Updated: July 16, 2026
For twenty years, the pitch for an India centre was simple: the same work, done well, for less. It built an industry. It also built a ceiling.
A centre defined by cost is a centre defined by what it saves the parent, and the moment a cheaper option appears, the logic that created it can close it. The centres now pulling clear of that trap are doing something different. They are not just running the parent's processes; they are building its products, its models, its intellectual property. And that changes what they need to own.
This is a piece about that change, and about the least glamorous part of it, the infrastructure, which turns out to decide more than the org chart does.
A Global Capability Center is an offshore entity a multinational owns and operates itself, rather than outsourcing, to run business functions, engineering, R&D and increasingly AI. India hosts more of them than anywhere else, and the count recently crossed the two-thousand-one-hundred mark, employing millions.
The model began as labour arbitrage: move a process to a lower-cost location, keep it running, book the saving. What changed is the nature of the work. As GCCs took on engineering, data science and product development, they stopped being places where cost was managed and became places where capability was built. The best of them now own end-to-end products and set global standards for their parent. The centre that only saves money is a line item. The centre that builds the company's AI is a strategic asset. That is the journey from cost center to capability hub, and AI is what is accelerating it.
Because you cannot build what you do not control.
A back-office GCC consumes infrastructure decided elsewhere: a desk, a laptop, access to the parent's systems. A capability hub building AI needs something different, the compute to train and run models, the storage to hold the data they learn from, the networking to move it, and the governance to keep it safe. When that infrastructure lives on someone else's platform, in someone else's region, under someone else's control, the GCC is still a consumer, not a builder. It can operate the AI. It cannot own it.
Owning the infrastructure is what lets a centre move from running the parent's models to building its own. It is the difference between a team that files tickets against a distant cloud and a team that designs, trains and ships. The org chart can promote a GCC on paper. Only the infrastructure lets it actually do the higher-value work.
Three things a cost center never had. The table sets them against the old model.
| Dimension | Cost Center | Capability Hub |
|---|---|---|
| Control | Consumes infrastructure decided elsewhere | Designs and owns the AI stack it builds on |
| Data sovereignty | Parent's data sits in shared, distant environments | Data and models kept in-country, in the centre's governance boundary |
| Talent | Operates and maintains others' systems | Builds, trains and ships its own models |
| Strategic value | A saving that a cheaper location can erase | An asset the parent cannot easily replicate |
Control means the centre decides how AI is built and run, rather than waiting on a distant platform team. Sovereignty means the data and the models sit inside India and inside the centre's own governance, which matters more each year as data-protection rules tighten and parents grow wary of where their intellectual property lives. And talent, the one that quietly decides the rest, means the best engineers get to build rather than babysit. Ambitious people do not stay to operate someone else's stack. They stay to create on their own.
Because AI has raised the stakes on both sides of the ledger.
The centres that treat AI as something to consume, a service called from elsewhere, stay where they are: useful, replaceable, capped. The centres that treat AI as something to build, on infrastructure they own, become genuinely hard to replace. A recent survey found a clear majority of India's GCCs are already investing in advanced AI, which means the question is no longer whether to move up the value chain but who gets there first. The window in which owning AI capability is a differentiator, rather than table stakes, is open now. It will not stay open.
There is a harder truth underneath. A parent can close a cost center with a spreadsheet. It cannot easily close the centre that has become the place where its AI, its models and its product intelligence actually live. Infrastructure ownership is not just how a GCC does better work. It is how a GCC makes itself matter.
Not by buying a GPU cluster and declaring victory. By building capability in stages, tied to real work.
The centres that climb start with a workload that matters to the parent, a model, an engineering problem, a data product, and build the infrastructure to own that one thing end to end: the compute, the data platform, the governance. They prove the centre can build, not just run. Then they extend the same foundation to the next workload, and the next, until the centre is the place the parent's AI is created rather than merely maintained. The strategy is not a moon-shot. It is a deliberate move from consuming infrastructure to owning it, one capability at a time.
Moving from cost center to capability hub is a strategic decision, but it is delivered in hardware, software and governance, the AI infrastructure a centre owns and controls. Designing that stack for an Indian GCC, keeping the data and the models in-country, and building it in stages tied to the workloads that matter, is where an experienced infrastructure partner earns its place.
Proactive Data Systems designs and builds AI infrastructure for India's GCCs, on-premises and sovereign, so the compute, storage, networking and data protection sit inside the centre's own control. We are a Cisco Preferred Cloud and AI Partner, Dell Platinum Partner and NetApp Preferred Partner, with 35 years in enterprise IT, more than 1,500 organisations served, and a 24/7 service desk in India. To turn your centre from a place that runs the parent's processes into one that builds its AI, you can ask Proactive for a GCC AI infrastructure assessment.
Sources
India crossed 2,100+ GCCs employing millions and generating close to US$100 billion (2026 industry reporting);
Majority of GCCs investing in advanced/agentic AI (2025 GCC survey). Figures vary by source and definition; verify against current industry data.
Sources: Global Capability Centres cross 2,100 mark, India's GCC Story in 2025 - Zinnov
Sumit Anand Regional Manager, South, Proactive Data Systems
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