As Artificial Intelligence continues to transform economies and reshape corporate landscapes, a crucial question emerges: Will this technological revolution narrow or widen existing gender gaps? In their white paper “Gender Parity in the Intelligent Age” (2025), Silja Baller, Matthew Baird, and colleagues from the World Economic Forum and LinkedIn delve into this question with compelling urgency. Their analysis highlights not only the risks of excluding women from AI-related roles but also the substantial economic benefits of fostering inclusive participation in the Intelligent Age.
The paper begins by framing gender parity not as a moral or social add-on but as a strategic economic lever. Companies that succeed in doubling their GenAI talent pools by better integrating women stand to gain competitive advantages in innovation, problem-solving, and product relevance. Conversely, organizations and economies that neglect gender diversity in AI talent development risk not only social inequality but also economic underperformance. The authors emphasize that economies advancing in AI with limited talent diversity are likely to experience innovation bottlenecks and a loss of long-term value.
A major theme explored in the paper is the uneven global distribution of AI innovation and the structural drop-off of female talent across the tech career pipeline. While regions like Eastern Asia and the Pacific lead in AI patent production, primarily driven by China, the global female presence in innovation remains fragile. The data shows that despite a healthy entry point of women in STEM education, their representation dwindles significantly at higher rungs of the career ladder. Only a minority of economies have succeeded in retaining and elevating female innovators to leadership positions in AI development.
The deployment of Generative AI is also producing gender-differentiated impacts across job categories. Drawing on LinkedIn’s extensive labor market data, the authors highlight that women are more likely to hold roles susceptible to automation and less likely to benefit from GenAI-driven augmentation. This trend signals a double vulnerability: a risk of displacement and a lack of preparedness for transition. Even though attitudes toward AI are rapidly evolving across both genders, men consistently report greater confidence and engagement with AI tools in the workplace. This points to an urgent need for more inclusive upskilling strategies.
However, the paper does not dwell solely on the problem. It also identifies opportunities where AI can serve as a leveller rather than a divider. With reskilling and AI literacy initiatives gaining traction, a new cohort of female AI professionals is emerging. Between 2018 and 2025, the gender gap in AI engineering skills narrowed in 74 of 75 economies surveyed. The authors also note that apparent gender disparities in AI skills may be partially explained by underreporting tendencies among women, suggesting that the true talent pool could be even larger than the data indicates.
Beyond skills development, the authors emphasize the importance of equity in hiring, evaluation, and promotion processes. With 99% of Fortune 500 companies using automated tools in recruitment, there is both a risk and an opportunity. If trained on biased data, AI systems can perpetuate existing inequalities. But if designed intentionally, AI could offer fairer, more consistent assessments that help diversify leadership pipelines. Transparent algorithmic systems could open doors for overlooked candidates and redefine merit in more inclusive terms.
In its final sections, the paper lays out a clear call to action. Embedding gender parity into the architecture of AI development is not just a fairness initiative; it is a blueprint for economic resilience. Leaders across industries and public institutions must align policies, resourcing, and innovation ecosystems to ensure women are equitably represented in the AI economy. In doing so, they will create better products, stronger institutions, and more adaptive organizations in an increasingly intelligent world.
“Gender Parity in the Intelligent Age” was published in March 2025 by the World Economic Forum in collaboration with LinkedIn. The full white paper is available online here.