THE TALK – AI Impact Summit 2026 – Bulletin #Day-3
18 February 2026 | Bharat Mandapam, New Delhi
The third day of the AI Impact Summit 2026 shifted the conversation from governance frameworks and sectoral applications toward global responsibility, trusted deployment, and the long-term political economy of artificial intelligence (AI). Across sessions, a central theme emerged: the future of AI will be determined not only by technological capability, but also by multilateral cooperation, equitable access, institutional trust, and accountable innovation. 
On 18 February 2026, in a brightly lit hall in New Delhi, a small team from a Bengaluru startup stepped onto the stage at the India AI Impact Summit and quietly changed the conversation about artificial intelligence in the world's most populous country.

They did not unveil a monster model with trillions of "brain cells". They did not promise to out-think every chatbot on the planet. Instead, they showed two carefully built AI systems designed from the ground up for Indian realities: one nimble enough to run a friendly conversation on a basic feature phone, the other powerful enough to handle serious reasoning tasks while still being far cheaper to operate than the giants from California or China.

The company is Sarvam AI. In less than three years it has gone from a promising idea to a full-stack platform that already handles text, voice, documents and on-device intelligence across most of India's 22 official languages. For ordinary Indians — the farmer in rural Odisha who prefers to speak Odia, the small-shop owner in Chennai who mixes Tamil and English, the government clerk digitising handwritten records — this matters more than any headline-grabbing number of parameters.
    
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Towards Multilateral Agreement on Enforcing Red Lines
This session evolved into a wide-ranging reflection on catastrophic AI risks, systemic socio-technical harms, and the governance mechanisms required to manage both. Speakers contrasted rigid “red lines” aimed at preventing extreme scenarios with the more complex challenge of addressing gradual harms such as manipulation, democratic erosion, over-reliance on automated systems, and environmental extraction.

Country perspectives illustrated differing regulatory pathways across regions. Brazil emphasised a sector-specific regulatory approach tailored to contextual risks and industry realities, while Kenya highlighted persistent structural inequities and the limited participation of Global South countries in shaping global AI governance. Switzerland, in contrast, focused on translating high-level principles into concrete and enforceable governance mechanisms, underscoring the importance of operational clarity in regulatory design.

Civil society voices stressed grounding AI governance in human rights, justice, and democratic accountability. A key consensus emerged that red lines must remain measurable, adaptive, and inclusive, supported by sustained multilateral engagement, particularly through the United Nations, even if a single global treaty remains distant. 
    
On the panel were: Anita Gurumurthy, IT for Change; Cam Rincon, Ada Lovelace Institute; Gaia Marcus, Ada Lovelace Institute; Guilherme Fitzgibbon Alves Pereira, Ministry of Foreign Affairs, Brazil; Marielle Mumenthaler, Federal Department of Foreign Affairs of Switzerland; and Rumman Chaudhury, Humaine Intelligence.

– Reporting by Bhavika Khatter
"What's happening in India with AI is really quite amazing". That was the verdict from OpenAI CEO Sam Altman on Thursday as he signalled a major vote of confidence in India's tech landscape.

Altman praised India's current "conviction" to invest across the entire AI stack.

Highlighting the rapid adoption of tools like Codex, which he expects to become the world's largest market "pretty quickly", Altman signalled that India's tech ecosystem is on the verge of a massive, AI-driven entrepreneurial explosion.
   
   
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Scaling Trusted AI for 8 Billion+
Hosted by the US-India Strategic Partnership Forum, this discussion highlighted that the central risk of rapid AI innovation is unequal global access rather than technological stagnation. Without investments in digital infrastructure, skilling, cybersecurity, and responsible governance, AI could deepen rather than reduce inequality.

Speakers expressed optimism about India’s comparative strengths, including scalable digital solutions, multilingual innovation, and entrepreneurial dynamism, suggesting that leadership may emerge through applications and deployment at scale, not only foundational model development.

The session concluded that trusted AI must be collaborative, inclusive, and accountable, ensuring benefits reach all sections of society rather than a technological elite.
    
On the panel were: Aparna Bawa, Zoom; Bipul Sinha, Rubrik; Brad Smith, Microsoft;  Mukesh Aghi, US-India Strategic Partnership Forum; Marya Shakil, India Today Network; and Umesh Sachdev, Uniphore.

– Reporting by Bhavika Khatter
French President Emmanuel Macron on Thursday said artificial intelligence, GPUs, and chips have become matters of geopolitics and macroeconomics, praising India’s sovereign approach to AI development at the India AI Impact Summit 2026.

“AI, GPU, chips are now directly translated in geopolitical and macroeconomic terms. Some time for the best, some time for the worst, I have to say,” Macron said, addressing the summit in Delhi.

