I forget who first made this argument, but it basically was a response to critics of philosophy. Critics would challenge the field by asking if philosophy has made any real contributions to human knowledge. Has it actually discovered anything that's both non-obvious and conclusively true?
And apologists would that philosophy has made huge, unambiguous contributions. Only once this happens, those fields tend to be no longer considered "philosophy". Astronomy, physics, economics, and logic were all sub-domains of philosophy originally. Once they were formalized, with rigorous, specialized methods they moved into their own standalone fields. But it was philosophers who laid the foundation. Consequently when we think of "philosophy", there's a lot of selection bias, because it's basically the subset of open unsolved problems that remain.
I think there'a a close analogy here with what we think of as generalized "business problems". There are many specialized sub-fields like finance, logistics, marketing, industrial psychology, and accounting. All of those things used to be thought of as a generic part of business. But eventually domain-specific methods and technologies led to the point where specialized practitioners unambiguously out-performed generalist C-suite executives.
Think of techniques like Markowitz portfolio optimization, or five factory personality testing, or applying Benford's law to profile for accounting fraud. Those are all examples where something like AI/ML solved what at the time was a generic business problem. But afterwards it was now just considered a success of the respective sub-field that those techniques helped create.
The point I'm making is that formal rules-based processes (I won't use AI/ML here because it's so ambiguous, especially in a historical context) have had a long history of success in business. We just don't recognize it because we're begging the question. What we think of as "generalized business issues" is mainly those open problems that haven't yet succumbed to specialized formal techniques.