GCC market
Karnataka's GCC Policy 2024–2029: what it means for AI adoption
The policy targets 1,000 GCCs by 2029 and uniquely backs nano GCCs of 5–50 people. What that changes for who buys AI adoption, and what a 20-person centre can build in-house.
Karnataka's GCC Policy 2024–2029, released 19 November 2024, targets 500 new capability centres (1,000 total by 2029) with 350,000 jobs and US$50 billion in output. Its distinguishing provision is nano-GCC support: centres of 5–50 employees qualify with no minimum employment or investment threshold.
- Karnataka GCC Policy 2024–2029: 500 new centres, 1,000 total by 2029, 350,000 jobs, US$50B output.
- Nano GCCs of 5–50 employees qualify for incentives with no minimum employment or investment threshold.
- Zinnov–nasscom 2026: India has 2,117 GCCs and 583 mid-market GCCs; Bengaluru holds 880+ units.
- Bengaluru holds roughly 36% of India's GCC talent, per Zinnov–nasscom 2026.
- The nano-GCC provision changes the buyer: new entities with no incumbent vendor.
Karnataka's GCC Policy 2024–2029, released 19 November 2024, targets 500 new capability centres (1,000 total by 2029) with 350,000 jobs and US$50 billion in economic output. Its distinguishing provision is nano-GCC support: centres of 5–50 employees qualify for incentives with no minimum employment or investment threshold.
Key takeaways
- Karnataka GCC Policy 2024–2029: 500 new centres, 1,000 total by 2029, 350,000 jobs, US$50B output.
- Nano GCCs of 5–50 employees qualify with no minimum employment or investment threshold.
- Zinnov–nasscom 2026: India has 2,117 GCCs, 583 mid-market; Bengaluru holds 880+ units, ~36% of GCC talent.
- The nano-GCC provision changes who the buyer is.
What does the Karnataka GCC policy actually offer?
Karnataka's GCC Policy 2024–2029, released on 19 November 2024, set an explicit target: 500 new capability centres, taking the state to roughly 1,000 by 2029, with 350,000 new jobs and around US$50 billion in economic output (Deccan Herald, 2024). It was the first dedicated GCC policy from an Indian state, which matters less for the headline numbers than for what it signalled: states now compete for capability centres the way they once competed for factories.
The substance for a buyer sits in the incentive structure and, above all, in one provision that no other state matched at the time. Karnataka extended incentives to nano GCCs (centres of 5–50 employees) with no minimum employment or investment threshold (India Briefing, 2024). That single clause changes the economics of setting up a captive centre in the state.
Why the nano-GCC provision changes the buyer
Most GCC policy is written for large entities, and most AI-adoption vendors sell to large entities. The nano-GCC provision creates a different buyer entirely: a brand-new centre of 5 to 50 people, with no incumbent master-vendor relationship, no legacy tooling, and no internal AI function. That buyer is not choosing between vendors. They are choosing whether to have a capability at all.
This is a materially better starting position for AI adoption than a large centre carries, because there is nothing to unwind. No unused licence estate, no failed pilot, no political ownership of the existing process. A nano GCC that decides on day one to build one workflow well, with a baseline and an evaluation harness, skips the entire history of adoption that the 95% failure rate is made of: the habit of counting logins instead of measuring the workflow. The definition and the strategic implication are in what a nano GCC is.
What "Beyond Bengaluru" means for where you set up
The policy pairs the growth target with a Beyond Bengaluru emphasis: pushing new centres into tier-two Karnataka locations rather than concentrating everything in the capital. The concentration it is pushing against is real. The Zinnov–nasscom India GCC Landscape 2026 reports India holding 2,117 GCCs and 2.36 million professionals, with Bengaluru alone accounting for more than 880 units and roughly 36% of the country's GCC talent (Zinnov–nasscom, 2026).
For AI adoption, Beyond Bengaluru cuts two ways. A tier-two nano GCC has a thinner local vendor ecosystem to draw on, which raises the value of a partner who can deliver remotely and leave working code behind. It also means the centre is building capability in a place with less AI talent to poach, so the internal-capability question (build the skill or buy it) is sharper than it would be in Bengaluru.
What a 20-person GCC can and cannot build in-house
A 20-person centre has real constraints, and pretending otherwise is how small centres end up in the 95%. Honestly:
| Can build in-house | Should not attempt alone |
|---|---|
| Ownership of one well-chosen workflow | A multi-workflow AI programme in year one |
| Day-to-day operation of a shipped agent | The first evaluation harness, from scratch, unaided |
| The internal champion and the metric | A governance framework with no template |
| Domain knowledge no vendor has | Retrieval architecture on messy documents, first time |
The realistic path for a nano GCC is to pick one workflow, bring in help to build it and the harness jointly, own the resulting code, and grow the capability from that one shipped thing. That is precisely how we frame the work for nano GCCs, and it is why the sequencing matters more than the ambition.
