It's not the person who does excellent work that gets promoted or climb up the corporate ladder, but the person who knows how to sell their work, as sad as this is.
For tasks like self-driving or spotting cancer in x-rays, they are producing novel result because these kinds of tasks are amenable to reinforcement. The algorithm crashed the car, or it didn't. The patient had cancer, or they didn't.
For tasks like reproducing visual images or reproducing text, it _seems_ like these algorithms are starting to get "creative", but they are not. They are still just regurgitating versions of the data they've been fed. You will never see a truly new style or work of art from DALL-E, because DALL-E will never create something new. Only new flavors of something old or new flavors of the old relationships between old things.
Assuming that it is even possible to describe novel software engineering problems in a way that a machine could understand (i.e. in some complex structured data format), software engineering is still mostly a creative field. So software engineering isn't going to performed by machine learning for the same reason that truly interesting novels or legitimately new musical styles won't be created by machine learning.
Creating something new relies on genuine creativity and new ideas and these models can only make something "new" out of something old.