The incorporation of technology, and more recently AI [Artificial Intelligence], into our everyday lives has been progressing at an unprecedented pace. Siri, Alexa, Cortana and various other digital assistants and chatbots populate our everyday interactions for most service-related matters. Acknowledging that technology, work, and social relations are deeply entangled with each other, this paper combines a literature review of anthropomorphisation of AI and emerging technology with a focus on gender and work, and empirical examples drawn from real-world applications and chatbots in the service industry in India, to critically analyse the gendering of technology. We unpack the tendency to ascribe a feminine identity to assistive technology and argue that gendering of emergent assistive technology is performative and relational. It materialises through particularistic manifestations drawing from the sociocultural context. Furthermore, this gendering of technology is co-constituted by the sexual division of labour and gendered norms of work.

Evolutionary treatments of women's work and the sexual division of labour derive from sexual selection theory and focus on an observed cross-cultural trend: tasks performed by women tend to be more compatible with childcare and produce less economic risk than tasks performed by men. Evolutionary models emphasize biological sex differences and opportunity costs to understand this pattern of behaviour, yet deviations remain poorly understood. We examine variation in women's work among Shodagor fisher–traders in Bangladesh with the goal of explaining such deviations related to women's work. First, we demonstrate that women's trading produces higher variance returns than men's work – a pattern not previously quantified. Next, we test predictions from the economy of scale model to understand the socioecological circumstances associated with trading. We suggest that relaxing model assumptions around biological constraints may elucidate key circumstances under which members of one gender should systematically engage in work that is incompatible with childcare and/or produces higher levels of economic risk. Results indicate that biological sex differences are insufficient to explain gendered patterns of behaviour but removal of childcare constraints and comparative advantages related to opportunity costs can explain adherence to and deviation from trends in women's work and the division of labour.