Discussions surrounding AI-generated images mainly rest on questions regarding aesthetics; however, underneath this debate are more pressing questions regarding the labour. With the rise of AI, invisible labour extends to large-scale operations where billions of images and text samples are needed. I argue that the labour required for AI-generated images not only goes unnoticed but becomes actively hidden. I demonstrate that AI-generated images do not simply appear, but instead require a significant amount of human labour in the form of data creation, gathering, and classification. Besides an extensive theoretical exploration of invisible labour, this adds an empirical dimension by conducting semi-structured interviews with artists, computer scientists, and people inhibiting a ‘double role’. I show that the dichotomy between visibility and invisibility is not applicable in AI; instead, the socio-economic context and labour relations classify if something is invisible labour or not.