HCL's Roshni Nadar Malhotra Urges India to Shift from Tech Services to IP Creation in AI Era
Malhotra: India Must Transition from Services to IP for AI Leadership

HCL Chairperson Advocates for Structural Shift in India's Tech Strategy Amid AI Revolution

Artificial intelligence is compelling a fundamental reevaluation of India's technology growth framework, with HCL Technologies chairperson Roshni Nadar Malhotra issuing a clarion call for a decisive pivot from services-driven expansion to intellectual property creation. Speaking at the AI Impact Summit 2026, Malhotra emphasized that this transition is critical for maintaining global competitiveness in an increasingly AI-dominated landscape.

From Services Scale to Infinite IP Scaling

Malhotra articulated that the next phase of economic value generation will hinge on ownership of platforms, products, and models, rather than the scale-driven delivery services that propelled India's IT sector to prominence over past decades. "India must evolve from being a tech services-led nation to an IP-led nation; services scale with effort. IP scales infinitely," she asserted, highlighting the transformative potential of this strategic shift.

She cautioned that enterprises merely deploying technology will struggle to capture long-term value as artificial intelligence restructures global business economics. "In the AI economy, value accrues to those who build and own platforms, models and products, not just those who deploy them. That shift is not only economic, it is transformative," Malhotra added, underscoring the profound implications for corporate and national strategies.

AI's Dual Impact and Strategic Imperatives

Malhotra outlined AI's dual-edged impact: it reduces operational costs through automation while simultaneously unlocking new markets and opportunities. This dynamic makes strategic repositioning essential for both companies and nations. To secure leadership in the AI economy, she proposed three pivotal shifts for India:

  • Transitioning from scale to intellectual property creation
  • Moving from adoption to innovation
  • Establishing a national AI infrastructure to democratize access to computing power

"Compute can unlock innovation across startups, universities, enterprises and institutions. When compute is accessible, innovation decentralizes. When innovation decentralizes, IP multiplies. That is how an IP nation is built -- not by one champion, but by an ecosystem," she explained, advocating for a collaborative approach to foster widespread innovation.

AI as a Leadership Moment Beyond Technology

Describing artificial intelligence as a broader leadership opportunity rather than merely a technological transition, Malhotra noted that every industrial revolution reshapes human roles. AI raises fundamental questions about which responsibilities should remain uniquely human as machines increasingly handle analytical and predictive tasks.

She revealed that HCL Tech is actively adapting to this transformation by moving away from a traditional people-centric delivery framework. The company is embracing an integrated system combining software products, intelligent agents, and human expertise. "We are evolving from a people-centric delivery model to an integrated system of software products, intelligent agents and human expertise, delivering outcomes at scale. This reflects a broader national ambition to build intellectual property that creates enduring, compounding value," the chairperson stated.

Governance Risks and Responsible AI Development

Highlighting potential governance challenges, Malhotra warned that unchecked technological acceleration could erode public trust. She stressed that AI must develop alongside responsible oversight to ensure ethical and sustainable progress.

Drawing a vivid analogy, she compared AI's disruptive impact to a power hitter in T20 cricket, noting that outcomes depend on how strategically leaders respond to change. "AI will define this decade, but what the world would remember for centuries is the leadership who shaped it responsibly, wisely and with clarity," she concluded, emphasizing the lasting legacy of thoughtful AI stewardship.