Gonna have to disagree there. A lot of models are being used to reallocate cognitive burden.
A phd level biologist with access to the models we can envision in the future will probably be exponentially more valuable than entire bio startups are today. This is because s/he will be using the model to reallocate cognitive burden.
At the same time, I'm not naive. I know that there will be many, many non phd level biologist wannabes that attempt to use models to remove entirely cognitive burden. But what they will discover is that they are unable to hold a candle to the domain expert reallocating cognitive burden.
Models don't cause cognitive decline. They make cognitive labor exponentially more valuable than it is today. With the problem being that it creates an even more extreme "winner take all" economic environment that a growing population has to live in. What happens when a startup really only needs a few business types and a small team of domain experts? Today, a successful startup might be hundreds of jobs. What happens when it's just a couple dozen? Or not even a dozen? (Other than the founders and investors capturing even more wealth than they do presently.)
Read Neil Postman or Daniel Boorstin or Marshall McLuhan or Sherry Turkle. The medium is the message.
Yet, if we trust all these VC-backed AI startups and assume that it will continue growing rapidly, e.g., at least linearly, over the next years, I'm afraid that it may indeed reach a superhuman _intelligence_ level (let's say p99 or maybe even p999 of the population) in most of the areas. And then why do you need this top of the notch smart-ass human biologist if you can as well buy a few racks of TPUs?
If you can’t ask the right questions, like everyone without a phd in biology, you’re kind of out of luck. The superhuman intelligence will just spin forever trying to figure out what you’re talking about.