I mean mostly in the sense that it takes mathematically modelling programming and the machine being programmed very seriously and it allows you to build tall towers of abstraction on top. Compare this to C++ for example where many of the mechanisms for building abstractions are accidental or C where abstractions are not really possible.
Actually I think that in the long term most languages with automatic memory management will just adopt some form of affine types for high performance code sections, and that will be it.
We will keep the productivity of the existing eco-systems and tooling, with an additional tool for the 1% of use cases that it actually matters.
If even that. I think in a lot of cases, it doesn't really matter, and most already allow linking to a library, which works well enough for Python at least, and should be fine for most application development purposes.
Languages like Rust and Zig are just on a different level, for cases where performance or hardware restrictions are the number one concern.
