That’s like asking in the early 90’s if knowing how to use a search engine will be a required skill.
Without a doubt. Just don’t rely on it for your own professional knowledge, use it to get the busywork done and automate where you can. I have virtually replaced my search engine needs with Bing AI when troubleshooting at work because it can find PDF manuals for obscure network hardware faster than I can shift through the first five pages of a Google search. It’s also one of those things where the skill of the operator can change the output from garbage to gold. If you can’t describe your problem or articulate what you want the solution to look like, then your AI is going to be just as clueless.
I don’t know what the future will hold and how much of our white collar workforce will be replaced by AI in the coming decades, but our cloud and automation engineers are not only leveraging LLM models but actively programming and training in-house models on company data. Bottom rung data entry is going the way of the dodo in the next ten years for sure. Programmers will likely see the same change that translators did after translation software was developed, they moved from doing the job themselves to QA’ing the software.
Times are changing but getting onboard with using AI as well as learning how to integrate it will be the next big thing in the IT world. It’s not going to replace us anytime soon but it will reduce the workforce as the years go by.
That’s like asking in the early 90’s if knowing how to use a search engine will be a required skill.
Without a doubt. Just don’t rely on it for your own professional knowledge, use it to get the busywork done and automate where you can. I have virtually replaced my search engine needs with Bing AI when troubleshooting at work because it can find PDF manuals for obscure network hardware faster than I can shift through the first five pages of a Google search. It’s also one of those things where the skill of the operator can change the output from garbage to gold. If you can’t describe your problem or articulate what you want the solution to look like, then your AI is going to be just as clueless.
I don’t know what the future will hold and how much of our white collar workforce will be replaced by AI in the coming decades, but our cloud and automation engineers are not only leveraging LLM models but actively programming and training in-house models on company data. Bottom rung data entry is going the way of the dodo in the next ten years for sure. Programmers will likely see the same change that translators did after translation software was developed, they moved from doing the job themselves to QA’ing the software.
Times are changing but getting onboard with using AI as well as learning how to integrate it will be the next big thing in the IT world. It’s not going to replace us anytime soon but it will reduce the workforce as the years go by.