As the race to build sovereign AI capabilities intensifies, India is trying to move beyond exporting talent to building its own AI ecosystem. The IndiaAI Mission, which supports domestic computing infrastructure and the indigenous foundation model, reflects that ambition.

But if the reported proposal takes shape, what could it mean for Sarvam’s competitiveness, industry innovation, and the future of India’s AI ecosystem?

Why Sarvam?

Sarvam is one of a handful of companies selected by the Center to develop indigenous, multilingual and domain-specific foundation models under the IndiaAI Mission, as part of its strategy to strengthen the country’s AI capabilities. Under the program, the government is providing selected companies access to graphics processing unit (GPU) computing at concessional rates, covering up to 40 percent of the cost.

Established in 2023, Sarvam is building a full-stack AI business spanning foundation model development, inference infrastructure and enterprise applications, with a focus on Indian languages ​​and domestic use cases. The company says its products are being deployed in sectors like banking, insurance, government services and defence.

Why might the government take equity?

What makes the proposal unusual is not the government’s support for Sarvam, but the form that support might take. Unlike traditional government aid programs, the proposed investment is not a direct cash flow. The Economic Times had reported that the centre’s stake would arise from compute infrastructure and other resources provided under the IndiaAI mission, with equity likely to be acquired through convertible instruments.

Experts say the move reflects a broader change in how governments are starting to view AI.

“The investment in Sarvam AI by the government could signal a paradigm shift in how India supports the creation and commercialization of AI technologies,” said Kumar Rajagopalan, vice president (strategic initiatives) and country head in India at Dexion. “This shows that the government wants to go beyond simply providing AI infrastructure and becoming a stakeholder in the country’s AI ecosystem.”

Rajagopalan said the proposal also reflects the government’s commitment to developing sovereign AI capabilities, which will support additional investment in cloud-based AI infrastructure.

What will this mean for India’s AI ecosystem?

Rajagopalan argued that equity investment should be reserved for projects of strategic national importance, while the government’s primary focus should remain on expanding shared AI infrastructure, such as compute capacity, high-quality datasets, cloud resources, and research.

“Rationalizing equity investments should be prioritized only where there are strategic national implications and only when there are clear, fair and transparent policies governing their use,” he said.

Jaspreet Bindra, co-founder and chief executive of AI & Beyond, said government equity could be justified where rare computations materially put a leading AI company at risk, “but this should be the exception, not the model”.

India’s priority should be building shared AI infrastructure rather than choosing a national champion, he said.

“AI development, especially at the foundation model level, requires significant investment in computing power, talent and research. If government support helps reduce these barriers, it could accelerate innovation,” said Ritwik Batabyal, chief technology and innovation officer at IT services and digital engineering company Mastek.

“At the same time, such initiatives should be supported by clear and transparent guidelines so that the broader startup community also has access to equal opportunities,” Batabyal said. “A healthy AI ecosystem is one where innovation is encouraged across the board rather than concentrated in a few companies.”