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India Steps Into the Global AI Policy

February 24, 2026
Sharikkaa Shanker

Last week, the India AI Impact Summit 2026 took place in New Delhi, India, bringing together world leaders, tech CEOs, researchers and policymakers to discuss the future of artificial intelligence. The event, held from 16 to 21 February 2026, was one of the largest global gatherings on AI ever organized and the first in the series hosted by a country from the Global South. The summit positioned India as a central actor in shaping how AI will be governed, deployed and distributed worldwide. Beyond headline-grabbing investment announcements, the summit’s deeper significance lies in its reframing of global AI policy away from a narrow, Western-dominated lens and toward a more inclusive, multipolar framework.

The India AI Impact Summit was designed not merely as a technology conference, but as a policy-shaping event. Its stated aim was to ensure that artificial intelligence advances in ways that are safe, democratic and oriented toward social good, particularly for developing economies. This framing distinguished the summit from earlier AI gatherings that largely centered on innovation, competitiveness or national security. Participants debated AI’s role in healthcare delivery, education access, climate resilience, agricultural productivity and digital public infrastructure. Leaders repeatedly emphasized that AI should be treated as a public-interest technology, not solely a profit-driven one. For many countries in the Global South, this was a rare opportunity to articulate shared concerns about data exploitation, unequal access to computing resources and the risk of being locked out of AI-driven growth.

One of the summit’s most consequential outcomes was the adoption of the Delhi Declaration, endorsed by representatives from over 80 countries. While not legally binding, the declaration carries significant normative weight. It calls for:

Democratic access to AI, ensuring that smaller states and emerging economies can participate meaningfully in AI development
Ethical safeguards, including transparency, accountability, and human oversight
AI for social good, prioritizing public welfare over purely commercial or military uses

In the global AI policy landscape, declarations like this function as agenda-setting tools. Much like early climate agreements shaped later binding treaties, the Delhi Declaration establishes shared language and expectations that may inform future regulations, standards, and international cooperation.

The summit also served as an economic catalyst. At the summit, major global technology companies and Indian conglomerates announced multi-billion-dollar commitments toward AI research labs, semiconductor manufacturing, cloud infrastructure and talent development within India. These pledges reflect India’s growing role as both a market and a production hub for AI technologies. Importantly, these investments were framed not just as business decisions, but as part of a broader geopolitical realignment. As countries seek to reduce dependence on a small number of AI power centers, India is positioning itself as a trusted alternative—particularly for nations wary of over-reliance on either the United States or China.

To understand the summit’s broader significance, it helps to place it alongside other major AI governance efforts:

Europe’s approach, centered on the EU AI Act, emphasizes regulation, risk classification, and consumer protection.
The United States’ approach prioritizes innovation and voluntary safeguards, with an increasing focus on national security and competitiveness.
China’s model combines rapid deployment with strong state oversight and censorship mechanisms.

The India AI Impact Summit introduced a fourth axis to this landscape: a Global South-led vision that stresses equity, access, and developmental impact. Rather than asking only how AI can be regulated or weaponized, the summit asked how AI can close global gaps rather than widen them. This matters because global AI governance cannot succeed without buy-in from developing nations, which represent the majority of the world’s population and data growth. India’s leadership helps legitimize AI policy conversations beyond traditional power centers and creates space for new coalitions of middle-income and emerging economies.

Despite its ambition, the summit was not without controversy. Logistical challenges, last-minute cancellations by high-profile speakers and domestic political criticisms raised questions about execution. Some observers also noted the absence of binding enforcement mechanisms in the Delhi Declaration, warning that aspirational language must eventually translate into concrete policy. Nevertheless, most analysts agree that symbolic and agenda-setting moments matter in global governance, especially in a field evolving as rapidly as artificial intelligence. The India AI Impact Summit may be remembered less for its individual announcements and more for who led the conversation and how it was framed. As future AI treaties, standards and cooperative frameworks emerge, the ideas articulated in New Delhi are likely to resurface.