GCC Expansion in India: Why Your Network Matters More Than Your AI Licence

India added a record 31 million square feet of GCC space in 2025. That is a lot of new floors, new teams, and new AI ambitions. It is also a lot of legacy network infrastructure quietly holding everything together.

An IT head at one of my clients said it plainly last month: "Our GCC just signed a five-year lease. We are still running the same network we set up in 2019." He was not embarrassed. He was frustrated. The budget went to headcount, fit-outs, and AI licences. The infrastructure refresh got pushed again.

This is more common than people admit

GCC conversations tend to focus on the visible investments — floor space, talent, tool stack. Infrastructure gets treated as a utility: it should just work. The problem is that what works fine for email and video calls does not always hold up under AI workloads.

Copilot running across 300 seats, Teams calls, AI inference traffic, and real-time document processing hitting the network simultaneously is a different load profile than what most 2018-vintage networks were designed for. The symptoms look like a software problem. People assume Copilot is slow or unreliable. The AI vendor gets blamed. The L&D team gets blamed. Nobody looks at the stack.

What I find when I look at the infrastructure

Fortinet on outdated firmware. Cisco switches with default QoS configurations never tuned for AI traffic. Structured cabling that was fine for its original use case but buckles when video, voice, and AI inference run simultaneously across the same links. Access points positioned for coverage, not capacity — which matters very differently when 50 people are on AI-assisted workflows at the same time.

None of this is unusual. Most of it was installed when the GCC was smaller, or when AI workloads simply were not in scope. The gap between what was designed and what is now running through it has grown quietly, and usually goes unexamined until adoption metrics disappoint.

The sequence problem

AI tool procurement happens fast. Infrastructure review happens slowly, if at all. The sequence should be the other way around — or at minimum, run in parallel. A network readiness assessment for a mid-size GCC takes less than a week. Retrofitting a poorly planned deployment after adoption stalls takes months, plus the cost of the morale hit when the team has already written off the tool as unreliable.

The GCC buildout in India is real and accelerating. Bengaluru, Hyderabad, Pune, Chennai — floor space is going up, headcount is going up, AI ambitions are going up. The infrastructure underneath needs to keep pace, or those AI investments will underperform in ways that are genuinely difficult to diagnose from the surface.

If your GCC is expanding and you have not reviewed your network for AI readiness, that conversation is worth having before the AI rollout — not after the complaints start. We design and deliver network infrastructure for GCC environments across India. Or book a 30-minute call to talk through your specific setup.