The Python tie in was always a sales pitch. The technical pitch was "a language built around MLIR taking all the lessons learned by Rust and Swift on board, with an eye towards Python interop". There were MLIR intrinsics and extensive discussions of the ownership model from the start, but never even an attempt to have classes.
And the main use of the language (and justification for the VC money) was always the engine built with it, which I have absolutely no opinion on.
Honestly, the promise of the language is immense. Ownership semantics that have much better ergonomics and are much more teachable than Rusts, and eventually a relatively smooth teaching path from Python to Mojo would make Mojo a default first modern low level language for many people coming in. Whether this will be relevant in the LLM world we live in now, where you can just take your Python prototype and have it be rewritten in Rust, who knows...
I am already using agentic orchestration tools where the language is irrelevant, e.g. Opal, Workato, Boomi.
The evolution of iPaaS low coding tools.
Just like you can take some high level code in a dynamic language and expect the JIT compiler to do the best every time, under completly different execution patterns, so will LLM based development eventually become like that.
COBOL is already laughing at the efforts to write so much English text to keep AI on track.