They said AI made your job unnecessary. Now they’re discovering the people they cut may have been the people they still needed.
The AI-era layoff story is getting a strange sequel: boomerang hiring.
Companies that eliminated jobs in the name of AI are increasingly reaching back out to former employees. Amazon is recruiting some workers it previously laid off. Meta has asked some reassigned employees to return to management. And at smaller companies, executives are openly admitting that they moved too quickly.
Maria Colacurcio, CEO of Syndio, is one example. Her company laid off five employees, including labor economists and other domain experts, during an AI-driven restructuring. Weeks later, she concluded that the technology wasn't ready to replace everything those employees brought to the business.
Syndio eventually rehired one of them.
The former employee, Jonathan Vidales, said he wished the company had considered him for his new role before letting him go.
That's the uncomfortable question behind the AI layoff wave:
Did companies eliminate people before they understood what AI could—and couldn't—replace?
The answer appears increasingly complicated.
AI can automate tedious work, accelerate research, and change how employees spend their time. But expertise, customer relationships, institutional knowledge, judgment, and the ability to navigate a company's internal machinery don't necessarily disappear when software improves.
And once those people leave, rebuilding that knowledge can be expensive.
That's one reason "boomerang employees" are becoming more attractive. Revelio Labs found that former employees accounted for 3.4% of US new hires at the end of 2025, up from 3.1% two years earlier.
Companies aren't necessarily admitting they made a mistake. But the hiring pattern tells its own story.
An employee who already understands the product, customers, culture, systems, and people can be productive much faster than someone starting from zero.
For workers, however, the calculation is different.
Going back can mean returning to familiar territory with better skills, a stronger negotiating position, and new experience. It can also mean walking back into the same organization that decided you weren't needed.
Some workers simply don't want to.
After Google laid off Rob Waters, the company encouraged him to apply for another role. He ultimately chose to pursue his own venture instead.
The lesson isn't that AI won't replace jobs. It's that companies may be discovering the difference between replacing tasks and replacing people.
And for workers who get that dreaded layoff email, there's a new possibility worth remembering:
The company that lets you go today may be the company asking for you back tomorrow.