The Ebbing Outsourcing Dividend: How India's GCCs Are Redefining Taiwan's Landscape of Collaboration and Competition

The fall in Indian IT services stocks shows that investors are losing patience with the old outsourcing model. The valuations of TCS, Infosys, and Wipro rested on vast pools of engineers, offshore delivery, and steady dollar revenue. Now generative AI is shrinking billable hours, multinational corporations (MNCs) are building their own Global Capability Centers (GCCs) at a faster pace, and supply chain restructuring is pushing capital toward hardware, data centers, and manufacturing. India's IT services sector has to answer a new question: once the outsourcing dividend has peaked, where will the next engine of growth come from?

This should not be read as mere short-term market volatility. India is using GCCs to reposition itself in the global corporate division of labor. Once seen as back-office cost centers, GCCs are emerging as hubs for R&D, data analytics, AI, cybersecurity, and operational decisions.

In June 2026, Indian IT shares came under heavy selling pressure. The Nifty IT index fell as much as 5.8% intraday on June 3, marking its worst day in four months; TCS fell 9%, Infosys 4.3%, and Wipro 3.7%. The index has lost 22% so far in 2026, after a 26% drop the previous year. The market fears that AI could cut the billable hours of traditional IT services and undermine the revenue base of India's IT services companies.

India's Outsourcing Stock Dip: Re-evaluating the Legacy Model

The traditional advantages of India's IT outsourcing sector lay in a vast pool of English-speaking engineers, lower labor costs, offshore delivery, and Western companies' long-running demand for digitalization. TCS, Infosys, Wipro, and HCLTech were long seen as the face of India's services exports, with dependable dollar revenue and premium valuations.

Generative AI has upended that investment case. Headcount used to be treated as a proxy for a firm's ability to win large projects. Now the market is more concerned with whether AI will lead clients to outsource less basic coding, testing, maintenance, and support.

The pressure already shows in the strategies of the largest firms. TCS recently announced a partnership with Anthropic under which it will train 50,000 employees to use Claude and develop enterprise AI solutions with the company. Reuters reported that TCS Chairman N. Chandrasekaran said the firm is moving toward having as many AI agents as employees. TCS's net headcount fell by more than 23,000 in the fiscal year ended March 2026.

India's technology industry as a whole is still growing. Nasscom projects that the sector's revenue will rise 6.1% in FY2026 to $315 billion, crossing the $300 billion mark for the first time. What is changing is the source of growth: low-end outsourcing work is under pressure, while demand is rising for advanced AI integration, cybersecurity, product engineering and R&D, and platform deployment.

GCC: India's Most Strategically Significant Pivot

India's geoeconomic aim is not to race Taiwan in chip manufacturing in the near term but to use GCCs to secure a place inside multinationals' own operations.

A Global Capability Center is a unit that a multinational sets up in India. Such centers were long used as low-cost bases for finance, HR, and IT operations. Indian GCCs are now moving up: they handle product development, business intelligence, AI deployment, cybersecurity, and support for executive decision-making.

India's GCCs are projected to earn $98.4 billion in FY2026 across roughly 2,117 centers with a talent base of 2.36 million, and companies headquartered in the Americas account for about 63% of the centers. The figures show that multinationals are moving core capabilities to India, well beyond routine back-office work.

Taiwan’s long-standing strengths are manufacturing, hardware engineering, supply chain coordination, and reliable delivery. India, by contrast, is gaining ground in the data, software, and operations that multinationals run in-house. As multinationals place R&D, threat intelligence, and analytics teams in India, the country is moving from outsourcing contractor to an extension of the companies themselves.

Competition over GCCs is not about any single product or technology. It is about who becomes the long-term home for a multinational's talent, data, processes, and decision-making. This is the point Taiwan most easily underestimates when it looks at India.

From Cost Centers to Capability Hubs: Western Views

Western think tanks and consultancies have clearly changed how they talk about India's GCCs, moving from 'low-cost outsourcing' to 'strategic capability reconfiguration.'

The Carnegie Endowment, analyzing India's AI prospects, notes that the country still needs to strengthen its compute infrastructure and advanced research, but that its IT services companies, startups, and the local R&D centers of multinationals give it a solid base for enterprise AI deployment.

CSIS places India within the context of U.S. technology strategy and supply chain diversification. U.S.-India technology cooperation now extends to concrete fields such as semiconductors, AI, quantum computing, biotechnology, and advanced telecommunications. India's role is shifting from a supplier of outsourced services to a source of talent, research, and supply chain capacity within the U.S. technology system.

BCG's view of GCCs is more managerial: it argues that high-performing centers are run as strategic drivers of growth rather than as cost centers. In the next phase, GCCs will be judged not only by headcount but also by what they contribute to corporate innovation and to scaling AI.

