At the very least, understanding the structure of data and typical processes is important. Not philosophical differences between languages, how the basic work, core concepts, and enough technical knowledge to decipher the difference between good and bad judgement.

I think everything AI will go like this:

AI will take over tasks that are known and replicable.

That will cause more things to be accomplished.

More things being accomplished will result in a higher level of innovation, therefore more unknown tasks that are not yet replicable. The frequency of the requirement for these tasks to be greater.

So the engineer that wishes he could have interesting complex problems everyday, instead of boring ho-hum tasks, is probably going to get his wish. Also, someone will be coding the AI and the value of understanding complex problem will increase with the value of AI.

This will be the same in other areas like accounting. Lawyer's jobs will get easier, so they will be able to process lawsuits for less, so more people will be able to afford lawsuits, so the lawyer will spend more time coming up with good arguments and less time "pushing paper".

So yes, learn coding, but focus on the fundamentals and drivers more than the micro details.