This sounds to me like a classic non-sequitur to me, unless somebody has established that the way biological intelligence works is the only way intelligence could possibly work. And that premise is directly contradicted by all of the intelligent behavior (ignoring the notion of "real intelligence" for the moment since that term is undefined) that has been demonstrated by artificial intelligence programs running on digital computers over the years.
Of course, as the old saying about AI goes "Once it works, it isn't consider artificial intelligence anymore." :-(
Yes this is true. But if life persists it demonstrates that a solution that works has been found. Because of time, energy constraints the best solution to an abstract objective function may not not be the optimal real world result. Over successive generations, however evolution will tend toward a better solution to for the problems that life faces. If AI researchers do not simulate the evolutionary process of life then they need to come up with a better heuristic for finding solutions than evolution. So far general intelligence, in humans and animals has only been demonstrated as a result of the evolutionary process and learning using evolved brain structures during life.
As far as I know we have found some good approaches for pattern matching and even problems solving in constrained domains like GO but nobody has yet simulated a general intelligence with a computer model. I argue that is because nobody has modelled a living biological agent yet to a sufficient degree of fidelity.
PS. Jet aircraft are very inefficient from an evolutionary perspective.