Artificial Intelligence‐Driven Inequality: Gendered and Intersectional Experiences of Workplace Discrimination in Europe

ABSTRACT Artificial intelligence (AI) is increasingly reshaping critical areas such as hiring and workplace management, yet it risks systematically reproducing and amplifying existing inequalities, particularly regarding vulnerable groups. As addressing this urgent concern, we apply a feminist framework to examine gender differences in experiences of AI‐driven discrimination among employees and job seekers. Using survey data from 4417 individuals across 28 European countries, we demonstrate how such discrimination is patterned along gendered lines. Our findings suggest that women, older individuals, non‐White individuals, and those in non‐permanent employment are, overall, more likely than other participants to perceive or experience negative discrimination from AI applications. This pattern also extends to individuals identifying as “other gender.” Understanding intersecting inequalities and engaging feminist perspectives that question whose knowledge, values, and experiences are embedded in technological systems are essential. Only then can AI contribute to workplaces that are genuinely trustworthy. This, however, remains challenging given how ingrained inequality is in AI tools.