Abstract
Artificial intelligence (AI) offers transformative potential for small and medium enterprises (SMEs), yet little is known about how women-owned SMEs practically adopt these technologies. This exploratory study examines three women-owned SMEs that publicly report using AI, mapping their lived experiences to themes in the literature (gendered barriers, staged adoption, and ethical/inclusive design). Data were gathered from publicly available articles and podcasts and analysed using thematic coding. We find that the cases predominantly used AI for operational efficiency, strategic decision-making and creative support; explicit discussion of gendered barriers and ethical AI was limited in public accounts. We discuss implications for policy, capacity building and future empirical work, and call for in-depth interviews and longitudinal research to capture under-reported challenges and design needs.
Recommended Citation
Anwar, Misita; Lee, Maggie; Bingley, Scott; Korthaus, Axel; and Burgess, Stephen, "Navigating AI in Women-Owned SMEs: An Exploratory
Three-Case Study" (2025). ACIS 2025 Proceedings. 233.
https://aisel.aisnet.org/acis2025/233