IBM has warned that India’s ambitions to become a global artificial intelligence powerhouse will depend not only on the scale of its workforce but also on whether the country can rapidly retrain workers, strengthen intellectual property protections, and expand technology development beyond traditional outsourcing hubs.
Speaking to Reuters, IBM India Managing Director Sandip Patel said India’s demographic advantage could become one of the country’s biggest strengths in the global AI race, even as automation threatens the services-led model that helped turn the country into the world’s back office for software and business processing.
“That demographic dividend, that’s sitting here, unleashing that is a phenomenal opportunity,” Patel said. “You will be at a 350 million AI-trained workforce that can be deployed not just here, but can be doing work around the world.”
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The comments come at a pivotal moment for India’s technology sector. Generative AI tools are beginning to automate coding, customer support, documentation, and routine software maintenance work that traditionally formed the entry point for millions of Indian engineers and IT workers.
That has intensified concerns across India’s $250 billion outsourcing industry, where companies are under pressure to shift employees from repetitive service work toward higher-value AI engineering, cybersecurity, data infrastructure, and enterprise automation.
IBM’s assessment comes amid a broader debate taking shape across global technology markets: whether countries that built their economic models around labor-cost arbitrage can reposition themselves for an AI-driven economy where productivity increasingly depends on advanced computing, proprietary models, and specialized talent.
India’s advantage remains scale. More than half of the country’s 1.4 billion people are under the age of 30, giving it one of the world’s youngest labor forces at a time when developed economies are grappling with aging populations and shortages of technical workers.
But Patel suggested demographics alone will not guarantee success.
IBM, which pledged in December to help train 5 million people in India in AI, cybersecurity, and quantum computing by 2030, estimates that only about 30% of the country’s available technology workforce currently possesses AI skills demanded by businesses.
That gap highlights one of the central risks facing India’s technology sector. While the country produces millions of engineering graduates annually, industry executives have repeatedly warned that many graduates lack practical expertise in advanced computing fields such as machine learning infrastructure, AI safety, cloud orchestration, and large-language-model deployment.
The pressure to close that gap has accelerated as multinational firms expand AI investments globally and increasingly seek workers capable of integrating AI systems into enterprise operations rather than merely supporting legacy software platforms.
Patel said coordination between government, universities, and corporations would be essential if India wants to capture a larger share of global AI development and commercialization. IBM is already working with Indian authorities on workforce training initiatives, underpinning a broader push by major technology companies to shape AI education pipelines early.
The company is also expanding deeper into India’s smaller cities in an effort to tap new pools of engineering talent as competition intensifies in established hubs such as Bengaluru, Hyderabad, and Pune, where wage inflation and attrition remain persistent concerns.
Patel said IBM’s workforce in the southern city of Kochi has grown to nearly 4,000 employees within two years, while the company has also expanded operations into Lucknow. The strategy mirrors a wider shift across India’s technology industry as companies seek lower operating costs and broader access to skilled workers outside saturated metropolitan centers.
Beyond workforce development, Patel argued India must strengthen intellectual property protections if it hopes to become a meaningful creator of AI technologies rather than merely a service provider implementing tools developed elsewhere. He said companies need stronger confidence that intellectual property created in India would remain commercially viable and enforceable internationally.
The issue has become increasingly important as countries compete to attract AI research investment and semiconductor-related development. Stronger IP enforcement is often viewed by multinational corporations and investors as essential for encouraging high-value innovation ecosystems.
India has been attempting to position itself as a strategic AI and semiconductor hub amid rising geopolitical tensions between the United States and China. The government has launched incentive programs aimed at chip manufacturing, digital infrastructure, and AI adoption, while also seeking to attract global technology supply chains, diversifying away from China.
Still, India faces structural challenges, including uneven digital infrastructure, gaps in advanced research funding, and limited domestic semiconductor manufacturing capacity.