I watched this happen before: entire categories of work come and go every time technology changes the economics of how businesses operate. When technology lowers the cost of doing something, companies always strive to do more. More campaigns. More products. More analysis. More experimentation. Companies adapt, new roles emerge, and entirely new categories of work get created in the process. 

When spreadsheets became commonplace, companies did not hire fewer finance professionals. They started running analyses that would have been impossible before. When cloud computing made software cheaper to build, companies built more software. AI will follow the same pattern. As the cost of creating, analyzing, and experimenting falls, businesses will not stop doing those things. They will do more of them. So do not spend your time trying to predict which jobs AI will replace. Spend it building the kind of skills that hold their value no matter how the work changes.

When I started Cognitiv in 2015, we were building an AI company before it was mainstream, hiring people for jobs that did not really exist yet. There was no standard org chart or hiring playbook, and many roles changed while people were sitting in them. 

Looking back, my strongest hires were the ones we thought could adapt easily without panicking. The people who learned quickly, communicated clearly, and stayed useful as the ground shifted under them. They were people who loved to learn and had mastered more than one area: engineers who had done more than write code, strategists who understood technology, people who could connect ideas across disciplines and work well under pressure.

AI will eliminate some jobs, but it will create a whole host of new ones. And if you want to get hired in the age of AI, the answer is probably not to become more specialized yourself. Who knows when that specialty will disappear? A young man I mentored just graduated undergrad with a double major in art and computer science. He was hired immediately by Tencent to work on League of Legends because he could design and create the game itself – the combination of tech and creativity was invaluable, and a moat against the coming AI changes. His fellow sole computer science majors are having a much harder time finding jobs. You need to evolve alongside the technology instead of competing directly against it. 

There are entire categories of work I do not see disappearing anytime soon, especially jobs where trust is the product. Enterprise and B2B sales are a good example. Those relationships are built slowly over time. The job is not just knowing the product or having the right answer, but being the person someone calls when something breaks or a deadline slips. We will not hand that kind of trust over to AI anytime soon.

Companies will keep hiring people who can move across disciplines, solve problems under uncertainty, and communicate clearly when the ground is shifting. Those are not soft skills. They are the ones that compound over time in ways AI cannot replicate yet. Whether that window stays open is an open question. What you do with it is not.

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