Sure this can probably account for 80% of the general use cases, and surely the remaining 20% are the highly complex, low occurrence cases.
But I think saying this took 30 years is cheating a bit. There were fits and starts and long periods of no development until breakthroughs in other fields (machine learning) occured, which can now get us the rest of the way. Not to mention, the pareto principle doesn't account for Moore's law
That assumes that the remaining problems are best solved using our current machine learning techniques. It may be that it takes several additional long periods to find the breakthroughs necessary to finally solve the remaining problems. 100 years can go by quite fast.
But I think saying this took 30 years is cheating a bit. There were fits and starts and long periods of no development until breakthroughs in other fields (machine learning) occured, which can now get us the rest of the way. Not to mention, the pareto principle doesn't account for Moore's law