1.GPT-4 and co are really, really good at python, and will write 90% of boilerplate for you. That makes a python dev way more productive than the Julia one. There is way, way less data on Julia, so the ceiling for AI assisted Julia is way lower.

2.Data science is not just running fancy statistical functions. Its also API calls to like 10 services. You can setup a PDF->OCR->GPT processed text->Send to vector database with a few API calls in python. There's a python package for everything, and everything put into one script.

3.Did you know everyone using stable diffusion (millions), has to install pytorch and like 50 packages in python? Now 95% will just use auto-installers. But the remainder 5%, will be exposed to python, and forced to learn it if they want to use AI art professionally (scripting) or do further development in it. When you see hordes of nerds desperately learning python to generate waifu pictures on google collab notebooks, you know a language will be dominant for decades to come.