The AI stuff isn't sensible either. In the very simplest example, there is no AI that understands natural language. There's speech-to-text that can identify words (which is a difficult problem), but none that can understand what you actually mean. Synthesized human intelligence is just way too hard a problem for us to solve in the near future without some sort of Ancient Aliens-level technological advancement.
Anything that depends on such an advance, such as "building a biological simulator", is basically impossible. But even if it were possible, market forces still dictate whether a new technology is adopted or not. (see: the electric car vs the electrified train)
> In the very simplest example, there is no AI that understands natural language.
Come on, now - understanding natural language is pretty much the 0 yard line when it comes to AGI, the fact that it's not solved now doesn't tell us anything about how far away it is.
And I'd be on the lookout for massive advances in NLP over the next couple of years; there have been enormous leaps in 2018 alone when it comes to how good we are at understanding text (better applications of transformer models, high quality pre-trained base models, etc.), and now that there have been a few high-profile successes we're likely to see that field evolve just like computer vision has, even though I grant that it's a much harder problem in general.
Anything that depends on such an advance, such as "building a biological simulator", is basically impossible. But even if it were possible, market forces still dictate whether a new technology is adopted or not. (see: the electric car vs the electrified train)