I think you are asking an ill-posed question in parts. Julia has a lot of great things, and needs to continue evolving to find an even better fit amongst the many programming languages available today and sustain itself long-term.

Emulating Python's ML ecosystem is not going to be a viable strategy. The investment into the Python-based standard is just too large.

What I could see happening though is that the continuous evolution of the ML ecosystem will further abstract components of the software stack down to an MLIR/LLVM abstraction level at which point something like Julia could also use this componentry. Sort of a continuum of components, where the "frontend" language and associated programming style is the remaining choice for the user to make.