We dont yet have proof AI can "imagine" new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.
This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.
Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can't readily be created by a computer.
*Nvidias drivers for linux, which they keep closed source