The Efficiency argument for GCCs is over. What comes Next?

• If an individual needs to ask “how do I remain valuable when AI can do what I do?” — GCCs need to ask the same question at an organisational level.
• An HQ thinking about efficiency can now deploy AI tools directly onshore — no offshore entity, no setup costs, no lead time.
• The efficiency argument for establishing a GCC is gone.
• The GCCs that answer the new value question clearly will not just survive the AI transition — they will find it has given them exactly the mandate they always deserved.

We have been telling professionals that AI will not take their job — if they evolve. That the answer to AI is not to resist it but to ask honestly: what do I offer that AI cannot replicate? Where is my irreplaceable value?

I have been thinking about whether GCCs need to ask the same question. I think they do. And I think the implications are more significant than most GCC conversations are currently acknowledging.

The sequence has changed

For most of the GCC’s history, the logic was straightforward. Work was identified onshore, offshored to the GCC, and the GCC ran it efficiently. Cost arbitrage was achieved. Everyone understood the value.

AI is quietly disrupting that sequence — and not in the way most people assume.

The threat is not that a cheaper GCC somewhere else will undercut yours. The threat is more fundamental. AI tools are now available function by function — finance, HR, legal, engineering, analytics. Vendors are building them specifically for each domain. And here is the shift that changes everything: an HQ that has not yet set up a GCC — and is thinking about efficiency — can simply deploy these tools onshore. No offshore entity. No setup costs. No lead time. The efficiency argument for establishing a GCC is gone.

But the question does not stop there. Even existing GCCs need to ask the same thing today. If AI can deliver the efficiency your GCC was built for — what is the case for your continued existence? What can a GCC deliver that an AI tool deployed onshore cannot?

So what does this mean for a traditional GCC? One that was set up precisely to deliver that efficiency — to run the operations, optimise the processes, manage the costs? If the onshore team can now achieve the same output with AI tools deployed directly, the question becomes uncomfortable: what is the GCC actually for?

That tension is real. And it deserves to be named rather than glossed over.

The structural advantage nobody is talking about

Here is what I find genuinely interesting about this moment.

The onshore team’s proximity to the client keeps them tactical. Rightly so. They are focused on revenue, relationships, service delivery. Deals are being closed, clients are being served, problems are being solved in real time. That is where the action is — and that is where it should be.

But that proximity comes at a cost. The onshore team is too close to the daily noise to step back. Too focused on this quarter to think clearly about the next chapter. Too busy executing to design what should be executed next.

The GCC sits at a deliberate distance from that action. And that distance — which has sometimes been treated as a limitation — is actually a structural advantage. If used deliberately.

The GCC has the cognitive space, the talent concentration and the cross-functional perspective to do what the onshore operation is genuinely too busy to do. Step back. Think clearly. Identify the problems the business has not yet named. Design solutions before the crisis demands them. Experiment without the pressure of a client watching. Build the capabilities that will matter in the next phase — not just the current one.

The onshore team executes. The GCC can think, design, guide and build.

That is a genuinely valuable proposition. But it requires the GCC to claim it deliberately — not wait for it to be assigned.

The new agenda

AI tools are a current solution to an ongoing category of problem — efficiency and optimisation. That category of problem will not disappear. New versions of it will keep emerging. The question is who is best placed to keep finding solutions as they evolve.

The GCC that positions itself as the organisation’s strategic backend — identifying solutions to functional and core challenges before the onshore team has time to see them — is the GCC that creates value across all four dimensions that matter: better outcomes for customers, better experience for employees, top line growth and bottom line improvement.

That is not a support function. That is a genuine enterprise partner.

The question worth asking now

Just as the individual professional needs to ask “where is my irreplaceable value in an AI-enabled world?” — the GCC leadership team needs to ask the same question about their organisation.

Not “how do we defend our efficiency role?” That argument is getting harder to win.

The better question is: what can we do, from where we sit, that the onshore team cannot do — not because they lack the capability, but because they do not have the distance, the time or the cognitive space to do it?

The GCCs that answer that question clearly — and that reorient their agenda accordingly — will not just survive the AI transition. They will find that it has given them exactly the mandate they always deserved.

The ones that do not will find that AI has not taken their GCC. It has simply made it optional.