INDUSTRY
Communications, Media and Information Services
Connect. Curate. Comprehend: Unlocking Value Beyond Boundaries
Highlights
- Global Capability Centres (GCCs) are being reimagined from transactional cost centres to AI‑powered innovation hubs, that create intellectual property and deliver enterprise‑wide strategic impact.
- This shift is driven by the adoption of advanced AI, combined with scalable cloud platforms to automate complex operations and enable predictive, data‑led insights.
- Organisations move beyond cost efficiency to sustained value creation, unlocking new revenue opportunities, driving measurable productivity gains, and building long‑term competitive advantage.
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The conceptual shift.
The era of the GCC as a back‑office support function is firmly behind us.
Driven by rapid technological advancement and evolving strategic imperatives, GCCs are being reimagined as AI‑powered reinvention engines. This shift goes far beyond a change in terminology. It represents a fundamental redefinition of purpose. Originally built around cost arbitrage, GCCs are now focused on innovative arbitrage, leveraging dense concentrations of intellectual capital to create, scale, and own digital solutions. As a result, they are evolving from internal service providers into end‑to‑end product owners with full P&L accountability, emerging as indispensable strategic partners that lead business transformation, rather than merely support it.
From cost to value evolution
The evolution of the GCC has unfolded across distinct phases, culminating in today’s AI‑first era.
The early phase was anchored in cost arbitrage. GCCs were established as captive centres, with success primarily measured through labour cost savings, often in the range of 30–50%. Operations were largely transactional, focussed on repetitive, rules‑based activities across functions such as finance and HR. The prevailing mindset was that of an internal service provider, optimised for efficiency, standardisation, and scale. The dominant leadership question was, “How much can we save?” While this model delivered tangible benefits, it positioned the GCC largely as a support function, with limited strategic influence and value creation defined by the parent organisation.
The current phase is centred on value creation and innovation. Today, a majority of new GCCs are designed with AI, machine learning, and cloud capabilities embedded from the outset. The focus has shifted decisively from cost optimisation to value realisation, with some GCCs actively contributing to new revenue streams. These AI‑powered “reinvention engines” take ownership of intellectual property, experiment with emerging technologies, and drive transformation at scale. Success is no longer judged by cost metrics alone, but through broader value indicators such as return on investment, revenue impact, productivity gains, and innovation outcomes. The core question has evolved to, “How much value can we create?”
Technological catalyst
This operational evolution is powered by a confluence of AI, GenAI, and cloud technologies that serve as the definitive catalyst for GCC transformation.
- Cloud platforms: Cloud provides the scalable foundation for compute, storage, and AI services. Leading GCCs leverage a multi-cloud or hybrid-cloud strategy, utilising platforms like Databricks and Snowflake to consolidate enterprise data into a unified and reliable data backbone for AI applications.
- Intelligent automation and predictive analytics: Moving beyond simple Robotic Process Automation (RPA), GCCs use AI and ML for intelligent automation of cognitive tasks. In parallel, predictive analytics models analyse vast enterprise data to forecast trends, anticipate disruptions, and enable proactive, data-driven decision-making across functions like supply chain and finance.
- Generative AI: GenAI is a gamechanger, enabling GCCs to create novel content, code, and solutions at an unprecedented scale. It is being used to accelerate software development, power intelligent customer service agents, and support innovation through rapid ideation and product design.
- Agentic AI: As the next frontier, agentic AI represents a paradigm shift from passive tools to proactive, autonomous partners. These systems can understand complex goals, reason, plan, and execute multi-step actions with minimal supervision, promising to automate entire end-to-end workflows. GCCs are reimagining products and processes to derive best value from this capability.
Impact use cases
The application of AI is delivering tangible, data-driven results across core business functions, demonstrating the expanding strategic role of GCCs.
1. Intelligent supply chain management: GCCs are creating more resilient and predictive supply chains. Several organisations are leveraging GCC‑led AI capabilities for demand forecasting, inventory optimisation, and logistics planning, resulting in significant reductions in inventory levels and stock‑related errors. AI‑driven computer vision solutions are being piloted globally to improve inventory accuracy, while adaptive route optimization models have helped reduce pickup lead times in logistics operations. Together, these initiatives are strengthening resilience, improving visibility, and enabling proactive decision‑making across the supply chain.
