Anthropic sudden action The US government is blocking access to the latest AI models raised new questions in the global technology industry. In India, the decision reignited a long-running debate over whether one of the world’s largest AI markets can rely on technologies built and managed elsewhere.
The announcement Thursday came when Anthropic said it had received a directive from the U.S. government requiring it to suspend its access. It recently launched Fable 5 and Mythos 5 models for all foreign nationals, including their own foreign nationals. The move came shortly after the company announced Collaboration with Indian IT services giant Tata Consultancy Services to expand enterprise AI adoption in India, highlighting how closely the country’s AI ambitions are tied to technologies developed and managed in the US
While the wider implications remain unclear, some reports have indicated initial safety concerns first reported to the government by Amazon CEO Andy Jassy. And Information he said The White House is unlikely to impose similar restrictions on other AI companies, and has privately blamed Anthropic for dealing with alleged jailbreak vulnerabilities. Anthropic disputed the government’s characterization and argued that no action should be taken.
Regardless, the development has sparked debate among Indian founders, investors and policy experts about whether the country should accelerate efforts to build domestic AI capabilities, deepen investment in open-source alternatives, or continue to rely on a handful of U.S. frontier model providers. For some, the episode is a wake-up call about technological addiction. For others, it is a reminder that access to increasingly critical AI systems can be shaped by geopolitical decisions beyond India’s control.
India has become one of the most important markets for cross-border AI companies. Anthropic and OpenAI both target South Asians the second largest market After the US, it reflects its growing importance in the global AI race. Companies already exist they set up their offices in India, expanded local recruitment, partnershipsand enterprise initiatives betting on accelerating the introduction of its latest technologies to India’s vast base of developers, startups and businesses in recent months.
For many in India’s tech sector, Anthropic’s announcement on Friday wasn’t just an AI company. It has reopened questions about the country’s long-term AI strategy and whether India can afford to depend on a small number of overseas AI providers.
“It completely changes everything,” said Aakrit Vaish, founder of India’s AI venture platform Activate itCiting Anthropic’s decision. “I think this significantly changes the way we all think about sovereign AI in India.”
Vaish told TechCrunch that he woke up Saturday morning “shocked and confused” by the announcement, adding that it bolsters the case for developing local AI capabilities. He expects startups to increasingly turn to open-source models and plans to encourage his portfolio companies to reduce their reliance on a small number of frontier AI providers.
A bigger concern for some founders was what restrictions on access to frontier AIs could mean for competitiveness. Vijay Rayapati, Co-Founder and CEO Atomic workThe episode highlights the risks faced by startups whose teams span multiple countries if access to advanced AI systems becomes increasingly geopolitically restricted, TechCrunch told TechCrunch.
Atomicwork has about 25 employees in the United States, although most of its product engineering team is based in Bangalore, India.
“If your AI team isn’t made up entirely of US citizens, you’re at a competitive disadvantage,” Rayapati said, arguing that uneven access to AI models across the border could give some companies a significant advantage over competitors.
The concern comes as parts of India’s tech sector grapple with questions about how artificial intelligence could reshape the global talent economy. This week US real estate technology company Opendoor India closed its office less than two years after expanding in the country, CEO Kaz Nejatian cited a push to bring operations closer to customers in the U.S. and a shift to smaller AI teams.
While Opendoor didn’t specify how much of the decision was driven by AI-related efficiencies, the move added to a broader discussion about how advances in AI could affect the future of global tech work and what it could mean for India’s position as a hub for engineering talent.
Beyond the anthropic
Along with startups and AI builders, the Anthropic episode also sparked a broader discussion among India’s tech leaders about dependence on foreign AI infrastructure.
Sridhar Vembu, founder of Indian SaaS company Zoho, said the move showed “technology is the main weapon” and urged Indian organizations to increasingly adopt smaller and open-source models.
“What can our government do right now? Make sure organizations in India embrace smaller models, both Indian and Chinese open source,” Vembu he wrote On X.
Investor and former Infosys executive Mohandas Pai he answered Vembu on X emphasized the need for a more ambitious national AI strategy for development and urged the government to significantly increase investment in AI, computing infrastructure and deep technology.
“We are far behind and we need a national mission to get going quickly,” Pai said, calling on the government to create a ₹500 billion (about $5 billion) annual fund for artificial intelligence and deep technology, along with a ₹2 trillion (about $21 billion) loan guarantee program to support cloud infrastructure, hardware and semiconductor development.
Pai’s proposal would dwarf India’s existing AI efforts. New Delhi in 2024 has been confirmed The IndiaAI Mission, which spent ₹103.72 billion (about $1.2 billion) over five years, aimed at expanding computing infrastructure, supporting startups and developing indigenous AI capabilities.
Despite growing interest in artificial intelligence and New Delhi developing domestic capabilities, India remains a relatively minor player in the development of the frontier model. Only a handful of startups are pursuing mainstream AI models, including Sarvamwhich released open source models earlier this year. However, another high-profile AI startup, Crutrim, focused on cloud and AI infrastructure services after initially positioning around the development of the foundational model.
Much of India’s AI ecosystem is instead focused on applications and specialized models built on top of existing foundational models. Recent examples include Avataar AI launched a video-generation model earlier this week aimed to provide a lower-cost alternative to offerings from rivals including Google’s Veo, Kling, Luma and Runway.
Not everyone agrees that the main problem is a lack of capital. Responding to Pai’s comments, Hemant Mohapatra, a partner at Lightspeed, argued that the biggest constraints to building globally competitive AI companies are talent, access to computing resources and execution rather than the size of investment commitments.
Mohapatra estimated that developing a frontier AI model could cost hundreds of millions to a few billion dollars, depending on the approach, but said successful AI companies have historically scaled their capital requirements as adoption increased.
However, for some policy observers, the implications go far beyond AI startups or model providers.
Prasanto Roy, a New Delhi-based technology policy expert who advises multinational companies, said the episode would heighten concerns about strategic autonomy in the Indian government, which he compared to the lessons many countries learned from losing access to SWIFT and other parts of the global financial system after Russia’s attack on Ukraine.
He told TechCrunch that the move could trigger a significant nationalist backlash in India, describing it as a poorly thought-out decision by Washington with ramifications far beyond Anthropic.
“Even if this is corrected or changed, the Anthropic episode shows that there is no such thing as a geopolitically neutral foreign LLM,” Roy said. “America’s AI models are tied to American geopolitics.”
When you purchase through links in our articles, we may earn a small commission. This does not affect our editorial independence.
