I should have said mainstream 1980s. Obviously you can find any number of more sophisticated lanugages in the 1980s by features, give or take the multicore support which, depending on context, was less relevant back then, but not in the mainstream. By that metric ML is still probably "ahead of its time".
I think ML pretty objectively takes that crown, semantically speaking. For simplicity and elegance it's pretty difficult to beat.