Either the thing you want to do is impossible or else a learned model can do it at least almost as well as... idk what the alternative even is, something not learned?
Taking this to the extreme, on an example where I have first-hand experience: I would never recommend replacing your compiler passes with transformers. The latter will be buggier, at best marginally faster, and it will take several orders of magnitude more effort to get them to work well enough for production. ML isn't the right tool. But, I mean, you can do it. You shouldn't. But you can.
To be fair to the article, the title is "won't", not "can't". And that's easier to believe, at least for me. It's not that X is unattainable using ML; it's that some other approach will get there first.