Deloitte India offers a more bullish forecast: growth from about 1,800 centers to 5,000 by 2030, creating 20–25 million direct and indirect jobs (about 5 million of them direct). The projection reflects a consultancy's optimism, but also the expectations of multinationals and professional services firms. Company decisions point the same way. U.S. cybersecurity firm N-able opened a GCC in Bengaluru in 2026 and plans to expand its local workforce by at least 50% by the end of the year. CEO John Pagliuca said the move was driven mainly by India's depth of AI and cybersecurity talent rather than by cost.

AI Raises the Value of GCCs but Thins the Headcount Dividend

AI is at once a reason Indian IT outsourcing stocks have fallen and a tool for upgrading India's GCCs.

For large companies, the hard part of adopting AI is rarely the model itself. It is organizing unstructured data, cleaning data pipelines, putting security guardrails in place, handling compliance, and updating legacy software. That takes people who understand both the company's IT and its business rules, and Indian GCCs sit exactly at that intersection.

As these centers shift from a cost-driven to a capability-driven model, large multinationals are starting to treat their Indian hubs as extensions of headquarters rather than as support offices.

AI is also making GCCs more cautious about hiring. Lalit Ahuja, CEO of ANSR, told Reuters that AI and geopolitical uncertainty have slowed hiring at Indian GCCs, with some companies cutting their hiring plans by 30% to 50%, and that some centers once planned at more than 5,000 people may now start at about 2,000.

India’s next phase, then, will not be about headcount alone. Global firms want small, efficient teams with strong skills in data engineering, AI deployment, cybersecurity, and cross-border delivery.

Geoeconomic Implications: Reducing Vulnerability to U.S. Dynamics

India's IT services firms have long depended heavily on U.S. corporate clients. Slower U.S. tech spending, interest rates kept high for longer, and tighter visa rules hit the sector directly. In 2025, after the United States announced a $100,000 fee on new H-1B applications, Indian IT stocks fell; at the time, the U.S. market accounted for about 57% of the industry's revenue.

GCCs give India a structural buffer. Under outsourcing, Indian companies take on client projects; under the GCC model, multinationals place their own organizational capabilities in India. That moves India from the position of supplier toward that of a node inside the firm. Geoeconomically, India no longer earns dollars only through services exports; it is also becoming a place where multinationals plan their talent, data, R&D, AI, and operational resilience.

This is why Taiwan needs to rethink India. Semiconductors and hardware manufacturing remain Taiwan's core strengths, and India will struggle to displace them in the near term. But in multinationals' internal capabilities, practical AI use, data governance, cybersecurity, and product support, India may win a place in global corporate decision-making faster.

Taiwan's Core Challenge: Beyond the Safe Zone of a Reliable Supplier

Taiwanese views of India often fall into one of two misjudgments. The first is dismissive: India is only software and outsourcing, with weak manufacturing. The second is alarmist: India's push into semiconductors will soon displace Taiwan's foundries.

A more accurate view is that India is unlikely to replace Taiwan’s foundry ecosystem anytime soon, but that it will become a competitor and partner Taiwan must understand in global corporate data and capabilities, AI adoption, digital services, cybersecurity, and multinational R&D centers.

Taiwan's strengths are physical: advanced wafers, AI servers, ODM manufacturing, and precision engineering. India's are organizational: engineers, software deployment, English fluency, domestic scale, and global service delivery. As global firms allocate capital across data teams, compute, and operations, India's advantages will become more apparent.

Taiwan's real challenge is to keep its influence at the higher levels of the industry. As India moves from back-office outpost to global capability hub, Taiwan has to think beyond its reputation as a dependable, low-profile manufacturer. To keep a voice, it must move beyond its hold on the physical supply chain and take an active part in defining products, system architecture, and industry standards.

Conclusion

The fall in India's IT outsourcing stocks reflects a revaluation of the old outsourcing model. Generative AI is compressing billable hours, and shifts in U.S. demand and visa policy are adding uncertainty for traditional vendors.

But India is not withdrawing from global technology competition. Through GCCs, it is moving up from outsourcing contractor to a node inside multinationals' own organizations. That is the change Taiwan most needs to watch.

Co-opetition between Taiwan and India will not turn mainly on whether India can make advanced chips. The more important contest is over where multinationals choose to put their R&D, advanced computing, data governance, and operational decision-making.

If Taiwan confines itself to hardware and manufacturing, it will remain important but may find itself further from the centers of corporate decision-making. The rise of India's GCCs is a reminder that Taiwan needs to look beyond the supply chain to corporate capabilities and global decision-making power.