‘AI Won’t Take Your Job’ and Other Things CEOs Say Before the Layoffs

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By JAIME RAUL ZEPEDA

Gartner surveyed 350 executives at billion-dollar companies already deploying AI agents, automation, and digital twins. Eighty percent cut headcount. Some by as much as 20%. The companies that cut the most showed nearly identical financial returns to the companies that cut the least. In several cases, the ones that cut less performed better.

That finding should make us uncomfortable, because most of us have sat in an all-hands where a CEO said some version of “AI isn’t here to replace you, it’s here to help you.” I’ve heard it dozens of times. I think most leaders believe it when they say it. But 80% of the companies actually deploying AI have already reduced their workforce, and the data says it didn’t improve their returns. Something between the intention and the execution is breaking down.

I’ve spent 15 years studying how organizations treat their people. There’s a pattern I’ve seen over and over: when the pressure to show returns builds, headcount becomes the easiest lever to pull. AI gives that decision a more palatable story. It sounds forward-thinking. It gives the CFO a slide showing headcount reduction as “efficiency gains” and lets leadership frame the cuts as progress. But Gartner’s own analyst drew a line worth paying attention to: workforce reductions create budget room, not return. Those are different things, and most organizations are treating them as the same.

What concerns me more is what happens after the cuts.

Companies are buying Claude subscriptions and dropping AI agents into workflows the way they used to drop Slack into a company and call it a “collaboration strategy.” No training plan. No change management. No real thought about how humans on the team are supposed to integrate a tool that changes the shape of their work overnight. The assumption seems to be that the technology is so good it’ll figure itself out.

It won’t.

Technology adoption has never been a technology problem. It’s a people problem. I’ve watched companies spend millions on engagement platforms and see zero movement because nobody trained the managers to use the data. The same thing is happening with AI right now, at scale. The tool is extraordinary. I use Claude every day, and it makes me faster, sharper, more precise. But I had to learn where it fits and where it doesn’t. I had to build a process around it. That took time, intention, and a willingness to change how I work. Most organizations are skipping that entirely and going straight to headcount reduction.

Gartner found that some companies that moved too fast were forced to rehire employees shortly after letting them go. Klarna cut 700 customer service roles, watched quality decline, and started hiring again. IBM automated large parts of HR and reversed course when the systems couldn’t handle judgment calls. The pattern is consistent enough to take seriously. Organizations are making permanent workforce decisions based on where AI is right now, while the technology is still shifting underneath them.

I think about this in the context of what I see every week in consulting. The companies that get the most out of their engagement data aren’t the ones with the best dashboards. They’re the ones where a manager sits down with a team and says, “Here’s what the numbers say. What do you think?” That conversation, where a person looks another person in the eye and asks a real question, is where change actually happens. AI can inform that moment. It can’t replace it.

The organizations that will get this right are the ones treating AI the way you’d treat any high-performing new hire. You onboard it. You train people to work alongside it. You redesign workflows so humans and the tool are each doing what they do best. You give it a change management plan, because that’s what any significant operational shift requires. The human connection to work still matters here, maybe more than ever, because the companies that lose that connection in the name of efficiency will feel it. Not immediately. But steadily.

The Gartner data is early. AI capabilities are advancing fast, and some of today’s conclusions may look different in two years. But right now, the evidence says cutting people isn’t producing better returns. And the organizations that invested in their people through this period of uncertainty will have something the others won’t: the institutional knowledge, the relationships, and the trust that no tool can rebuild from scratch.

Jaime Raul Zepeda is the Executive Vice President and Principal Consultant at Best Companies Group. Connect with him on LinkedIn or email him to learn more about how Best Companies Group can help you build a great workplace: [email protected]

Source: https://www.gartner.com/en/newsroom/press-releases/2026-05-05-gartner-says-autonomous-business-and-artificial-intelligence-layoffs-may-create-budget-room-but-do-not-deliver-returns