Forrester made headlines recently, predicting that AI will eliminate half of all customer service jobs by 2030. One model they shared showed a contact center of 1,000 people shrinking to 40 within four years. If you lead a team, you felt that number.
Here’s what I’d push back on: that’s not the question leaders should be asking. The real question is whether you’re leading your people through this shift, or leaving them to read headlines and wonder where they stand.
The data is real. The panic is optional.
Repetitive, low-complexity work is genuinely going away. If a task doesn’t require critical thinking or applied strategy, AI can handle it, and probably should. I don’t think that’s a tragedy. I think it’s an opportunity that some organizations are too reactive to see clearly.
What the Forrester report doesn’t fully capture is the difference between jobs disappearing and roles evolving. Yes, you likely need fewer people processing routine inquiries. But you still need someone managing that infrastructure, catching the edge cases, and applying judgment when the system breaks down. Automation doesn’t eliminate the need for humans. It changes what those humans need to be good at.
The leaders I worry about aren’t the ones taking AI seriously. They’re the ones treating it as a headcount exercise rather than a capability-building moment.
The P&L argument most leaders are getting wrong
There’s a growing conversation in tech circles suggesting that AI infrastructure costs will eventually outpace the savings from reduced headcount. I’ve watched this closely, and I don’t buy it, particularly for organizations that invest in building customized AI tools tied to their specific processes, not just generic software subscriptions.
Built right, AI compounds. A well-designed system that understands your workflows, your terminology, and your client context gets more valuable over time. Headcount doesn’t scale that way.
But here’s the more important point: the real ROI isn’t on the cost side of the ledger. It’s on the revenue side. When you free your best people from administrative drag, two things tend to happen. They do better work, which retains clients and attracts new ones. Or they have the capacity to develop new revenue streams that wouldn’t have been possible when they were buried in execution. Either way, you’re not just cutting costs; you’re building a more capable organization.
Optimizing the P&L is always the right instinct. Doing it by cutting strategy and critical thinking is where it goes wrong.
Upskill first. Every time.
The instinct to reduce headcount when automation comes in is understandable. It’s also shortsighted in ways that take years to feel.
Institutional knowledge is harder to replace than most leaders realize. I’m not just talking about expertise in a specialized field. I mean the person who knows why a process works the way it does, who the difficult clients are, where the landmines are buried. That knowledge doesn’t show up in a job description, and you can’t hire for it. It lives in tenure, and when it walks out the door, it’s gone.
The better move, almost every time, is to identify who on your team can adapt and invest in them. Give them the tools. Give them the runway. Help them find a higher-value role within the business rather than eliminating them in favor of a cheaper process.
And then be honest about what you’re looking for. The people who will thrive in this environment are the ones who approach new tools with curiosity rather than resistance. That’s not a personality judgment. It’s a practical one. AI is not a trend you wait out. The speed at which it’s reshaping how organizations operate is faster than anything most of us have seen in our careers. If someone on your team genuinely cannot or will not engage with that reality, you’re carrying drag at a moment when the market rewards speed.
That’s not a comfortable thing to say, but it’s still true.
What getting this right actually looks like
The leaders who navigate this well won’t be remembered for the headcount they cut. They’ll be remembered for the teams they built on the other side of a genuinely difficult transition.
The can is open. AI is not going back in the box, and the organizations that treat it as a threat to manage will fall behind the ones that treat it as leverage to build on. Your job as a leader isn’t to protect your team from this shift. It’s to make sure your team is equipped to lead it.
Taking a clear stance on AI isn’t a technology decision. It’s a leadership decision. Make it deliberately, communicate it openly, and build toward it with intention. The teams that come out ahead won’t be the ones that used AI to shrink. They’ll be the ones that used it to grow into something better than what they were before.
