Contents · 4 sections+
Listen carefully the next time a CTO takes the stage at an all-hands. You will not hear "layoffs." You will not hear "redundancies." You will hear something considerably more aerodynamic.
"Optimisation through intelligent tooling."
"Workforce evolution."
"Capability concentration."
Extraordinary, really. The same outcome — people clearing their desks on a Tuesday afternoon — dressed up in the vocabulary of a McKinsey transformation deck.
I.The Euphemism Treadmill Speeds Up
This is not new behaviour. Corporations have been laundering uncomfortable decisions through language for decades. "Right-sizing." "Organisational realignment." "Strategic simplification." Each generation of executives inherits the last generation's euphemisms, decides they're too transparent, and invents fresher ones.
What's different now is the villain. Previously, the villain was "market conditions." A recession. A sector downturn. An interest rate cycle nobody saw coming. The human beings making the decisions could at least gesture vaguely at the economy and suggest the whole thing was out of their hands.
Now the villain is a product roadmap decision. The AI tools your company chose to build or buy. The automation initiative that the board approved in Q3 and your CTO championed in the company newsletter. This time, it's not the market. It's the choice.
Hence the need for more sophisticated camouflage.
II.What "Capability Concentration" Actually Means
Let's translate. "Capability concentration" means: we have decided that ten people doing specialised work can be replaced by two people using AI tools and a third-party platform contract. We are concentrating the capability into fewer seats. Those seats will cost less. The seats we are removing are yours.
"Workforce evolution" means: the workforce is evolving away from you specifically.
"Optimisation through intelligent tooling" means: the tool does not require a pension contribution.
None of this is intrinsically dishonest. Automation displacing labour is as old as the loom. The displacement is real; the business logic is often sound; pretending otherwise helps no one. What is dishonest is the pretence that this is happening "to" the company rather than being actively decided "by" it.
III.The Leadership Question Nobody Is Asking
From where I sit — placing technology and digital leadership executives across APAC and EMEA — I am watching something interesting happen in parallel. The same organisations announcing "workforce evolution" are simultaneously struggling to find senior leaders who can actually govern this transition.
Because "optimisation through intelligent tooling" is not a strategy. It is a budget outcome. Strategy requires someone in the room who understands what you are actually replacing, what institutional knowledge leaves with the headcount, and what technical debt you are accumulating under the surface while your slides show cost curves going down and efficiency metrics going up.
The CTO who can narrate the capability reduction in crisp corporate prose is often not the same CTO who can tell you what happens eighteen months from now when you need to scale a function you just hollowed out.
That gap is a leadership gap. Not a technology gap.
IV.Call It What It Is
I have no particular objection to AI-driven restructuring. Boards exist to allocate capital efficiently. If AI tools genuinely reduce the headcount required to deliver a function, that is a legitimate business decision and the executives making it should own it directly.
What corrodes trust — both inside organisations and in the broader market for executive talent — is the studied vagueness. People are not fooled by "capability concentration." They know exactly what it means. They simply note that their leadership lacked the directness to say it plainly, and they carry that information into every future interaction with that leadership.
The executives I place — the ones who last, the ones who build genuine followership — tend to have an aversion to ornate language around difficult decisions. They have learned, usually through experience, that clarity is cheaper in the long run than comfort.
If you are reducing headcount because AI enables you to, say so. You might be surprised how much respect that earns you — from the people leaving, and from the people staying.