https://www.nature.com/articles/d41586-024-03408-z?mc_cid=eaa1a99559&mc_eid=7f01981b78 The data centres needed to power AI are guzzling electricity by the gigajoule. By 2026, the International Energy Agency predicts data centres’ energy consumption will increase by between 35% and 128%, adding each year something between the annual energy consumption of Sweden and Germany. Potential remedies for this looming energy crisis include introducing new chip architectures, switching to analogue computing and using photonics to encode data in light instead of wires. At this point of potential crisis, many hardware designers see an opportunity to remake the basic blueprint of computer chips to make them more energy efficient. Doing so will not only help AI to work more efficiently in data centres, but also enable more AI tasks to be carried out directly on personal devices, for which battery life is often crucial. However, to convince industry to embrace such large architect...