Integrating AI into an organization can happen in one of two ways. You can use it to subtract. Fewer people, fewer roles, fewer costs, fewer conversations you have to have.
This is the version that makes it into the press release and the earnings call. It’s fast. It’s clean on paper. And it usually leaves the company weaker than it was before.
Or, you can use it to multiply. More capacity, more thinking, more time with customers, more coaching, more strategic bets, more decisions made by people who actually understand the context.
This version is slower to explain. It rarely fits neatly on a slide. But it’s the one that compounds.
Most leaders I talk to say they want the second version. Most organizations are quietly implementing the first. The reason is understandable. AI has speed. It has scale. It has access to more information than any single person could hold. It appears to know more than anyone in the room. And so leaders start believing the answer to almost every business question is fewer humans and more AI. Cut with a lawnmower and look decisive.
But AI doesn’t actually know more than a person. Yes, it has access to more but that’s a very different thing.
AI has no context on your customer. No memory of the difficult conversation last quarter. No relationship with the manager who almost quit. No feel for the room. No understanding of why the decision that looks obvious on paper would be completely wrong for your culture. Those things live in people.
This is why the productivity paradox keeps showing up. Employees say AI makes them more productive. Companies rarely see the gains at the system level. The individual wins never add up.
The reason is because the system wasn’t redesigned. AI was bolted onto the same workflows. And a broken workflow with AI in it is still a broken workflow — just faster and more confident about being wrong.
That’s the part leaders need to sit with. Productivity at the individual level doesn’t automatically become productivity at the company level. A person can save two hours and still have no place to put those two hours towards something more valuable. A manager can get a faster draft and still make the same poor decision. A team can move more quickly and still move in the wrong direction.
Multiplication only happens when the system changes — not just the speed of tasks inside it.
So how do you actually turn AI into multiplication?
First, be honest about what AI decisions actually are. Every AI decision is a decision about people. Which roles change? Which get harder? Which get simpler? Which disappear? Which get invented? Leaders who pretend AI is a purely technical decision are avoiding the real conversation. The wise decision isn’t always the fast one. It’s the one that keeps human capability at the center.
Second, make sure technology augments human potential rather than replaces it outright. This is a design choice. It shows up in whether you invest in coaching for managers or just in another dashboard. It shows up in whether AI drafts the review or writes it. It shows up in whether the customer gets a human when they need one or gets stuck in an automated loop. Augmentation is a series of small choices that either add up to more human capability — or slowly strip it out.
Third, treat AI as a member of the team. Don’t treat AI as an oracle. Don’t think of it as a replacement. Treat it as a colleague you can push back on. AI works best when humans give it context, challenge its output, and decide what happens next. The value isn’t in letting AI answer faster. The value is in creating a better conversation between human judgment and machine speed.
Fourth, institute a human-in-the-loop policy. Anything that touches a customer, an employee decision, or a critical business call should go through a human subject-matter expert before it goes live. This isn’t because AI is dangerous. It’s because trust is expensive to rebuild. One AI-generated email in the wrong tone can undo months of relationship building. One AI-drafted feedback message that misses the human context can break a manager’s credibility with their team. A five-minute human review is cheap. Rebuilding trust is not.
Fifth, protect the human superpowers. Empathy. Communication. Collaboration. Judgment. These aren’t soft skills anymore. They’re the actual differentiators in an AI-augmented workplace. Because when AI can do almost anything, the question becomes what should we do? And that’s a human question.
The companies I see pulling ahead right now aren’t saying that they’re replacing 200 roles. They’re saying that they’re giving their teams thousands of extra hours per week and reinvesting them in growth. Same AI. Very different story. Very different outcome. Because in the end, AI isn’t the outcome. It’s just an input. What decides the outcome is how you lead your people.
Multiplication or subtraction is a choice. And it is yours to make.
Written by Rasmus Holst.
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