Senior policy makers highlighted the need to shift focus from expanding data-center capacity to ensuring that resources benefit public interests in areas like health, education, and agriculture. At the ‘India AI Impact Summit 2026,’ a report on “Opening Up Computational Resources for New AI Futures” was unveiled by the Ministry of Statistics and Programme Implementation. Speakers at the event stressed the importance of demand aggregation, shared infrastructure, skills development, and mission-driven governance frameworks to effectively utilize computational resources for startups, researchers, and social-sector organizations.
Senior government officials, philanthropic organizations, and global AI experts discussed how catalytic funding, new institutional models, and South-South cooperation can enhance access to advanced computing resources for the Global South. Dr. Saurabh Garg, Secretary of the Ministry of Statistics and Programme Implementation, expressed the collective belief that AI has the potential to revolutionize the world, emphasizing the importance of ensuring equity, inclusivity, and alignment with public interests in this transformation. Martin Tisne, CEO of AI Collaborative, expressed optimism about the future computing capacity in the Global South but raised concerns about the efficient utilization of data centers.
Vilas Dhar, President of the Patrick J. McGovern Foundation, noted that transforming AI into a scalable service poses not only a product challenge but also a policy challenge. He highlighted the necessity of new institutional mechanisms to integrate policy, capital, and large-scale deployment, emphasizing that accessibility should not solely rely on market forces. Shikoh Gitau, CEO of Qhala, stressed the importance of anchoring compute demand in well-defined development outcomes and promoting cross-country cooperation to support these objectives. Gitau emphasized that clear use cases are essential for addressing GPU demand and establishing effective governance frameworks to bridge existing gaps.
The session outlined a roadmap involving catalytic public and philanthropic funding, shared computational infrastructure, and interoperable governance frameworks to collectively enable AI to serve as a global public good, as per the statement released.
