According to chairman, Telecom Regulatory Authority of India, there is a need for resilient artificial intelligence (AI) infrastructure and robust self-regulation to proactively address risks and ensure AI systems remain secure, accountable, and capable of adapting to disruptions. He mentioned that the way AI infrastructure is designed and deployed will determine whether the benefits of the technology remain concentrated among a few players or are widely distributed across regions and sectors.
Citing industry projections, he noted that India’s overall energy demand is expected to rise by around 3 per cent annually until 2035, stressing the importance of optimising AI-related energy consumption while sustaining digital growth. He also pointed out that global energy consumption linked to AI is projected to more than double by 2030 to nearly 945 TWh.
Further, he highlighted that under the IndiaAI Mission, the government is enabling affordable access to more than 38,000 graphic processing units (GPUs), along with a secure 3,000-GPU cluster meant for strategic use.
He said India is well-positioned to capture 10–15 per cent of the estimated $17–26 trillion AI market, with AI expected to contribute significantly to the global economy over the next decade. He further described AI infrastructure as a strategic national asset.
He also said AI and the telecom sector are increasingly converging to form the backbone of the digital economy, with telecom networks serving as key carriers for AI, while AI provides the intelligence layer for telecom operations. This, he noted, places telecom networks at the centre of India’s AI ecosystem.
