AI Impact Summit & New Delhi Declaration: Key Takeaways in Brief

1. Quick Summary of the AI Impact Summit

• Event: AI Impact Summit, New Delhi, February 16–20
• Scale: Over 5 lakh visitors, 500+ discussions, top global AI CEOs and heads of state
• Key Outcome: New Delhi Declaration on AI signed by 88 countries and international organisations
• Focus: Democratising AI, making it safe and trusted, and relevant to the Global South
• Investments: About $250 billion in overall AI commitments and $20 billion for frontier deep-tech research

2. Background: How Did AI Summits Evolve?

• Start of formal AI summits: Since 2023, with annual global gatherings.
• Key milestones:
  • 2023 – Bletchley Park, UK: Focus on AI safety; India represented by MoS IT Rajeev Chandrasekhar.
  • 2024 – Seoul: Continued multilateral dialogue on AI governance.
  • 2025 – Paris AI Action Summit: Co‑chaired by PM Narendra Modi and French President Emmanuel Macron. Marked a shift as U.S. Vice‑President J.D. Vance rejected a strict “safety‑first” line, pushing for innovation and investment.
• No permanent global body yet: Each host country passes on the baton to the next; no standing international organisation manages these summits.

3. India-Hosted Summit: Main Goals

3.1 Global Priorities

• Democratisation of AI: Ensure AI capabilities reach as many people as possible.
• Global South focus:
  • Better representation of under‑represented languages in AI models.
  • Adapt AI solutions to local contexts and development needs.
• Safe and trusted AI: Promote norms, tools, and practices that make AI secure, reliable, and accountable.

3.2 Domestic Priorities

• Make India an AI hub:
  • Attract investment in AI infrastructure and research.
  • Showcase India as a competitive destination for data centres and AI labs.
• Boost AI-led development:
  • Encourage AI use in healthcare, agriculture, education, and public services.
  • Support startups and domestic AI companies.
• Thematic working groups:
  • Human capital
  • Inclusion for social empowerment
  • Safe and trusted AI
  • Resilience, innovation, and efficiency
  • Science and democratising AI resources
  • AI for economic development and social good

4. Key Outcomes of the Summit

4.1 Scale and Participation

• Over 5 lakh visitors, surpassing the G20 Summit attendance.
• More than 500 panel discussions and sessions with international experts.

4.2 Investment and Strategic Initiatives

• Total commitments:
  • ~$250 billion in AI-related investments.
  • ~$20 billion earmarked for frontier deep‑tech AI research.
• Pax Silica initiative:
  • India joined the U.S.-led Pax Silica network.
  • Aim: reduce concentration of power in electronics manufacturing and critical minerals; build a coalition of like‑minded countries.
• New Delhi Declaration on AI:
  • Signed by 88 countries and international organisations, including the U.S., China, France and other AI powers.
  • Centres AI as a driver of economic growth and social good.

4.3 Domestic AI Breakthrough: Sarvam AI

• Launch of India’s first domestically trained multi‑billion‑parameter LLMs by Sarvam AI (Bengaluru‑based).
• Support:
  • Private equity funding.
  • Government backing via subsidised compute under the IndiaAI Mission.
• Model features:
  • Claimed to be efficient and competitive on benchmarks.
  • Open‑source release, with a beta chatbot interface launched after the summit.

4.4 Operational and Image Setbacks

• Overcrowding & logistics:
  • Unexpectedly high turnout on opening day.
  • Security bottlenecks and traffic snarls delayed even some speakers.
• Robodog controversy:
  • Galgotias University exhibited a Chinese‑made robodog as a student project.
  • After public exposure, organisers asked the university to vacate the expo.
• Political protest:
  • Indian Youth Congress members staged a protest at the expo with hidden T‑shirts reading “Modi is Compromised”.
  • They were detained; Delhi Police initiated an investigation.

5. Investment Commitments: Who Is Betting on India’s AI?

5.1 Large Indian Conglomerates

• Reliance Industries Ltd. (RIL)
  • Announced commitments of around ₹10 lakh crore in domestic AI.
• Adani Group
  • Announced a similar scale of commitment in domestic AI (comparable to RIL’s figure).

5.2 Other Major Investors Beyond Reliance & Adani

• Google
  • Shared more details on its existing $15 billion investment in India.
  • Includes data centre and AI projects and a subsea cable system directly connecting India and the U.S.
• Tata Group – OpenAI Pact
  • OpenAI to lease 100 MW of data centre capacity from Tata’s HyperVault.
  • OpenAI will provide its advanced models to Tata employees.
• Infosys – Anthropic Agreement
  • Partnership for access to Anthropic’s advanced AI models.
  • Notable in the context of investor reactions to Anthropic’s strong coding LLM performance.
• Yotta Data Services
  • Announced $2 billion investment in data centre infrastructure in India.
  • Will deploy Nvidia GPUs to power AI workloads.

6. The New Delhi Declaration on AI

6.1 Who Signed It?

• Signatories: 88 countries and international organisations.
• Includes major AI powers such as the United States, China, and France.

6.2 Nature of Commitments

• Commitments are explicitly described as “voluntary” and “non‑binding”.
• Design choice aimed at maximising participation and building broad consensus.

6.3 Core Themes

• Democratic diffusion of AI:
  • Charter to ensure AI benefits are widely shared across countries and populations.
  • Particular emphasis on inclusion of the Global South.
• Safe, secure, and trustworthy AI:
  • Encourages best practices, benchmarks, and tools to mitigate AI risks.
• AI for economic growth and social good:
  • Reinforces AI’s role in development, public services, and social empowerment.

7. Global AI Impact Commons & Other New Platforms

7.1 What Is the Global AI Impact Commons?

• Definition: A shared database of AI use cases from around the world.
• Aim:
  • Help countries, especially in the Global South, learn from existing AI deployments.
  • Allow policymakers and practitioners to draw inspiration and adapt successful models.
  • Reduce duplication of effort and lower the entry barrier to impactful AI projects.

7.2 Trusted AI Commons

• Purpose: A repository of tools, benchmarks, and best practices.
• Goal: Support the development of secure, robust, and trustworthy AI systems globally.

7.3 Other Declared Initiatives

• International Network of AI for Science Institutions
  • Links technical and scientific institutions worldwide.
  • Aims to accelerate AI‑driven scientific research through collaboration.
• AI for Social Empowerment Platform
  • Focus on AI applications that improve inclusion, welfare, and public services.
• AI Workforce Development Playbook and Reskilling Principles
  • Guidance for countries on skills, training, and reskilling in an AI‑driven economy.
• Guiding Principles on Resilient and Efficient AI
  • Encourages building AI systems that are energy‑efficient, robust, and resilient to disruptions.

8. Why This Summit Matters

• For India:
  • Positions India as a major AI policy convener and investment destination.
  • Showcases domestic capability through initiatives like Sarvam AI.
• For the Global South:
  • Pushes language inclusion, access to tools, and shared knowledge platforms.
  • Provides a template for development‑oriented AI rather than only frontier research.
• For global AI governance:
  • Reinforces a multi‑polar, cooperative approach to AI.
  • Balances innovation and investment with the need for safety and trust.

Source: The Hindu