I should say first, I’m mostly thinking about white collar work, I work in applied science. There’s a common refrain that maybe AI won’t replace your job, but rather someone that’s good at using AI will. That idea, I think, means to most people that you should learn the leading edge of how to leverage these tools. However, what that actually means is really dynamic as the tools evolve. Maybe a year ago it was prompting, and then maybe it was data curation, and now I have no idea - but it sure seems a moving target. In any case, you can follow the tech and really learn how to leverage if you want to build and retain relevant skills and subscribe to the idea that those who can leverage will rise to the top. While certainly, understanding and leveraging the best available tools has been and will always be an excellent skill, there is a separate idea that ‘those who know what they’re doing already (i.e. their application space) benefit the most’. This has been my personal experience but its not clear to me if its broadly true or more importantly will remain true. If that second idea is true, its possible that the most valuable skills in the future may look very similar to what they were 5 years ago - deep area expertise, communication skills, leadership, etc. and not understanding how to spin up agents and automate your workflows. Though, the latter is definitely something that will be valuable, its sort of part of the AI/software industry and maybe not broadly a skillset for the workforce. Putting these ideas together, it would seem the best path is to learn how to leverage tools in a way that keeps you thinking, learning, and in the loop. If you trade AI expertise for domain expertise you are effectively moving from one industry to another. Maybe that’s what you want, but I don’t actually want to work in this industry, I want to work with it. submitted by /u/blind-panic
Originally posted by u/blind-panic on r/ArtificialInteligence