Generative AI and the Automating of Academia

Abstract The neoliberal transformation of higher education in the UK and an intertwined focus on the productive efficiency and prestige value of universities has led to an epidemic of overwork and precarity among academics. Many are found to be struggling with lofty performance expectations and an insistence that all dimensions of their work consistently achieve positional gains despite ferocious competition and the omnipresent threat of failure. Working under the current audit culture present across education, academics are thus found to overwork or commit to accelerated labour as pre-emptive compensation for the habitual inclemency of peer-review and vagaries of student evaluation, in accommodating the copiousness of ‘invisible’ tasks, and in eluding the myriad crevasses of their precarious labour. The proliferation of generative artificial intelligence (GAI) tools and more specifically, large language models (LLMs) like ChatGPT, offers potential relief for academics and a means to offset intensive demands and discover more of a work-based equilibrium. Through a recent survey of n = 284 UK academics and their use of GAI, we discover, however, that the digitalisation of higher education through GAI tools no more alleviates than extends the dysfunctions of neoliberal logic and deepens academia’s malaise. Notwithstanding, we argue that the proliferating use of GAI tools by academics may be harnessed as a source of positive disruption to the industrialisation of their labour and catalyst of (re)engagement with scholarly craftsmanship.