively small proportion of GenAI-replicable skills among their core skills, which are likely to remain unchanged in the near term. Source Adapted from Karin Kimbrough’s and Mar Carpanelli’s 2023 paper “Preparing the Workforce for Generative AI Insights and Implications” published by LinkedIn Economic Graph Research Institute, 2023.GenAI processes: impact on jobs and skills used TABLE 1 Gender Parity in the Intelligent Age 9