Artificial intelligence applications supporting women’s career development: a scoping review

Background Artificial intelligence (AI) technologies are increasingly employed in career development interventions. However, the extent to which these technologies support women’s career advancement, mitigate structural barriers, and promote gender equity remains underexplored. Objective This scoping review systematically maps the empirical evidence on AI-driven interventions designed to support women’s career development. Methods The review was conducted in accordance with PRISMA-ScR guidelines and pre-registered on the Open Science Framework (OSF). Twelve empirical studies published between 2018 and 2025 were identified through systematic searches across seven databases. Thematic analysis was employed to inductively synthesise the data, leading to the identification of three overarching domains: (1) bias mitigation and representation, (2) skills’ development and empowerment, and (3) career pathways and retention. Results Findings suggest that AI interventions hold significant promise to reduce gender biases in career processes, enhancing women’s professional skills and agency, and facilitating sustainable career trajectories. Nonetheless, the review reveals notable gaps, including limited longitudinal data, underrepresentation of diverse populations, insufficient theoretical integration, and ethical considerations inadequately addressed. Conclusions While AI-driven interventions align with conceptual propositions about their transformative potential, empirical evidence remains fragmented. Future research should prioritise longitudinal, intersectional, and theory-informed studies to ensure AI technologies effectively promote gender equity in career development.