The AI capability question the policy does not answer
The policy grows the number of centres and lowers the barrier to small ones. It does not build anyone's AI capability, and it does not tell a new centre which workflow to automate or how to govern it. Those questions are left, correctly, to the centre.
And they are the questions that decide the outcome. India's own governance gap makes the point: IBM's Institute for Business Value found 83% of Indian executives call effective governance essential to AI, while only 4% of Indian organisations have embedded frameworks to manage AI-related risks (IBM IBV, 27 November 2025). The policy can create a thousand centres. Whether those centres adopt AI well depends on choices the policy does not make for them, which is where an adoption diagnostic starts.
What this means for a GCC transformation owner
If you are standing up or scaling a centre in Karnataka, the policy has already done you a favour: it has lowered the cost of existing and pointed capital at your category. It has not made the hard decisions. The advantage a new or small centre holds is the absence of baggage, and that advantage decays the moment you start buying licences ahead of workflows and running pilots without baselines: the same way every large centre burned its early years.
Use the clean start. Pick one workflow, measure it, build it well, and let the capability compound from there. The policy gives you the runway. What you do on it is still the whole question.
Sources
- Deccan Herald, Karnataka plans incentives to double global centres to 1,000 by 2029, 2024. https://www.deccanherald.com/india/karnataka/karnataka-plans-incentives-to-double-global-centres-to-1000-by-2029-3209526
- India Briefing, Karnataka Global Capability Center Policy 2024–2029: key features, 2024. https://www.india-briefing.com/news/karnataka-global-capability-center-policy-2024-2029-key-features-35441.html/
- Zinnov–nasscom, India GCC Landscape 2026 Report, 2026. https://zinnov.com/centers-of-excellence/zinnov-nasscom-india-gcc-landscape-2026-report/
- IBM Institute for Business Value, AI Infrastructure That Endures (India), 27 November 2025. https://in.newsroom.ibm.com/2025-11-27-83-of-Indian-executives-say-effective-governance-is-key-to-successful-AI-infrastructure
Related reading: what a nano GCC is · for nano GCCs: where to start · the AI adoption diagnostic
Read next
- Nano GCCA nano GCC is a global capability centre with 5 to 50 employees, a category Karnataka's GCC Policy 2024–2029 names explicitly and supports with incentives carrying no minimum employment or investment threshold.
- Global capability centre (GCC)A global capability centre is an offshore entity a multinational owns and operates to run strategic functions such as engineering, analytics, finance and operations in-house, rather than outsourcing them to a third party.
- Measure the workflow, not the loginsLicence logins, completions and prompt counts measure that a tool was opened, not that the work changed. The 95% failure rate is a measurement failure as much as an execution one: organisations counted adoption and never instrumented absorption.
More from the blog
- India's AI Governance Guidelines: what a GCC actually has to doIndia has no standalone AI statute. It governs AI through existing law, coordinated by a new AI Governance Group. The practical obligations for a GCC, and a framework you can stand up in 90 days.
- What the free AI training tier covers, and exactly where it stopsFree AI training is now genuinely good and reaches agent orchestration and MCP. What it structurally cannot do is change your workflow, on your data, in your systems, under your governance.
- How to choose the first workflow to automate (and three you should not)The first workflow decides whether the whole programme survives. A four-axis scoring grid, the case for back-office over customer-facing, and the three types to leave alone.
Frequently asked questions
A nano GCC is a global capability centre with 5–50 employees. Karnataka's GCC Policy 2024–2029 names the category explicitly and extends incentives to it with no minimum employment or investment threshold: the only Indian state policy to do so at the time of writing. The significance is that it lowers the floor for setting up a captive centre dramatically.
The GCC Policy 2024–2029 sets out a package aimed at 500 new centres by 2029, including support that extends to nano GCCs of 5–50 employees with no minimum employment or investment threshold, and a 'Beyond Bengaluru' emphasis on tier-two locations. Specific incentive terms are set in the policy and its implementing notifications; verify current terms before relying on any figure.
The Zinnov–nasscom India GCC Landscape 2026 reports Bengaluru holding more than 880 GCC units, roughly 36% of India's GCC talent, out of 2,117 GCCs nationally. Bengaluru remains the single densest GCC cluster in the country, which is part of why Karnataka's policy also pushes centres toward tier-two Karnataka locations under its Beyond Bengaluru banner.
The policy creates the conditions for more centres and lowers the barrier to small ones, but it does not answer the AI-capability question for any individual centre. A nano GCC that qualifies for incentives still has to decide which workflows to automate and how to govern them. The policy grows the population of buyers; it does not build anyone's AI capability.
Beyond Bengaluru is Karnataka's push to grow GCCs in tier-two locations across the state (Mysuru, Hubballi-Dharwad, Mangaluru and others), rather than concentrating everything in Bengaluru. For AI adoption it matters because it spreads new, small centres into places with thinner local vendor ecosystems, which changes both the opportunity and the delivery model.
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