Thinking is hard work. Computers are no exception: In fact, they consume significantly more power when making decisions by recourse to artificial intelligence than people or animals. A dedicated AI processor uses 7000 times more energy than the brain of a bee to recognize a flower in an image, for example. This massive energy consumption is particularly problematic when it comes to transferring artificial intelligence to end devices – such as the sensors built into a bridge to detect changes in the structure’s tension, or in wearable devices that can be switched on and off using voice controls. Applications like these are sometimes referred to as Edge AI. That said, this kind of artificial intelligence promises numerous benefits: It is able to function in the absence of an internet connection. It is substantially faster than conventional AI, which involves sending data to a cloud, and analyzing it there. And it safeguards privacy, data sovereignty, security, and safety, as data is only relinquished to the extent absolutely necessary, if at all. The main obstacle so far, however, is the vast energy consumption of the components involved.