As AI reshapes the global workforce at a speed few anticipated, women risk bearing the brunt of a transformation they had little say in designing.
Marni Baker Stein, chief content officer at Coursera, breaks down how the rise of AI and generative AI is widening skill gaps, threatening economic mobility, and creating a new front line in the fight for gender equality, and what governments, companies, and educators need to do before the divide hardens.
How does the increasing adoption of AI and Generative AI create a new barrier to equality for women in the workplace?
Artificial Intelligence (AI) and generative AI (GenAI) promise major gains in productivity and efficiency in the modern workplace, but they also carry a hidden, gendered cost. AI could potentially automate at least 50 per cent of jobs globally by 2045, with women’s roles facing significantly higher exposure to this job transformation.
For instance, the latest International Labor Organization (ILO) report reveals that 9.6 per cent of traditionally female jobs are at high risk. In contrast, only 3.5 per cent of male-dominated roles are at risk.
This disparity stems from women’s overrepresentation in occupations most susceptible to disruption by AI, such as administration, customer service, and data processing. These roles are often concentrated in people-centric sectors such as healthcare, social services, and education. As a result, with AI-driven change, millions of women are at risk of job disruption and slower career mobility.
What are the main economic implications when women are excluded from an AI-driven economy?
Excluding women from the formal economy results in substantial losses to the global GDP. Higher female labour force participation drives economic growth and diversification, creating wealth and jobs and stimulating innovation. When more women work, the economy prospers, and the World Bank estimates that closing the gender gap could potentially unlock a staggering$7tn in global GDP.
Studies also show women make up just 26 per cent of the global technology workforce, a gap that risks widening as automation accelerates. Failing to engage women fully in technology-driven fields further limits competitiveness and innovation in a talent-constrained global economy.
Even achieving the UN’s 17 Sustainable Development Goals by 2030 will require sustained investment in women’s economic participation and equitable access to opportunity.
What key skills are essential for women to thrive in this evolving landscape, and why must organisations accelerate efforts to reduce skills gaps?
Success in the modern workplace increasingly depends on competencies such as digital fluency, analytical thinking, and complex problem-solving. With AI fluency becoming relevant across industries, nearly every occupation is expected to experience skill shifts by 2030.
However, longstanding structural barriers have prevented many women from accessing opportunities to develop these critical skills. As labour markets evolve, continuous upskilling and lifelong learning must become central priorities to enable women to participate fully and advance in careers increasingly shaped by technology.
Closing this skills gap will require a strong focus on continuous learning and upskilling. Organisations that invest in building these capabilities among women benefit from a broader talent pipeline, stronger innovation, and more resilient workforces. Without targeted investment, the rapid pace of technological change risks reinforcing existing inequalities in career progression and leadership representation.
Read: Coursera CEO Greg Hart on driving an AI-powered learning, upskilling revolution
How can innovative learning models support women’s skill development and career advancement?
As skill demands become more specialised and dynamic, traditional degrees alone may no longer be sufficient to ensure women’s economic mobility. Online and hybrid learning models are becoming important tools for expanding access. They help reduce geographic and financial barriers while providing flexible, job-relevant learning pathways and micro-credentials in areas such as AI, data, business, and essential digital and human skills.
By accelerating skills velocity and supporting lifelong learning — aligned with SDG 4 — these accessible pathways can help more women translate learning into economic opportunity.
Why and how must policymakers, corporates, and the education sector take targeted actions to ensure that women are prepared for, and benefit from, the AI revolution?
Supporting women to actively shape the current AI revolution is a shared responsibility. By applying a gender lens to AI development and deployment, policy and corporate leaders can ensure that women are equipped not only to work alongside AI but also to actively shape its future. This responsibility is critical to prevent AI from becoming a new barrier that rolls back women’s progress in the digital sector.
For policymakers, this involves embedding inclusive learning and digital access into national skills strategies and recognising alternative credentials and industry certifications that validate in-demand skills. Businesses must expand skills-based hiring and invest in targeted training for their female workforce.
To widen access and unlock women’s full potential in the workplace, higher education institutions and online learning providers must continue to scale and deliver flexible, affordable, and industry-aligned programmes that cater to evolving work demands.