A survey of 2,400 knowledge workers across 30 industries — conducted by Writer and Workplace Intelligence and published in 2026 — found something that should make every leader sit up straight. 92% of C-suite executives are already cultivating what the researchers call an "AI elite" inside their organisations. A class of employees who use AI fluently, save dramatically more time, and are being quietly fast-tracked for advancement. The rest? Falling behind in ways that are only going to widen.
The split is already underway. Most organisations just haven't named it yet — which means they're not managing it. And unmanaged divides don't close. They compound.
The numbers behind the divide
Here's what the data actually shows. AI super-users — the employees who have genuinely integrated AI into their daily workflows — save an average of nine hours per week. AI laggards, who either haven't adopted the tools or use them minimally, save around two hours per week. That's a 4.5x productivity gap, and it's not closing — it's widening as super-users compound their advantage week on week.
The career consequences are just as stark. Super-users are three times more likely to receive a raise or promotion than their laggard colleagues. 77% of executives surveyed said that employees who aren't AI-proficient will not be considered for leadership or advancement. And 60% said they're planning layoffs specifically targeting employees who refuse AI adoption.
The gap between those who've adopted AI fluently and those who haven't isn't closing — it's accelerating.
Coercion is not an adoption strategy
Here's the problem with how most organisations are responding to this divide: they're using threats. Layoff announcements. Promotion freezes. Ultimatums. And the same survey that surfaces these career consequences also finds that 54% of C-suite executives say AI adoption is "tearing their company apart" — and 48% describe their organisation's AI adoption as "a massive disappointment."
Those two things are connected. When you respond to low adoption rates with coercion, you don't get adoption — you get compliance theatre. People use the tools performatively, without genuinely integrating them, and the productivity gains evaporate. Meanwhile the cultural damage from the threat-based approach accumulates. Trust erodes. The people most likely to resist are often also the people with the most institutional knowledge, the ones you can least afford to lose.
The organisations that are actually seeing strong adoption outcomes are doing something different. They're designing for it. Structured onboarding, peer-learning programmes, dedicated time for experimentation, visible leadership modelling of AI use. They're treating adoption as a change management problem — because that's what it is.
The gap between super-users and laggards is widening fast. Top AI users save nine hours per week — 4.5 times more than laggards. — Dan Schawbel, Workplace Intelligence
The divide you haven't named is the one you can't close
Most leaders I speak to are aware, at some level, that their workforce has split. They can feel it — some teams are moving fast and producing more, others seem to be running on empty. But they haven't named the divide explicitly, haven't mapped which teams sit where, and haven't built a deliberate programme to address it.
That gap between awareness and action is expensive. Every week the super-user track compounds and the laggard track stalls, the cost of closing the gap goes up. And the organisational consequence — a two-speed workforce where one group is accelerating and the other is becoming structurally redundant — becomes harder to reverse.
The question worth asking now is not "do we have an AI adoption problem?" Almost every organisation does. The question is: do you know exactly where your divide sits, which leaders are driving adoption and which are blocking it, and what a deliberate intervention looks like?
Because the divide will resolve itself eventually. The question is whether you're the one managing how it resolves — or whether you're watching it happen to you.
