Agenda

AI agents are evolving from simple task executors to intelligent partners that can remember, reason, and work together autonomously. This panel explores frontier advances in AI memory systems, decision-making capabilities, and multi-agent collaboration – and how service providers are actively reshaping the way enterprises engage with and operate through these systems. From AI research to global cloud infrastructure to cross-border financial services, the panellists bring distinct vantage points on what this transformation looks like in practice, and what leaders must do to stay ahead of it.

AI is no longer emerging — it is here, and it is working. With over 900 million people using ChatGPT on a weekly basis and enterprises on track to reach parity with consumer revenue by end of 2026, the question for organisations is no longer whether to adopt AI, but how to normalise it across every function, every workflow, and every team. For the companies getting this right, AI is becoming the operating system of the business itself — compounding capability over time and redefining what is possible at every level. Nowhere is this more relevant than in Singapore, where government, education, and industry are moving with urgency to translate frontier AI into practical outcomes. In this fireside chat, Denise Dresser takes us inside what genuine enterprise transformation looks like in practice — the mindset shifts required, the implementation challenges, and what every leader in this room should be doing differently, starting today. Denise will also share why countries like Singapore are well positioned to lead the next phase of AI adoption, by pairing strong digital foundations with a clear focus on talent, trust, and real-world deployment.

Embodied AI is moving from labs into homes and public spaces. As deployments accelerate, challenges in data collection, methodology, and governance are becoming urgent. This panel convenes leaders in robotics, policy, and AI research to examine how advances in hardware, simulation, and learning models are redefining humanoid intelligence and what standards and safeguards are needed for widescale adoption.

Artificial intelligence has spent years proving itself in the digital world — optimising algorithms, generating content, predicting behaviour. The next frontier is far more unforgiving: the physical one. FieldAI is building AI that operates where the stakes are highest — construction sites, manufacturing floors, data centres, and disaster zones — environments that are dull, dirty, and dangerous, where GPS fails, maps don't exist, and waiting for human instruction is not an option. In this fireside chat, Dr Shayegan Omidshafiei takes us inside the science and strategy of autonomous physical intelligence. With hundreds of mission deployments across three continents and backing from some of the world's most consequential investors, FieldAI offers a rare and compelling glimpse into what happens when AI stops talking and starts doing.

As AI systems grow more capable and more autonomous, the decisions being made today — by researchers, companies, and governments — will have consequences that are difficult to reverse. As one of the architects of modern AI, Prof Yoshua Bengio's assessment of where the technology is heading carries singular weight. Drawing on the 2026 International AI Safety Report and his research at LawZero, this fireside examines what it takes to build AI that is not only powerful, but trustworthy — a conversation for leaders who understand that getting this right is not optional.

Enterprise transformation no longer needs to take years. Agentic AI platforms are enabling organisations to redesign operations end-to-end through intelligent, autonomous agents that orchestrate change continuously. This panel explores how forward-thinking leaders are building AI-native enterprises, the competitive advantages they're gaining, and what it takes to make this shift successfully — from redefining what "AI-native" means, to measuring real business outcomes, to the use cases that are delivering results today.

Artificial intelligence is fundamentally transforming research and development, accelerating discovery timelines from years to months and uncovering insights impossible through traditional methods. From drug discovery to climate modelling, AI is enabling entirely new approaches to scientific inquiry. This session explores how leading institutions are leveraging AI to push the boundaries of innovation and what this paradigm shift means for the future of discovery.

We are no longer debating whether AI will reshape work — it already has. At Salesforce, AI agents autonomously resolve nearly 74% of customer support cases, a new breed of leader called the agent manager has emerged to orchestrate hybrid human-machine teams, and entire sales functions have been transformed overnight. Meanwhile, the world these organisations operate in is fracturing — geopolitical tensions, AI sovereignty battles, and the splintering of the global digital economy are forcing big tech firms to make increasingly consequential choices about where they build, who they hire, and how they deploy intelligence at scale. Against this backdrop, Salesforce’s Chief Futures Officer, Peter Schwartz returns to the Summit stage for a conversation that is equal parts strategic provocation and practical reckoning. What does leadership mean when your workforce includes machines? Which human capabilities become more valuable as AI takes on more execution? And for the next generation entering a volatile world, what is the right posture for learning and building a career that outlasts disruption?