India is currently re-evaluating its artificial intelligence strategy as U.S. export controls and sudden access restrictions from major AI providers threaten the nation’s reliance on foreign foundational models. While India has focused on building an application layer atop established global platforms, recent directives—such as Anthropic’s decision to limit model access for foreign nationals—have exposed a vulnerability in the country’s path toward becoming a global AI innovation hub, according to industry reports.
Why is India’s current AI strategy facing scrutiny?
India’s reliance on foreign foundational models has been identified as a significant risk to its long-term technological independence. While the nation boasts a massive pool of information technology talent, the ability for foreign governments to unilaterally restrict access to AI infrastructure creates an unstable environment for domestic startups, according to Saket Dandotia, co-founder and CEO of Onetab.ai. Data from an ADP Research report released in May 2026 indicates that 41% of Indian workers use AI daily, highlighting a high degree of integration that remains tethered to external technology stacks.
Did you know? India’s daily AI adoption rate of 41% significantly outpaces the 19% observed in the U.S. and the 26% reported in China, according to ADP Research.
What are the primary barriers to sovereign AI in India?
The development of a sovereign AI stack in India is hindered by a lack of domestic computing power, limited deep-tech capital, and an absence of cutting-edge chip manufacturing. While the Indian government has launched initiatives like the India Semiconductor Mission and various AI programs, experts argue these efforts may be insufficient. Manish Agarwal, co-founder of Humyn Labs, noted that while India possesses a strong enterprise market, it lacks the massive capital infusions seen in the U.S. and China for sovereign AI development.
Investment trends: Deep-tech vs. Enterprise
Financial data highlights a clear preference among investors for safer, short-term returns. According to Tracxn, Indian startups raised $10.5 billion in 2025, but the vast majority of these funds were directed toward fintech, retail, and enterprise applications rather than deep-tech infrastructure. For instance, HCL Technologies’ $151 million investment in Sarvam AI represented less than 10% of the dividends the company paid to shareholders in the fiscal year ending March 2026, illustrating the conservative nature of current domestic capital flows toward disruptive technologies.
How does India compare to global AI powers?
India’s current trajectory stands in stark contrast to the U.S. and China, which have prioritized sovereign AI stacks from the outset. The following table highlights the current disparity in strategic focus:
| Feature | India | U.S. / China |
|---|---|---|
| Core Strategy | Application layer focus | Sovereign stack development |
| Capital Allocation | Enterprise/Retail focus | Heavy deep-tech/Infrastructure |
Neil Shah, vice president of research at Counterpoint Research, warned that if the U.S. restricts access to advanced hardware—such as Nvidia’s Blackwell chips—India’s current reliance on that architecture would leave its domestic developers with few alternatives.
Frequently Asked Questions
- Why did Anthropic restrict access in India? Anthropic disabled access to certain models for foreign nationals to comply with U.S. government export-control directives.
- What is “sovereign AI”? It refers to a nation’s ability to develop, own, and control its own AI models, computing infrastructure, and data without reliance on foreign technology or directives.
- Is India building its own models? Yes, companies like Sarvam AI are developing domestic models, though they currently face challenges regarding computing power and parameter scale compared to leading global models.
Pro Tip: Monitor the upcoming Reliance Industries annual general meeting on June 19 for potential shifts in the company’s digital and AI infrastructure investments.
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