He highlighted India’s deliberate policy choices in artificial intelligence. “India made a deliberate sovereign choice, SML, small language models. Task-specific, designed to run on a smartphone, India built the first government-funded AI and deployed 38,000 GPUs at the cheapest rates to every startup in the country, as you perfectly describe, Mr Minister,” he said.

   
To read more,please click: https://tinyurl.com/ycy6w5sy
NVIDIA x Activate: Building AI Companies in India from Day Zero
This session examined what it takes to build globally competitive, investment-ready AI companies from inception. Speakers emphasised integrating trust, privacy, safety, and scalability directly into technical architecture through zero-trust systems, confidential computing, and algorithmic accountability.

From an investment lens, sustainable success was linked to compute access, GPU infrastructure, cloud strategy, and viable unit economics, rather than hype-driven expansion. The discussion underscored the importance of public-private collaboration, founder support ecosystems, and early-stage technical resources to enable resilient and inclusive AI entrepreneurship in India. 
   
On the panel were: Tobias Halloran, Nvidia; Knowledge Partners: NVIDIA

– Reporting by Gazal Arora
The Trump administration is planning a new Peace Corps initiative that would send thousands of US science and math graduates abroad to boost foreign countries’ reliance on American technology and reduce global adoption of competing products from China, according to a US official.

Called the Technology Prosperity Corps, the program would deploy as many as 5,000 American volunteers and advisers over the next five years to Peace Corps partner nations, the official said. It will seek to steer countries toward US artificial intelligence hardware and software and away from technology made in China, the main US rival in AI.


To read more, please click: https://tinyurl.com/8hjr95xz
Building Trustworthy AI in Digital Public Infrastructure
As AI becomes increasingly embedded in public service delivery, the session emphasised that safeguarding human rights, transparency, explainability, and accountability is essential to sustaining public legitimacy and trust in AI-enabled governance systems.

Speakers highlighted the urgent need for robust legal and data-governance frameworks, alongside lifecycle-based accountability mechanisms and impact assessments to ensure responsible deployment across stages of design, implementation, and use. The importance of accessible grievance-redress systems, strengthened AI literacy, and deeper multistakeholder coordination was also underscored as critical to equitable and trustworthy adoption.

Insights from the Global South further revealed persistent gaps between normative policy principles and real-world implementation, reinforcing the urgency of operationalising trustworthy, inclusive, and resilient AI within digital public infrastructure (DPI) at scale.
   
On the panel were: Norman Schulz, Federal Foreign Office, Germany; Juan Carlos Lara, Derechos Digitales; Alexandria Walden, Google; Prateek Waghre, Tech Global Institute; and Zach Lampell, ICNL FOC–TFAIR.

– Reporting by Gazal Arora
Main Stage Reflection: AI, Power, and Global Inclusion
The main-stage dialogue framed AI as a historic technological turning point capable of either reducing inequality or concentrating power. Speakers emphasised that access alone is insufficient, countries must invest in skills, infrastructure, usability, and responsible innovation to enable meaningful participation.

While optimism surrounded AI-driven creativity, entrepreneurship, and global opportunity —especially for individuals from smaller towns and diverse backgrounds — concerns persisted about corporate concentration and geopolitical asymmetry.

Ultimately, the discussion positioned AI as a transformative but contested global force, whose societal outcome will depend on how effectively trust, inclusion, innovation, and governance are balanced.
  
On the Panel were: Keynote Speaker: Brad Smith, Vice Chair & President, Microsoft, Opening Remarks: Mukesh Aghi, President & CEO, USISPF, Panelists: Bipul Sinha, CEO & Chairman & Co-Founder, Rubrik; Aparna Bawa, COO, Zoom; Umesh Sachdev, CEO & Co-Founder, Uniphore; and Marya Shakil, Managing Editor, India Today Network.

– Reporting by Vijay Singh
Leadership Reflection: Trust, Responsibility, and the Future of AI
A forward-looking leadership perspective at the summit underscored the evolving nature of AI, from a functional tool toward a trusted societal partner. Dr. Vivek Lall, Chief Executive of General Atomics Global Corporation, emphasised that the coming decade of AI will be defined by how effectively intelligence is paired with responsibility and capability with resilience.

His remarks highlighted the foundational requirements of secure data ecosystems, transparent governance frameworks, and resilient energy and compute infrastructure to enable reliable large-scale AI deployment. Equally important is directing AI toward tangible human outcomes, including safer transportation, faster disaster response, improved healthcare delivery, enhanced productivity, and strengthened national security.

Positioning US-India collaboration as a potential anchor for global AI standards, the reflection reinforced a broader summit theme: that the long-term legitimacy of AI will depend not only on innovation, but on trustworthy, human-centred, and globally cooperative deployment capable of delivering shared societal benefit.
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