Gretzky: Skate to where the puck is going to be. Or in this case, pucks, Julia being one of the pucks..
Putting on my O.R. hat and viewing language usage as a dynamic system, Julia is on a significant upward trajectory in academia. The increasing number of undergraduate and graduate students using Julia in school seems likely to lead, with some lag, to increasing use in industry. Yes, some of these students who eagerly arrive at their new workplace, bright-eyed and bushy-tailed, wanting to use Julia at work, will confront the harsh reality of being forced to use other language(s). But given the increasing flow of Julia users/enthusiasts into the workplace, they are bound to break through. And once they start to do so in a meaningful way, Julia usage could start to pick up quickly in industry. Knee of the curve, and all that.
I say this as primarily a MATLAB user (yes, I'm a dinosaur). But MATLAB was the new language I increasingly switched to from FORTRAN and various defunct Algol derivatives and other dead languages, and C, which I was forced to use for various things (and back in 1982, I had to grade stochastic simulation homework, with some of the programs written in Pascal, even though I didn't know Pascal). BTW, MATLAB is still heavily used for design analysis and algorithm prototyping at some very large companies in the engineering arena, even though for real-time use, algorithms are generally implemented in an appropriate language (and that's not usually Python).
This answer is meant to be complementary to the existing excellent answers.