This episode is part of our special series on the India AI Impact Summit 2026, examining the conversations, perspectives, and debates that are shaping global AI discourse.

Episode Summary

In this episode of Interpreting India, Nidhi Singh is joined by Mariano-Florentino (Tino) Cuéllar, President of the Carnegie Endowment for International Peace and one of the very few people to have attended all four global AI summits, from Bletchley Park to Delhi. The conversation traces the arc of AI summit diplomacy, what has been accomplished, where the gaps remain, and what the process reveals about how different parts of the world are thinking about a technology that is moving faster than any single government or institution can keep up with.

How has the conversation at AI summits shifted from existential risk and frontier safety to economic opportunity and beneficial deployment, and is that a sign of progress or a loss of focus? What did India bring to the AI governance conversation that the UK, South Korea, and France could not, and how does the scale of this summit change the trajectory of the summits? With the UK and the United States stepping back from multilateral consensus, can the summit series still deliver meaningful outcomes? What should Geneva, the next summit host, actually try to accomplish?

Episode Notes

Tino has been in the room at all four AI summits, and his account of how the conversation has evolved is both candid and grounding. Bletchley Park, he says, was about putting AI on the agenda as a matter of global significance. Seoul was about bringing the private sector formally into that conversation. Paris marked a pivot towards economic opportunity, reflecting a growing recognition, particularly in Europe, that being seen only as a regulator was not a position anyone wanted to hold for long. And New Delhi brought something none of the previous summits had: scale, and a genuinely different set of questions. Half a million people attended, and the conversations happening on the floor of the convention center were about crop yields, public service delivery, and what the technology meant for jobs and families. That, Tino says, is not a dilution of the AI safety agenda. It is a necessary part of building one that the rest of the world can actually be part of.

On the criticism that these summits produce declarations that no one enforces and voluntary commitments that companies quietly walk away from, Tino is pragmatic rather than defensive. He points to the eradication of smallpox, the reduction of nuclear weapons, and the Montreal Protocol as reminders that consequential international progress tends to look messy and incremental from the inside. The network of AI safety institutes that now exists across multiple countries, the UN panel on AI, and the fact that frontier labs are taking evaluation and testing seriously at all, are all, in his view, real if incomplete achievements. The harder question, particularly after the U.S. and UK declined to sign the Paris declaration, is whether the summit process can hold its shape as geopolitical competition intensifies and the appetite for multilateral consensus shrinks.

For Geneva, Tino hopes the conversation moves inward, towards understanding how AI is actually changing organizations, families, and daily life at the micro level. He is also candid about risks he thinks are still not being taken seriously enough, particularly around loss of control, pointing to early evidence of models that scheme, misrepresent, and in controlled environments show signs of self-preservation. His overall posture is one of cautious optimism: he does not think the technology should slow down, but he does think the work of aligning it with what is genuinely good for people has barely begun.