We've always been the ones that have had to adapt to technology. Systems have abstractions, rules and interfaces. You need to master them for the tools to be useful. Want to drive a car? Learn how the pedals work, understand gear shifts, practice parking. Want to use software? Study the menus, memorize the shortcuts, figure out the workflows. We even build institutions around made up abstractions. This pattern has been consistent: learn the rules, master the process. The burden of adaptation falls on us. But when we interact with AI systems, we don't need specialized commands or syntax. We simply express what we want in natural language, the way we naturally think and communicate. "Make this image brighter" replaces manual slider adjustments. "Fix this code" replaces debugging and looking through documentation. Many things are changing, but I think the consequences of this inversion are still largely understudied. We are getting back our mental energy for actual problem-solving rather than tool operation. It allows us to work at the speed of thought rather than at the speed of interface navigation. For once, the tools are conforming to us, not the other way around. The technology is meeting us where we are.