Generative AI in Practice

5IMPACT OF GENERATIVE AI ON JOBS

A 2023 report by Indeed analyzed job listings and skills to identify their exposure to GenAI automation. And the findings were eye-opening:¹ roughly 20% of jobs were found to be “highly exposed” to GenAI, meaning the technology is considered good or excellent at 80% or more of all skills for that job. A further 45% of jobs were “moderately exposed,” meaning that GenAI can do 50–80% of the work. And the remaining 34% of jobs were “low or minimally” exposed – but even that means that GenAI is good or excellent at up to 50% of the work.

In other words, almost every job you can think of will be impacted by GenAI to some extent. Some will become redundant, many will be augmented or altered by AI tools, and new jobs will be created.

How at Risk Is Your Job?

I hope this chapter will help you answer that question, but perhaps a better question to ask is: “How does my work add value to the world?” In this age of intelligent machines, I think this is a question everyone – including myself – should be asking.

Having considered the value you bring, next ask yourself: “Can machines deliver that value, either today or in the medium-term future?” (Because no one can predict the distant future.) Break your job down into its component tasks and core skills, and compare those elements to GenAI capabilities. Based on what you're discovering about GenAI, could the technology be considered good (or even excellent) at those skills and tasks?

As you'll see in this ...