there are also countless of adversarial examples to trick ML algorithms. In fact this is in many ways worse because of the 'idiot savant' character of ML systems, which are almost always oblivious to context and can be tricked in ways that aren't apparent from the design of the system.

In contrast to systems that are legible or even formally verifiable ML systems are entirely unable to provide any guarantees. When someone breaks pagerank at least it's apparent how they broke it. When an ML system mistakes a turtle with a fractal pattern on its shell for a gun nobody knows how to fix the system in any reliable way, other than feed it more data and pray.

One company controls 80% of what is found on the internet. They set rules, restrictions, penalties that are not public. They do not pass any sort of regulatory muster. They rip and tear through businesses standing in their way. They crush out a person's online existence through never explained reasons. They use every advantage they can to tweak a human's emotions, drive and needs to feed more and more advertisements.

You suggest those trying to use every advantage they can to rank higher unscrupulous?

Google's fight to keep search results crisp ended soon after they began selling advertising. Google long ago quit innovating search to be better for people, they've made it better for advertisers.