MUMBAI: When one door to AI closes, India’s developers immediately start looking for a side entrance and sometimes a back door too. Anthropic’s latest artificial intelligence models, Claude Fable 5 and Mythos 5, have ignited debate across India’s technology community after access was restricted under US export control rules, limiting availability largely to American users and selected markets.
What began as a policy decision rooted in national security concerns has quickly evolved into a broader conversation about technology access, digital sovereignty and India’s long-term dependence on foreign AI platforms.
The restrictions have affected developers, startups and researchers worldwide, with reports suggesting that even prominent members of the global AI research community encountered limitations because of citizenship-based access rules. The episode has underscored how geopolitics is increasingly influencing who gets access to the world’s most advanced technologies and who does not.
But in India, the response took a predictably inventive turn.
A viral social media post by an Indian developer outlined several potential “jugaad” methods users could employ to bypass the restrictions, including VPNs, proxy servers and overseas account arrangements. The post quickly gathered momentum online, sparking a flood of reactions ranging from technical suggestions to tongue-in-cheek confidence that access barriers would prove difficult to enforce against India’s resourceful developer community.
The humour resonated because it reflected a familiar reality within India’s technology ecosystem: obstacles often become invitations to experiment.
Yet industry experts warn that such workarounds may offer only temporary relief. As AI companies tighten compliance requirements through stronger identity verification systems, location checks and enhanced monitoring, bypassing restrictions could become increasingly difficult. Users may also expose themselves to privacy, security and policy risks when relying on unofficial routes.
Beyond the memes and workaround discussions lies a far more consequential question.
The controversy has revived concerns about India’s reliance on AI systems developed and controlled overseas. Despite being home to one of the world’s largest pools of software developers and engineers, the country remains heavily dependent on foundational models created by US-based technology firms.
For many observers, the Claude restrictions serve as a reminder that access to cutting-edge AI can be shaped by political decisions far beyond India’s control.
That reality is strengthening calls for greater investment in domestic AI capabilities, including foundational models, computing infrastructure and locally trained systems designed for Indian languages, industries and public services.
Government-backed initiatives such as the National AI Mission are already attempting to build that foundation, but industry leaders argue the pace of development must accelerate if India hopes to compete in a rapidly consolidating global AI race.
In the short term, developers may continue searching for ways around the restrictions. In the long term, however, the episode points to a larger challenge: building an AI ecosystem where access is determined not by geography, but by capability.
For India’s tech sector, the latest AI roadblock may ultimately be remembered less for the workarounds it inspired and more for the wake-up call it delivered.
