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TRAI Chairperson Anil Kumar Lahoti has emphasised the need for resilient AI infrastructure and robust self-regulation to ensure secure, accountable and inclusive deployment of artificial intelligence in India. Speaking at a Nasscom pre-summit event ahead of the India-AI Impact Summit 2026, Lahoti said the way AI infrastructure is designed and governed will determine whether its benefits remain concentrated or are widely distributed across regions and sectors. He highlighted rising energy demands linked to AI adoption, the importance of efficiency and resiliency, and the government's efforts under the India AI Mission to expand affordable access to computing capacity. Lahoti described AI infrastructure as a strategic national asset critical to India's economic competitiveness and digital transformation.
Telecom Regulatory Authority of India (TRAI) Chairperson Anil Kumar Lahoti on Monday stressed the importance of building resilient AI infrastructure supported by strong self-regulation to proactively mitigate risks and ensure long-term sustainability of artificial intelligence systems. Addressing a Nasscom pre-summit event ahead of the India-AI Impact Summit 2026, Lahoti said AI systems must remain secure, reliable, accountable and adaptable to disruptions while continuing to serve public and economic objectives. Advertisement
He noted that the design and rollout of AI infrastructure will play a decisive role in determining whether the technology's benefits are limited to a few players or distributed more equitably across regions, sectors and institutions. From a regulatory perspective, Lahoti highlighted the importance of robust self-regulation, stating that voluntary commitments and self-certification can help the industry proactively address AI-related risks.
Lahoti also drew attention to the growing energy demands associated with AI deployment. Citing projections, he said India's total energy demand is expected to grow by about 3 per cent annually until 2035, underlining the need to optimise AI energy consumption while supporting digital expansion. Globally, AI-related energy consumption is projected to more than double by 2030, reaching around 945 terawatt hours, making efficiency a critical priority.
Under the India AI Mission, Lahoti said the government is facilitating affordable access to more than 38,000 GPUs, along with a secure cluster of 3,000 GPUs reserved for strategic use. He added that India is well-positioned to capture 10 to 15 per cent of the estimated USD 17-26 trillion value that AI is expected to add to the global economy over the next decade.
Describing AI infrastructure as a strategic national asset, Lahoti said access to foundational resources has become essential for innovation, economic competitiveness and state capacity. He also highlighted the convergence of AI and telecom, noting that telecom networks act as the primary carriers for AI, while AI provides the intelligence layer for telecom operations, placing the sector at the core of India's AI ecosystem.
He cited large-scale real-world deployment, where AI systems have already been used to tag billions of spam calls and messages and block large volumes of fraudulent digital content. Looking ahead, Lahoti said accessibility, resiliency and efficiency must form the core principles of India's AI infrastructure strategy to ensure inclusive and sustainable growth.
Source - PTI
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