Harsh Goenka proposes N. Chandrasekaran to help shape India's AI strategy

Harsh Goenka urged India to tap Tata Sons Chairman N Chandrasekaran to shape the national AI strategy, drawing parallels to Nandan Nilekani's Aadhaar role.

Published on: Sep 09, 2026
Harsh Goenka proposes N. Chandrasekaran to help shape India's AI strategy

Harsh Goenka, Chairman of RPG Enterprises, proposed on September 7 that Tata Sons Chairman N Chandrasekaran could help guide India's national artificial intelligence strategy and its execution. The suggestion, made in a post on X, comes as India accelerates investment in AI infrastructure and faces decisions about who will steer that expansion at a policy level.

The proposal and its precedents

Goenka pointed to earlier instances where private-sector executives took on public responsibilities. He cited Nandan Nilekani, who led the Unique Identification Authority of India and the Aadhaar programme, and Pawan Goenka, the former Mahindra & Mahindra managing director who now chairs IN-SPACe, India's space sector regulator.

"India brought Nandan Nilekani from private sector to lead Aadhaar/UIDAI and now educational reforms and Pawan Goenka to help drive our space ambitions through IN-SPACe," Goenka wrote. He then asked, "Why not tap N. Chandrasekaran's (Tatas) experience to help shape India's AI strategy and implementation?"

No formal government role for Chandrasekaran has been announced. Goenka's post did not specify a particular position, and there is no indication that the government has extended any such proposal to the Tata Sons chairman.

Chandrasekaran's technology track record

Chandrasekaran joined Tata Consultancy Services in the 1980s and rose to become its chief executive before assuming the chairmanship of Tata Sons. Under his leadership, the group has expanded into semiconductor manufacturing, electronics, data centres, and digital infrastructure.

His public comments on AI align with the scale of the challenge. At the India AI Impact Summit in February, he described artificial intelligence as the next major infrastructure. "AI to my mind is the next big infrastructure. It is the infrastructure of intelligence," he said, comparing the shift to earlier transformations driven by electricity, steam engines, and the internet.

He also emphasised broad access. "Our mission should be to make AI work for every individual and every citizen in this country," Chandrasekaran said.

Mixed reactions to a corporate role in policy

Responses to Goenka's post were divided. Some users supported tapping Chandrasekaran's experience for economic planning beyond AI alone. Others suggested that Nandan Nilekani, given his work on Aadhaar and public technology platforms, would be better suited to lead AI transformation. One comment floated Anand Mahindra as a candidate for strengthening Brand India, while another questioned whether individual-sector specialists should drive technology policy at all.

The debate highlights a persistent tension in India's technology governance: when to bring private-sector leaders into national planning roles and how to define the scope of their influence. For executives watching this space, the discussion signals that India's AI policy framework is still taking shape, and the question of leadership remains open.

Why this matters for executives and strategy

The conversation Goenka started is not about one individual. It surfaces a strategic question that affects anyone building or buying AI systems in India: who will set the standards, procurement rules, and infrastructure priorities that shape the market. When a corporate chair with Chandrasekaran's operational scale is named as a potential architect of national AI strategy, it suggests that implementation experience - not just policy expertise - may carry weight in the rooms where decisions get made. For strategy leaders, tracking who gets the mandate matters as much as tracking the technology itself. The AI for Executives & Strategy implications extend to procurement planning, partnership decisions, and compliance readiness. Professionals involved in governance should also watch how public-private role definitions evolve, a topic covered in the AI Learning Path for Policy Makers.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)