Bengaluru, November 18 — Infosys AI-first GCC model takes centre stage as the company unveils a groundbreaking framework aimed at accelerating the way global enterprises build and scale capability centres. With this bold new model, Infosys is positioning itself at the forefront of next-generation innovation, offering organisations a blueprint for creating AI-native Global Capability Centres (GCCs) faster and more efficiently than ever before.
Infosys, one of India’s leading IT and consulting majors, announced the framework at a technology summit this week. Company executives described the model as a “future-ready blueprint” for organisations seeking AI-driven transformation, particularly amid the rapid adoption of generative AI and large-scale digital modernisation across industries.
The Infosys AI-first GCC model is expected to lower setup time, enhance operational agility and accelerate innovation cycles for Fortune 500 companies, unicorns and emerging digital-first enterprises.
A Shift Toward AI-Centric Enterprise Architecture
The new GCC blueprint marks a clear shift from traditional centralised support functions to capability centres built around AI-driven automation, predictive operations, and digital engineering.
Infosys leaders highlighted that GCCs of the future will be:
- AI-native from Day 1
- designed for accelerated engineering cycles,
- interlinked with global innovation teams,
- aligned with emerging digital markets,
- built on strong cybersecurity and data governance frameworks.
The company believes that as businesses adopt generative AI and industry-specific AI tools, organisations will require smaller, smarter and faster capability centres that can scale AI initiatives globally.
Demand for GCCs Surges as Global Enterprises Pivot to India
India remains the fastest-growing GCC hub in the world, with more than 1,600 multinational capability centres currently operational in the country.
Reports indicate that India will house nearly 2,400 GCCs by 2030, employing more than 5 million professionals.
Infosys said the new AI-first model taps into this rapid expansion by offering:
- turnkey GCC setup support,
- advanced data and AI infrastructure,
- industry-specific automation frameworks,
- and a talent engine focused on AI, cybersecurity, cloud engineering, product development, and digital transformation strategy.
For companies exploring large-scale AI rollouts, this model is expected to drastically reduce deployment friction and cost.
Faster Setup, Lower Costs and Higher Innovation Velocity
According to Infosys, the new GCC model reduces the average setup and stabilisation time for capability centres by 30–40%.
Traditional GCCs require 12–18 months to stabilise; AI-first models, however, can become fully operational in 6–10 months, the company claims.
Key accelerators include:
- pre-built AI workflows,
- automated IT infrastructure provisioning,
- instant access to cloud-native tools,
- digital twin environments for testing,
- and standardised governance models.
“The goal is to help global enterprises move from AI experimentation to AI-at-scale — fast and securely,” said an Infosys spokesperson.
Industries Expected to Benefit the Most
Analysts say the AI-first GCC model can unlock high-value transformation in several industries:
1. Banking & Financial Services (BFSI)
For fraud detection, credit risk modelling, automated lending, and real-time analytics.
2. Retail & eCommerce
AI-driven demand forecasting, personalisation engines, and supply-chain automation.
3. Healthcare & Life Sciences
Clinical insights, patient journey optimisation, and research simulations.
4. Manufacturing & Engineering
Digital twins, predictive maintenance, and smart-factory control systems.
5. Telecom & Media
Network optimisation, content recommendation engines and enterprise automation.
This broad applicability strengthens India’s positioning as a global AI engineering and innovation hub.
India as the AI Innovation Capital
The launch of Infosys’s new model comes at a time when India is aggressively positioning itself as a global AI leader.
Government initiatives such as:
- IndiaAI Mission,
- Digital Public Infrastructure (DPI),
- Semiconductor Manufacturing Schemes,
- and Startup India
have significantly expanded India’s AI and deep-tech ecosystem in the last five years.
With companies worldwide pivoting to AI-enabled operations, India’s deep talent pool and engineering experience are major competitive advantages.
The GCC Evolution: From Cost Centers to Innovation Engines
GCCs in India have evolved through three major phases:
Phase 1: Cost-saving back-office centers
Phase 2: Global delivery and process excellence hubs
Phase 3: R&D, engineering and innovation centers
The Infosys AI-first GCC model represents the next evolution — capability centres as enterprise AI accelerators.
Companies are increasingly shifting mission-critical responsibilities such as:
- AI product development,
- cybersecurity command operations,
- digital engineering,
- cloud modernization,
- and applied research
to GCCs in India.
Challenges Ahead
Despite the promise, the model faces several challenges:
- shortage of high-end AI talent,
- need for tighter global regulatory compliance,
- cybersecurity vulnerabilities,
- integration with legacy systems,
- and governance complexity across multi-country operations.
Infosys says its AI-first stack addresses several of these issues through standardisation, automation and compliance-ready frameworks.
Conclusion
The unveiling of the Infosys AI-first GCC model marks a defining moment for India’s technology landscape, strengthening the country’s position as the global epicentre for AI-driven capability centres.
As multinational corporations accelerate their digital transformation journeys, models like these will shape how innovation hubs are built, scaled and governed across the world.
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