For people learning ML how are you thinking about long-term career direction right now?

I’m currently learning machine learning and trying to be more intentional about where this path leads. With how fast models tooling and automation are evolving I’m finding it harder to answer questions like: * What kinds of ML-related roles are likely to grow vs get compressed? * Which skills actually compound over time instead of becoming quickly abstracted away? * How much should learners focus on theory vs applied vs domain depth? For those already working in or around ML: How are you personally thinking about long-term career direction in this field? What would you prioritize if you were starting again today?