https://danuker.go.ro/programming-languages.html#non-math-ma...
So, it can express an average Rosetta Code non-math task in ~180 bytes, compared to Python, ~270, or Java, ~420. I guess this is because of its vast libraries of "batteries included".
Where it all falls apart is sharing. Nobody can run my creation, and even Mathematica Home Cloud is $194/year, which I find pretty steep, being used to free & libre software.
Monetizing is a whole different story, with commercial licenses starting at $1620/yr, which I could only justify if I already had a team wanting to learn the language and a large-ish profitable business service whose source code I wanted to convert to a locked-in solution for some reason.
They also run regular sales on all their products. Pi day is coming up.
But if I have an actually nasty equation to solve, like a system of differential equations with erf functions or something, I do actually go to wolfram alpha for help. It happens more often than I'd like, it's especially nice that no matter how nasty the equations you can still use units.