Maybe a general solution just isn't cost effective and may never be cost effective, regardless of how much we bring down actual costs for the resources involved

Maybe a general solution just isn't cost effective and may never be cost effective, regardless of how much we bring down actual costs for the resources involved in solving data-intensive problems. The (possible) reason? The performance advantage you gain from tailoring specifics to structural relationships within exceptionally large datasets may just be too large to trade off for some "generalized" solution. I'm just speculating, of course. I was sort of entertaining your idea and going back and forth between "a sounds-good fantasy" and "No, that would be awesome, why does this not exist?"