The answer to most of these kinds of questions of generalist versus specialist when it comes to AI, according to Richard Sutton's "The Bitter Lesson"[1], is that specialized AI will win for a while, but generalized will always win the long-term because it's better at turning compute into results.
Whether or not that will pan out with "fine tuned" versus "generalized" versions of the same data-eating algorithms remains to be seen, but I suspect the bitter lesson might still apply.
Whether or not that will pan out with "fine tuned" versus "generalized" versions of the same data-eating algorithms remains to be seen, but I suspect the bitter lesson might still apply.
1: http://www.incompleteideas.net/IncIdeas/BitterLesson.html