India has decided against adopting the US-led voluntary AI safety accord, prioritizing a bespoke regulatory framework tailored to its unique demographic and infrastructure needs. This move seeks to address localized risks like deepfakes and vernacular misinformation. For stakeholders, this shift signals a potential 'techno-legal' approach, where compliance requirements will vary based on the risk level of AI applications in sectors like healthcare and defense.
The Indian government has signaled that it will not adopt the US-led voluntary AI safety accord, choosing instead to develop a domestic regulatory framework. The decision stems from the view that India’s technology ecosystem differs fundamentally from the US market. While the US model relies on voluntary self-regulation by technology firms, Indian industry leaders and policymakers argue that India requires a more localized approach to manage its specific challenges.
Why a Custom Approach Matters
The Indian market is characterized by a massive volume of users who primarily interact with technology in vernacular languages. Furthermore, the country’s AI focus is currently centered on application-level innovation—using existing AI models for specific business solutions—rather than building foundational models from scratch.
Industry stakeholders, including representatives from trade bodies like Nasscom, have noted that simply copying a US-led framework may not address India's unique socio-economic realities. There is a strong push to prioritize safeguards against high-volume threats, such as the rapid spread of misinformation and deepfakes, which can pose significant risks to social and national security.
The 'Techno-Legal' Hybrid Model
As the government shapes its legislative agenda, a 'techno-legal' model is gaining traction. This approach aims to create a two-tiered system for AI regulation. Under this framework, companies developing low-risk technologies may face lighter, more flexible, and voluntary standards to encourage innovation. However, applications in high-stakes sectors—such as healthcare, defense, and government services—would likely be subject to strict, mandatory compliance and accountability requirements.
This shift is also driven by a desire for strategic autonomy. In June 2026, concerns were raised regarding the reliability of foreign AI systems when certain models, such as those from Anthropic, were abruptly suspended in India due to US export control directives. This event highlighted the risks of over-reliance on foreign-controlled AI infrastructure, prompting the government to emphasize the need for sovereign control and reliable access to frontier technologies through initiatives like the IndiaAI Mission.
Investor and Industry Outlook
For investors, this regulatory divergence marks a key development to monitor. Companies operating in the Indian AI space will need to prepare for potentially distinct compliance standards compared to their global peers. While a balanced approach aims to support domestic innovation, the introduction of strict mandates for critical sectors could increase operational costs or necessitate changes in how AI products are deployed. The next important step will be the government’s formal legislative draft, which will clarify which AI applications will be classified as 'high-risk' and what specific liability standards will be imposed on developers and service providers.