The government is undertaking a comprehensive review of the IndiaAI Mission amid growing concerns over access to advanced artificial intelligence technologies following recent US export controls that forced Anthropic to suspend global access to its latest AI models. As reported by The Financial Express, consultations are underway with industry leaders, researchers, startups and policymakers to redefine the objectives of the IndiaAI Mission, with officials believing that the assumptions underpinning AI policy are changing rapidly as frontier technologies increasingly intersect with geopolitics, national security and economic competitiveness. The review comes after Anthropic was directed by US authorities to suspend access to Fable 5 and Mythos 5 worldwide, with the company stating that the export control directive bars access to the models by 'any foreign national, whether inside or outside the United States', including some of its own employees.
India faces mounting concerns about AI sovereignty following recent developments around Anthropic's frontier AI systems — Claude's 'Fable 5' and 'Mythos 5' — being suspended for foreign nationals worldwide, including Anthropic's own non-American employees. As reported by Firstpost, this signals that artificial intelligence is increasingly being treated as controlled infrastructure rather than open commercial technology, immediately raising concerns about India's dependence on foreign AI ecosystems. The country remains deeply dependent on external systems for compute, foundation models, and cloud infrastructure, despite strong capabilities in application-layer innovation. The Iran conflict and broader instability in West Asia has again exposed India's oil vulnerability, with the country heavily dependent on imported crude oil and any disruption in the Strait of Hormuz impacting oil prices, shipping insurance, inflation, fiscal balance, and overall macroeconomic stability.
The ongoing review is examining whether the current IndiaAI Mission, with an outlay of ₹10,372 crore, remains aligned with the changing environment. According to The Financial Express, officials noted that the rapid proliferation of open-source AI models globally has altered the landscape, with the focus shifting towards building capabilities that ensure long-term interests are protected rather than simply creating another model. The review is also examining funding requirements for the sector, with several industry stakeholders arguing that significantly larger investments will be necessary if India is to build meaningful capabilities across all four focus areas. Former Infosys CFO Mohandas Pai recently called for a more ambitious national AI effort, proposing an annual fund of ₹50,000 crore for deep technology and AI, along with a ₹2 lakh crore guarantee fund to support cloud infrastructure, hardware and semiconductor development.
Industry leaders are emphasizing the critical importance of AI sovereignty following recent developments. Sridhar Vembu, founder of Zoho, argued that recent developments underscore the importance of strengthening domestic and open-source AI ecosystems rather than relying exclusively on foreign platforms, stating that 'Technology is the ultimate weapon. National sovereignty, national security, all of it is now about technology'. The discussions are converging around sovereignty, safety, talent and research, which could form the foundation of a revamped IndiaAI framework. India is expected to strengthen capabilities not only for deploying AI systems but also for evaluating, auditing and securing them, moving beyond the current focus on creating AI computing infrastructure and supporting indigenous AI models.
To address India's AI challenges, experts recommend a structured public-private partnership model where the government actively supports and enables private sector participation through incentives such as Production Linked Incentives (PLIs). As reported by Firstpost, India should establish a dedicated fund-of-funds of around ₹50,000 crore per year, managed by private-sector institutions or banks, rather than government departments, with minimal bureaucratic friction ensuring smooth capital deployment. The analysis reveals that Indian capital, with notable exceptions, has often appeared more comfortable with financial engineering than scientific risk-taking, with sign-on bonuses seen as impossible in India compared to American or Chinese firms. The report warns that the age of artificial intelligence is proving far less forgiving, with many Indian technology firms missing previous digital phases and remaining unconvinced about investing in frontier models.
