>all of their revenue is now from ML. PageRank is ancient stuff. Seems like they would be making the same money either way, so the ML advantage might not be th

>all of their revenue is now from ML. PageRank is ancient stuff. Seems like they would be making the same money either way, so the ML advantage might not be the major factor. Conway's Law really does seem to show here. If you replace occurrences of AI in the article with Natural Intelligence that is what so many companies really need to implement more of beforehand. That way any decision-making that is delegated to AI afterward will not have the same limitations that the organization already had. You usually don't want a business model with an anti-growth pattern baked into an even more opaque and unchangeable feature. Problem is, deep application of the NI is going to get you most of the way you want to go business-wise, after that the AI might be even more difficult to justify. Industrial-wise, with unique & complex equipment & data, where an operator gains skill through familiarity with both, a machine can be trained to gain some of that skill. But there will always need to be someone better trained than the machine in order to get the most out of the machine. The best investment is often going to be in a system to leverage their ability rather than try to operate without them at all.