The company (Mythic AI) in the article was featured on a Veritasium video[1] about analog computing.
The interesting part for analog is obviously going to be wear and repeatability, because the digital layer auto-corrects the errors until it becomes damaged and unusable clearly, while analog will slide off somewhat gracefully but you need a way to detect it happening multiple layers later.
AI is somewhat tolerant of errors since, the cumulative error across a lot of biases can approach zero if the errors are random.