What the article is talking about is how AI is a multiplier, and to get benefits from using it, rather than detriments, you need to get your house in order first:

The Widening AI Value Gap report by BCG found a similar result from a different angle, where 74% of companies struggle to scale AI value, with only 21% of pilots reaching production. The other 5% generating real returns had first built fit-for-purpose technology architecture and data foundations. This suggests that the problem is not AI but the underlying infrastructure to which it is being added.

AI scales the groundwork; teams that successfully adopt AI typically already have solid foundational practices in place, while those lacking them struggle to get value from their AI investments.