New Delhi, September 23 (IANS). India's Global Capability Centers (GCCs) can move beyond the role of mere back-office or support units to become AI-powered 'agentic transformation engines' for global companies by 2030. A new report from Dell Technologies and Zynov says that GCCs will be successful in the coming years, those that focus on delivering real business results by building a strong foundation of data, technology and governance, rather than being limited to just AI experiments.
According to the report, 70 percent of GCC leaders already have a clear roadmap or charter related to AI. India's GCCs account for about 28 percent of global AI talent and more than 1,200 GCC centers have developed AI and machine learning capabilities in the country.
Manish Gupta, Chairman and Managing Director, Dell Technologies India, said that as GCCs take on more strategic responsibilities, strong core capabilities such as data, infrastructure and governance will form the basis of innovation. He says that the GCCs that invest in these areas now will decide how global companies will use AI.
According to the report, there are more than 2,100 GCCs currently operational in India, employing approximately 23.6 lakh people and generating revenues of approximately $98.4 billion in FY 2025-26.
Siddhant Rastogi, Chairman, Zinnov, said that in the last two decades, the GCC was talked about mainly in terms of scale, talent and capabilities, but now the next decade will be about 'ownership and leadership'.
Rastogi said that as AI and agentic systems become embedded in business processes, GCCs will be expected to take responsibility not just for providing services, but for products, platforms, markets and business outcomes.
The report also said that 64 percent of GCC leaders are already performing dual global responsibilities. They are not only running India based centers but also leading any significant business function globally.
Another important sign is that 66 percent of GCC leaders are giving top priority to revenue and business impact in their AI strategy. This makes it clear that the discussion of AI is no longer limited to just reducing costs, but has become linked to business growth and competitive edge.
The report warns that AI-based agentic workflows demand far more computing resources than traditional chat-based AI systems. While a typical chat interaction requires around 1,000 to 2,000 tokens, an agentic workflow can require anywhere from 10,000 to 5 lakh tokens. Therefore, it will be very important to make the right infrastructure investment in time.
The study also estimates that 55 percent of routine tasks performed in the GCC could fall within the scope of AI-based automation, while by 2030 approximately 60 percent of the workforce will need to learn new skills (reskilling), so the imperative is not to increase AI training, but to fundamentally reimagine work.
–IANS
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