I’ve been working for more than 26 years with Machine Translation, the technology whose evolution has given rise to transformer networks, which are at the heart of generative AI systems. The fundamental challenge throughout has been change management among the users and benefactors of the technology: expectation setting, fair compensation for translators, who are asked to validate and correct machine-generated translations, and adequate training so that today’s language professionals can successfully bring their skills and passion to bear on the expert and responsible use of language-generating AI systems. 
It’s surprising to me that we struggle with the idea that the primary limitation of AI is our own imagination and skill: we design these systems and then prompt them to act. How we do these things – and how ethically we do them – are up to us. We also have trouble recognizing how quickly we adapt our lives to new technology and how deep the implications of such technological change can be.