India AI ambitions face setback as US export controls suspend access to Anthropic AI models

4 Sources

Share

A US government directive abruptly suspended India's access to Anthropic's advanced Mythos and Fable models, exposing critical vulnerabilities in the country's AI strategy. The incident has sparked urgent discussions between Washington and New Delhi over stable AI access, with experts warning that reliance on foreign-controlled AI threatens India's goal of becoming an AI power rather than merely an adopter.

US Export Controls Disrupt India's Access to Advanced AI

A US government directive in June forced Anthropic to suspend access to its most advanced AI models, Fable 5 and Mythos 5, for all foreign nationals, delivering an unexpected blow to India AI ambitions

1

. The Commerce Department's Bureau of Industry and Security issued the order at 5:21 p.m. ET on June 12, citing national security concerns related to a reported jailbreak incident that could bypass Fable 5's safeguards

4

. Anthropic, unable to reliably verify user nationality, disabled both models entirely, though access to its less powerful Claude models remained unaffected. The directive came shortly after India had secured access to these highly guarded AI systems, making the suspension particularly jarring for policymakers and enterprises building critical systems around these Anthropic AI models.

Reliance on Foreign-Controlled AI Exposes Strategic Vulnerability

The abrupt withdrawal has exposed what experts describe as a fundamental weakness in India's AI strategy. "It is arguably the most visceral example of the risks of depending on frontier AI controlled outside India, because access vanished overnight by government order rather than commercial choice," said Subimal Bhattacharjee, a technology policy analyst

1

. While reliance on foreign-controlled AI infrastructure including chips, cloud platforms, and digital services is not new for India, the Anthropic episode transformed an abstract risk into immediate reality. Kazim Rizvi, founder of public policy think tank The Dialogue, emphasized that the issue extends beyond one model: "The fact that a capability relevant to cyber defence, vulnerability discovery, and critical infrastructure security could be withdrawn through decisions taken outside India" represents a strategic problem

2

. Nations relying entirely on external providers remain vulnerable to US export controls, geopolitical tensions, and shifting regulatory priorities.

Source: MediaNama

Source: MediaNama

India Pushes US for Stable AI Access Guarantees

In response to the suspension, India has initiated high-level discussions with the United States to secure stable AI access for trusted partners. S. Krishnan, Secretary of MeitY, speaking at the second Pax Silica Summit in Washington, stated that India sought clarity on the US regulatory framework: "We can't have abrupt cutoffs" if advanced AI is to be integrated into digital infrastructure and public services

4

. US Under Secretary of Economic Affairs Jacob Helberg confirmed ongoing "sensitive" discussions, emphasizing a "gradual, measured approach" to releasing models like Fable in ways that protect critical infrastructure such as power grids

3

. While Krishnan indicated there was "an understanding" that access once provided would not be cut off, he clarified this represents an assurance rather than a formal treaty or binding framework

4

. The US-India tech partnership is now focused on establishing frameworks that manage risks while fostering technological advancement.

Source: ET

Source: ET

Building Domestic AI Capabilities and Resilient AI Supply Chains

The incident has intensified calls for India to develop stronger domestic AI capabilities rather than risk becoming merely an AI adopter. "A country becomes an AI power when it possesses meaningful influence over the foundational layers of the AI stack," Rizvi explained, referring to advanced models, compute infrastructure, semiconductor access, and data ecosystems

1

. Sarang Nerkar, founder of Innosapien Technologies, warned that organizations need to carefully assess dependencies: "Imagine if access were suddenly restricted to a model that an organisation had relied on for two years. Entire workflows and dependencies could be affected"

2

. Krishnan emphasized the importance of resilient AI supply chains, stating that lessons from COVID-19 and geopolitical tensions show the danger of over-reliance on single sources, advocating for "a multiplicity of at least three or four reliable and trusted sources of supply"

4

.

Path Forward: Open-Source Alternatives and Strategic Infrastructure

Experts argue that frontier AI should now be treated as strategic infrastructure, not merely commercial software. Mishi Choudhary, founder of Software Freedom Law Center India, noted that "a handful of companies and governments control the most advanced models, the compute infrastructure, and often the terms of access"

1

. She advocated for greater resilience through open-source alternatives, public-interest research, and procurement policies that reduce dependence on any single provider. As access to frontier AI increasingly becomes a geopolitical issue, India will need significantly greater investments in research and compute infrastructure if it wants a meaningful role in shaping the global AI race. Krishnan made clear that India's current position favors innovation over regulation: "Right now, it is still time for innovation. It's not yet time to actually look at regulation in the sector"

4

. The challenge ahead involves balancing immediate economic benefits with long-term strategic safety while building capabilities that ensure India controls its AI destiny.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved