One possible use for these is to facilitate lab -> this -> real world for robot models. Basically better than lab / algorithmically designed environments and cheaper / easier to train on than real life. Something that "looks" like real life and can scale, to apply RL for robotics to.
Anyway, let's take your theory to its logical conclusion: the product development between real and simulated soft tissue behavior is much bigger than Exponential Time being a hypothesis and being proven. There isn't some effective acceleraltruist path here. Dario Amodei was a biotech dropout. The thing you are betting on which Google is not doing anyway, maybe they will destroy the descriptive single cell sequencing paper mill, but they're not going to be able to simulate the fat inside a BMI 30 abuela undergoing a gallbladder removal.
It's a dystopian business use case that I hope will get obliterated in the near future as the generations that believe in this stuff and are fascinated by it age out of the population.