Anthropic’s sudden move towards suspend access to its newest AI models following a US government directive. has raised new questions across the global technology industry. In India, the decision has reignited a long-running debate over whether one of the world’s largest AI markets can afford to rely on technologies built and controlled elsewhere.
He advertisement came on Friday night, when Anthropic said it had received the directive from the US government requiring it to suspend access to its Recently released Fable 5 and Mythos 5 models for all foreigners, including their own foreign employees. The move came shortly after the company announced a partnership with Indian IT services giant Tata Consultancy Services broaden the adoption of enterprise AI in India, underscoring how closely the country’s AI ambitions have been tied to technologies developed and governed in the US.
While the broader implications remain unclear, some reports said initial security concerns were first reported to the government by Amazon CEO Andy Jassy. and the information saying The White House is unlikely to extend similar restrictions to other AI companies and privately blames Anthropic’s handling of alleged jailbreak vulnerabilities. Anthropic has disputed the government’s characterization and argued that the action should not have been taken.
Still, the development has sparked a debate among Indian founders, investors and policy experts over whether the country should accelerate efforts to build domestic AI capabilities, deepen investment in open source alternatives or remain dependent on a handful of frontier model vendors from the United States. For some, the episode is a wake-up call about technological dependency. For others, it is a reminder that access to increasingly critical AI systems may be determined by geopolitical decisions beyond India’s control.
India has become one of the most important markets for cutting-edge AI companies. Anthropic and OpenAI have described the South Asian nation as their second largest market after the United States, reflecting its growing importance in the global AI race. The companies already set up your offices in India, expanded local hiring, associationsand business initiatives In recent months, it has banked on India’s broad base of developers, startups and enterprises to accelerate the adoption of its latest technologies.
For many in India’s tech sector, Anthropic’s announcement on Friday was about more than just an artificial intelligence company. It reopened questions about the country’s long-term AI strategy and whether India could afford to continue relying on a small number of overseas AI providers.
“This completely changes things,” said Aakrit Vaish, founder of the Indian AI venture platform. Activatereferring to Anthropic’s decision. “I think this materially changes the way we should all think about sovereign AI in India.”
Vaish told TechCrunch that he woke up Saturday morning “shocked and confused” by the announcement and said it strengthened the case for developing national AI capabilities. He expects startups to increasingly turn to open source models and plans to encourage his portfolio companies to reduce their dependence on a small number of frontier AI vendors.
For some founders, the biggest concern was what restrictions on AI border access might mean for competitiveness. Vijay Rayapati, co-founder and CEO of atomic worktold TechCrunch that the episode highlighted the risks faced by startups whose teams span multiple countries if access to advanced AI systems is increasingly subject to geopolitical restrictions.
Atomicwork has about 25 employees in the US, although much of its product engineering team is based in Bengaluru, India.
“If your AI team is not made up entirely of US citizens, you are at a competitive disadvantage,” Rayapati said, arguing that unequal access to frontier AI models could give some companies a significant advantage over their rivals.
The concern comes as parts of India’s tech sector are already grappling with questions about how AI could reshape the global talent economy. This week, American real estate technology company Opendoor closed its office in India Less than two years after expanding in the country, CEO Kaz Nejatian cited a push to move operational work closer to clients in the U.S. and a shift toward smaller, AI-native teams.
While Opendoor did not specify to what extent the decision was driven by AI-related efficiencies, the move added to a broader debate about how advances in AI could impact the future of global tech work and what that could mean for India’s position as a hub for engineering talent.
Beyond the anthropic
Apart from AI startups and creators, the Anthropic episode also sparked a broader debate among India’s tech leaders about dependence on foreign AI infrastructure.
Sridhar Vembu, founder of Indian SaaS company Zoho, said the move showed that “technology is the ultimate weapon” and urged Indian organizations to increasingly adopt smaller, open-source models.
“What can our government do right now? Ensure that Indian organizations adopt smaller, both Indian and Chinese, open source models,” Vembu wrote in X.
Investor and former Infosys executive Mohandas Pai responded to Vembu on X, arguing that the development highlighted the need for a much more ambitious national AI strategy and calling on the government to substantially increase investments in AI, computing infrastructure and deep technology.
“We are far behind and need a national mission to get up and running quickly,” Pai wrote, urging the government to create a 500 billion rupiah (about $5 billion) annual fund for artificial intelligence and deep technology, along with a 2 trillion rupiah (about $21 billion) credit guarantee program to support the development of cloud infrastructure, hardware and semiconductors.
Pai’s proposal would eclipse India’s existing AI efforts. In 2024, New Delhi approved IndiaAI Mission with an outlay of Rs 103.72 billion (around $1.2 billion) over five years, which aims to expand IT infrastructure, support startups and develop indigenous AI capabilities.
Despite growing interest in AI and New Delhi’s push to build domestic capabilities, India remains a relatively small player in developing frontier models. Only a handful of startups are following fundamental AI models, including sarvamwhich open source models released earlier this year. However, another high-profile AI startup, Krutrim, pivoted towards cloud and artificial intelligence infrastructure services after initially positioning itself around the development of fundamental models.
Much of India’s AI ecosystem has focused on specialized applications and models built on top of existing core models. Recent examples include Avatar AI, which launched a video generation model earlier this week aimed to provide a lower-cost alternative to offerings from rivals such as Google’s Veo, Kling, Luma and Runway.
Not everyone agrees that the main challenge is lack of capital. Responding to Pai’s comments, Lightspeed partner Hemant Mohapatra argued that the biggest limitations to building globally competitive AI companies are talent, access to computing resources and execution, rather than simply the size of investment commitments.
Mohapatra estimated that training a cutting-edge AI model could cost anywhere from hundreds of millions to several billion dollars, depending on the approach, but said successful AI companies have historically expanded their capital requirements over time as adoption grew.
For some policy observers, however, the implications extend far beyond AI startups or model vendors.
Prasanto Roy, a New Delhi-based technology policy expert who advises multinational companies, said the episode would likely reinforce concerns within the Indian government about strategic autonomy, likening it to the lesson many countries learned from Russia’s loss of access to SWIFT and other parts of the global financial system following its invasion of Ukraine.
He told TechCrunch that the move would likely spark a significant nationalist backlash in India and described it as an ill-considered decision by Washington, with consequences that extend far beyond Anthropic.
“Even if this is corrected or reversed, the anthropic episode shows that there is no such thing as a geopolitically neutral foreign LLM,” Roy said. “American AI models are tied to American geopolitics.”
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