For decades, countries worried about dependence on oil, semiconductors and cloud infrastructure. Artificial intelligence was supposed to be different. It promised to make cutting-edge technology available to anyone with an internet connection.
But Anthropic’s sudden rollback of access to some of its most advanced models after a U.S. government directive has exposed an uncomfortable reality. As AI becomes more important, countries that do not build it may find themselves vulnerable to decisions made elsewhere.
Anthropic Fable Restrictions
Anthropic recently disabled access to its advanced Mythos and Fable models after receiving a U.S. export-control directive citing national security concerns, according to Reuters.
The move surprised developers and enterprises that had integrated the models into their workflows. More than 50 cybersecurity leaders, including executives from Nvidia and Adobe, later urged Washington to reconsider the restrictions, arguing that limiting access to powerful AI models could weaken cybersecurity efforts.
The episode highlighted an uncomfortable truth. Access to frontier AI systems is not entirely determined by market forces. Governments can intervene, and companies often have little choice but to comply.
For users outside the United States, that creates a vulnerability they cannot directly influence.
AI Becomes Infrastructure
Artificial intelligence is increasingly moving beyond the realm of software.
Businesses are using large language models for coding, research, customer service and content creation. Microsoft Research, which studied 4,867 software developers, found that access to generative AI tools increased completed tasks by 26.08%.
As AI becomes embedded into everyday work, disruptions become more costly.
This is why many experts are beginning to view AI less as a productivity tool and more as strategic digital infrastructure. Countries once worried about securing energy supplies and semiconductor manufacturing. The next strategic dependency could be intelligence itself.
India’s Dependence Persists
India has emerged as one of the world’s largest adopters of AI. Yet most frontier models are controlled abroad.
OpenAI, Anthropic, Google and xAI are American companies. DeepSeek is Chinese.
According to Stanford University’s AI Index 2025, institutions in the United States produced 40 notable AI models in 2024, while China produced 15. None of the notable frontier models identified by the report originated from India.
That gap matters. Stanford’s report also showed that India accounted for 13.5% of the world’s AI talent, making it one of the largest talent pools globally.
But talent alone does not guarantee technological sovereignty. Today, many Indian businesses remain consumers of foreign AI systems rather than owners of the underlying technology.
Countries Seek Sovereignty
This is not the first time nations have confronted technological dependence.
Europe’s concerns over reliance on American cloud providers led to initiatives such as Gaia-X. China’s restrictions on advanced chips accelerated efforts to build indigenous AI ecosystems.
Anthropic’s rollback could trigger a similar debate around AI sovereignty.
As artificial intelligence becomes more deeply embedded in economies and governments, questions about who controls it are likely to become increasingly important.
The issue extends beyond economics. It is also about resilience. Countries that lack alternatives may find themselves exposed to policy decisions made thousands of miles away.
India Builds Alternatives
India is not starting from zero.
In March 2024, the government approved the IndiaAI Mission with an outlay of ₹10,372 crore to strengthen computing infrastructure, support startups and accelerate domestic AI development.
Private companies are also stepping up. Bengaluru-based Sarvam AI has emerged as one of India’s most ambitious AI startups. In June 2026, HCLTech agreed to acquire a 10.5% stake in the company, valuing it at $1.5 billion.
Sarvam recently raised $234 million in the first close of its Series B round and has released open-source models tailored for Indian languages and enterprise applications.
Its co-founder, Pratyush Kumar, has publicly warned that excessive dependence on foreign AI systems creates strategic vulnerabilities and argued that India should avoid becoming merely a consumer of technologies developed elsewhere.
Several other Indian startups are working on domain-specific and multilingual AI models. But building globally competitive frontier systems requires enormous computing power, talent and capital.
That race is currently dominated by a handful of companies in the United States and China.
Beyond One Company
The significance of Anthropic’s rollback extends far beyond one AI company.
It reveals how quickly artificial intelligence is becoming a geopolitical issue.
For years, dependence on foreign software was considered manageable. AI may prove different. If intelligence itself becomes a strategic resource, then countries that merely consume it could face vulnerabilities that are harder to predict.
India’s challenge is not the absence of ambition. The country has begun investing in homegrown infrastructure and companies such as Sarvam AI are trying to build domestic capabilities.
The bigger question is whether those efforts can scale quickly enough in a world where frontier AI is increasingly concentrated among a handful of players.
Because as the Anthropic episode demonstrated, access to intelligence may ultimately depend on decisions made far beyond India’s borders.
The Logical Indian’s Perspective
As artificial intelligence becomes increasingly central to economies and societies, countries face a critical challenge: balancing access to global innovation with the need for technological self-reliance.
Anthropic’s rollback highlights why building domestic AI capabilities is no longer just an economic ambition but a matter of long-term resilience.
India’s growing ecosystem, from the IndiaAI Mission to startups like Sarvam AI, shows progress, but sustained investment and collaboration will be essential to ensure the country remains a creator, not just a consumer, of AI.
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