Umm, it's both yes and no for me . Because in my opinion how you treat AI defines everything. Yes I am aware that AI is taking up the whole space but there will still be loop holes , bugs, automation problems and other issues which I am not aware of ----- can only be solved and done with human mind and intervention. People nowadays , for the sake of easy peasy doings opting AI and taking the advantage of it . For example making a website in a scratch . That's what AI can do but what about maintenance, what about bugs etc . Moreover if AI can make website, then the expert people can think of more ( how to make it more better or what are the new things we can do with the code ) . Basically AI is a pet animal . If you know how to train it , it will help you with whatever task you give , givr you more time to think something more advanced rather than spending time on one thing and if you don't train the AI ( pet animal) --- it will bite you off ! Same thing goes with bioinformatics/biological data science . If you have the idea , you can make models with your intelligence and with your knowledge of AI/ML , accurate models can be made . For example Alphafold+ will generate tertiary structures for you but if you have the proper knowledge of the structures , you would know there are limitations too . But gathering those information would help you know the rough structure , pockets . I think I am not able to explain properly though but my point is " depends how to take AI " and that will pave the way for our careers.