How AI Will (and Won’t) Take Your Job in 2026

You’ve probably heard the refrain that AI can replace your job—if not now, then in the future. This may be especially true if you’re employed in a profession that involves tasks AI can excel at, like coding, writing, and conducting research.

While CEOs and top executives have warned that advances in AI could lead to widespread job loss or alter the nature of work, when can workers expect these changes to occur? Are they coming as soon as 2026?

The Impact Of AI On The Job Market Isn’t Widespread

Although some companies have reportedly used AI to automate jobs, it still hasn’t had broad effects on the labor market, according to Chris Martin, lead researcher at Glassdoor.

“Results have mostly turned up nothing yet,” said Martin. “There’s very scant evidence that AI has replaced workers in 2025.”

And while some experts think the high unemployment rate for recent college grads (4.8% for college grads versus 4% for all workers) is a sign that companies are already favoring AI over entry-level workers, Martha Gimbel, executive director of the Budget Lab at Yale, said the hiring slowdown is due to broader economic changes.

“The unemployment rate for entry-level college graduates has been going up for some time,” said Gimbel. “That’s really a combination of two things: one is a weakening labor market overall, which is going to impact people who are just entering, and also the fact that more people are getting bachelor’s degrees than used to in the past.”

It Might Take Years For Changes To Occur

As for when broader automation by AI could happen, an analysis from the Federal Reserve Bank of Dallas suggests it may not happen in the next decade.

The researchers first evaluated the accuracy of past predictions about computers replacing certain occupations. Then they used that data to determine whether current expectations of AI-driven job replacement were plausible.

“Many jobs once feared to be at risk didn’t end up showing major decline in employment data,” the researchers wrote. “Though rapid improvements in AI capabilities could lead to large workforce effects, over the next decade, that worry can be tempered by the current data and the fact that concerns about technological unemployment are not new and rarely come to pass as first anticipated.”

Gimbel and Martin also think it’s improbable that AI will automate wide swathes of the workforce in 2026—or even the year after that.

“It has only been three years [since ChatGPT was released]. It would be unprecedented if a new technology had massively disrupted the workforce in three years,” said Gimbel. “These kinds of things take time. Companies have to figure out how to use it. People have to figure out how to use it. They have to figure out liability.”

For those who work in careers that are more exposed to AI and are concerned about it, Martin suggests experimenting with the technology and seeing how you can use it on the job.

“What are the things that you do on a day-to-day basis AI struggles to do?” said Martin. “This gives you a chance to leverage AI where it works for your profession and get a sense of how far off the technology is from actually replacing you as a worker.”