2. Accelerated research and development: In the pharmaceutical sector, GCCs have become R&D powerhouses. AI‑enabled digital simulations are used to identify promising molecular candidates, reducing reliance on physical experiments and accelerating early‑stage research. In parallel, advanced analytics and automation are transforming clinical trial operations, dramatically compressing document review and analysis timelines. These capabilities significantly reduce development cycles and costs, highlighting the GCC’s growing contribution to core product innovation.
3. Finance and operations transformation: AI‑driven automation is delivering substantial efficiency and effectiveness gains across finance and operations. Intelligent invoice processing, claims management, and workflow automation have led to sharp reductions in manual effort and processing time. Beyond operational efficiency, some GCCs now own and continuously enhance AI‑based fraud detection models, improving anomaly detection rates and directly protecting enterprise value. This evolution reflects a shift from service execution to product‑oriented, revenue‑protecting capabilities.
Strategic AI Workforce
The transformation of GCCs is driven by clear strategic returns where AI fuels not only financial value creation but also a new, elevated role for human talent.
At the same time, AI‑driven transformation is elevating the human role within GCCs rather than diminishing it, giving rise to the “super worker.” As intelligent systems automate complex and repetitive tasks, professionals shift from execution to orchestration, oversight, and judgment. Super workers collaborate with AI agents, setting strategic objectives, managing exceptions, and applying human context where nuance, ethics, and empathy are essential.
By offloading routine work, GCC talent can focus on uniquely human capabilities- critical thinking, creativity, leadership, and ethical governance. Technology supplies real‑time insights and predictive intelligence, while super workers apply business understanding to make the final judgment calls. This symbiotic relationship between AI and human intellect defines the future GCC: a reinvention engine where scalable technology amplifies human potential and ensures innovation is guided by responsible, strategic leadership.
To anchor this strategic evolution in industry-specific realities, the Communications, Media, and Information (CMI) sector exemplifies how GCCs are fundamentally rewiring their operating models for the AI era. By leveraging sophisticated workforce analytics as a core mechanism for organisational redesign, leading CMI centres are transitioning to a human-AI operating model that systematically automates routine tasks while elevating human potential.
This transformation manifests in highly targeted reskilling pathways across the landscape: in telecommunications, routine L1 and L2 tasks are shifting to machines while L3 engineers evolve to manage converged IT and OT environments, allowing traditional device technicians to upskill into cloud network specialists. Simultaneously, media and information services are transforming legacy operational roles such as broadcast schedulers into strategic, technology-driven positions like digital content strategists and business intelligence developers. Ultimately, this data-driven approach to workforce redesign highlights how GCCs can successfully navigate the complexities of AI adoption, ensuring they retain core domain expertise while actively cultivating the advanced skills necessary to drive next-generation enterprise innovation.
From vision to action
The future state of the GCC is that of an autonomous, intelligent, and indispensable reinvention engine.
Powered by agentic AI and a world-class talent pool, GCCs will automate complex end-to-end workflows and operate as strategic partners to the business. For enterprises, investing in an AI-first GCC is a clear mandate for future growth and competitiveness.
An immediate 3-step action plan to begin this transformation includes:
- Prioritise and strategise: Develop a clear AI vision aligned with parent- organization objectives. Identify two-three high-impact business challenges where AI can deliver measurable value early and build momentum.
- Build the talent engine: Aggressively invest in upskilling and reskilling to create a workforce of "super workers." Focus on building foundational skills in AI proficiency, data literacy, and ethical AI oversight to ensure humans remain firmly in control of outcomes.
- Establish governance and modernise the tech backbone: Implement a robust Responsible AI Governance framework based on global standards like the NIST AI RMF. Simultaneously, invest in a scalable, cloud-native infrastructure and a unified data platform to serve as the foundation for all AI initiatives.