Artificial intelligence is commonly presented as neutral, autonomous, and future-oriented, yet its interfaces, narratives, and labor infrastructures remain shaped by older gendered expectations. This article advances a new account of AI feminization by connecting symbolic representation to the material organization of hidden labor. Using a mixed-methods design, the study combines interface analysis of fifteen widely used AI systems, critical discourse analysis of 500 public and industry artifacts published between 2018 and 2026, and critical infrastructural document analysis of job advertisements, contractor records, technical reports, model cards, labor documents, and workplace policies. The findings show that AI systems repeatedly perform feminized qualities such as care, patience, emotional responsiveness, availability, and service, while the labor producing these qualities is distributed across annotators, moderators, evaluators, and quality-assurance workers whose contributions remain obscured. The study further demonstrates that AI’s promises of empowerment and efficiency coexist with contractual precarity, surveillance, emotional burden, and unequal global value extraction. By theorizing AI as feminized in interface, discourse, and infrastructure, the article reveals algorithmic intelligence as a social relation rather than a technical achievement. More equitable AI futures therefore require labor visibility, accountability, worker protection, and infrastructural justice.
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Shiva Hari Mainaly (2026) studied this question.
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