Not really. A lot of tooling, JSON for example, naturally works with dictionaries. A TypedDict naturally connects with all those tools. In contrast, dataclasses are hostile to the enormous ecosystem of tools that work with dictionaries.
If you store all your data is dataclasses, you end-up having to either convert back to dictionaries or having to rebuild all that tooling. Python's abstract syntax trees are an example. If nodes had been represented with native dictionaries, then pprint would work right out the box. But with every node being its own class, a custom pretty printer is needed.
Dataclasses are cool but people should have a strong preference for Python's native types: list, tuple, dict, and set. Those work with just about everything. In contrast, a new dataclass is opaque and doesn't work with any existing tooling.
