"This study delves into the intricate realm of gender and artificial intelligence (AI) through an examination of DALL-E 2-generated images within the Indian context. It takes a methodological approach that focuses on assessing images generated in response to prompts such as ‘a farmer cultivating crops in rural Punjab’ to reveal the dynamics of gender performativity within professions. The generated images were thematically analysed using dress as a phenomenon to visualise Indian man, Indian woman and ambiguous Indian. The study concludes that DALL-E 2 reinforces the binary gender norms, leaving no space for ambiguous Indian in its responses. Although the generated image is centred on female professions, it is frequently employed in ‘male’ surroundings. Hindu religious symbols are largely used among male professionals to denote religious and gender predominance. A brown complexion reflects demographics regardless of gender, while female professionals tend to undergo a process of aesthetic enhancement, suggesting societal beauty standards." (Abstract)