This chapter considers reactions to two types of artificial intelligence (AI), conventional neural machine translation (NMT), and large language models (LLMs), in two very different contexts, multilingual news production and literary translation. In news production NMT is seen as a trusted technology that allows journalists to make existing content accessible to new audiences. LLMs, as an instance of generative AI, meanwhile, are considered potentially dangerous and in need of monitoring and regulation. In literary translation, antagonism towards both technologies is common, with prominent literary translators arguing that machine translation is not really translation and that there are no good applications of AI in their field. The implications of these widely diverging understandings are considered, and the chapter concludes that it is not the technology alone that will shape the future; rather it is the way in which AI is accommodated in the wider socio-cultural, legal, and economic context that will have the greatest bearing on the lives of journalists and literary translators alike.