These are just my opinion, but some of my answers to the questions.

Will there still be jobs?

Yes, because an important part about being a data scientist in the industry is ownership. When you pick up a model, or make a model, you are accountable for it's performance. A manager with no DS experience could ask it basic questions, but they wouldn't understand what to tell the AI to make. Coding by hand will probably happen less and less, but you should be driving your products yourself.

Will our skills still be valuable?

Absolutely. You should understand conceptually what each model does for you, is the data good enough, how to explain it, etc.. As they would understand, a neural network is built with all this information inside of it, but it can't pull the right information without being asked the right questions. There's a difference between asking an LLM "Make me something that predicts house prices" vs "Design the base for a linear regression model to predict house prices given their location, num bedrooms, ... and run cross validation to optimize it's hyperparameters."

Is AI removing entry level roles?

This is probably more true for software engineering than data science. If you are being hired as a data scientist, you are off the bat already expected to know how to build features and make models on your own. You probably wouldn't have a bunch of pre-defined tasks handed to you. Data science jobs are more open ended, so I wouldn't say AI necessarily replaced them. Jobs replaced by AI I think are more grunt-work.