You try 3D printing a house on a Pentium, or running inference models. We needed the compute. We need so much compute it boggles the mind and we don't know what to do with it.
Only then, as we are drowning in compute, does it spill over into other areas and allow that compute to be used as leverage towards enhancing or automating areas compute has yet to break into. Only then are crazy ideas like having large clusters of transistors act as neurons in a neural net actually possible, and efficient enough.
This is at least what I mean when I occasionally say something flippant like "(technology/computers/software) will eat the world". Maybe our relentless pursuit of more compute isn't the best way to solve complex problems, but it increasingly seems like it may be a way.