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I'm saying that forcing particular technology leads to worse products in many cases.

I understand, but think that in many relevant cases it'd now be non-ML approaches that would be "forced". Machine learning is just the easiest and best way to accomplish a large range of tasks.

I guess a general application of statistics and control is going to be called ML then? If that's the world we're living in then I wonder how the missing fraction are being governed. Pure malice?

Not all applications of statistics/control are ML - I don't know what I said to give that impression.

A spam filter based on regex or manually-selected criteria and thresholds would not be ML for instance, whereas modern effective spam filters typically do make use of machine learning.

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