The protocol race is over faster than anyone expected. Visa, Google, Mastercard, OpenAI, Stripe and Ant International have all shipped agent-initiated payment infrastructure, while countries such as Korea alone recorded over 100 million AI-to-AI payments in seven months. This discussion will be around where machine will transact first, at what granularity, and on whose stack.

That question does not have a global answer, because agentic commerce is gated by four preconditions that are unevenly distributed or agreed upon.

Identity: can an agent be issued a provable, scoped, revocable mandate.

Acceptance density: is there enough merchant coverage for an agent's choice to be meaningful.

Settlement granularity: can value move at machine speed and sub-cent size.

Customer trust and value: will people actually delegate? Does the result make everyday finance simpler, more transparent and more accessible, including for customers that conventional banking has overlooked?

The first three are being solved on the rails; the fourth is decided in the customer relationship. This panel puts both views on one stage: the platforms building agentic infrastructure, and a digital bank that rebuilt banking around customer needs. Together they map the next eighteen months by looking look at where AI creates practical customer value first and how institutions should balance automation with human judgment and accountability.

History shows how breakthrough scientific discoveries can reshape the world. From Edgar F. Codd’s relational databases and Tim Berners-Lee’s World Wide Web to Mark Weiser’s vision of ubiquitous computing, pioneering technology research has transformed industries, economies and everyday life. Today, Artificial Intelligence presents a similarly transformative opportunity. A new generation of scientist-entrepreneurs in AI has the potential to translate frontier research into breakthrough technologies, products and ventures that redefine industries and address humanity’s greatest challenges. Their journey is not simply about commercialising discoveries, but about turning bold scientific ideas (developed through years of research) into innovations driving deep tech enterprises. The challenge is to create a sustainable pathway for academic innovations and scientist entrepreneurs to cross the bridge from science to enterprise seamlessly.

Payments are becoming faster and cheaper, but where will the industry make money next? This panel looks at where new revenue pools are emerging across the payments value chain — from data and embedded services to cross-border flows and new forms of money — and which business models can capture them from 2027 onwards.