India’s GCC model is shifting from cost to capability as rising costs and talent shortages force a pivot, with AI poised to reshape operations.
For two decades, India’s dominance in global capability centres (GCCs) was built on a simple formula: skilled talent at scale, at low cost. This model allowed companies to offshore customer support, IT, and other back-office functions to India, taking advantage of a large, educated workforce willing to work for lower wages. However, as India’s economy grew, so did wages, and the GCC model’s cost advantage began to erode.
Rising costs and talent shortages put pressure on GCCs
India is now the world’s largest GCC hub, with more than 2,100 centres, employing over 3.7 million people. However, rising costs, particularly in cities like Bengaluru and Chennai, are making it increasingly difficult for companies to maintain their operations in India. The country’s talent shortage, particularly in areas like AI and data science, is another major challenge. This shortage is forcing companies to look for alternative locations, or to reassess their business models.
AI is transforming GCCs
To stay competitive, India’s GCCs are now turning to artificial intelligence (AI) to transform their operations. AI is being used to automate routine tasks, improve efficiency, and enable more complex functions like analytics and decision-making. For example, companies like Infosys and Wipro are using AI to develop virtual assistants, chatbots, and other tools that can handle customer inquiries and provide support.
What this means is that India’s GCCs are no longer just about providing cheap labour; they’re now about delivering complex capabilities that require high levels of expertise and automation. This shift is forcing companies to rethink their business models and invest in new technologies and skills.
As the GCC model continues to evolve, one thing is clear: India’s dominance in the global market is no longer guaranteed. Companies will need to adapt to changing labour laws, rising costs, and the growing need for AI and data science skills. Those that fail to do so risk losing their competitive edge and being left behind in the rapidly changing world of global business.
