Conference Theme: The Reality Test

AI has redrawn the boundaries of what is possible.
The reality test begins when those possibilities collide with the complexities of the real world.

Which breakthroughs will translate into real-world capability? How much should AI be allowed to decide? Where will it create real economic value? And most importantly, what changes when AI becomes part of how we work, compete, and live?

This year’s program follows those questions from the frontier into practice: what comes next, how to judge emerging capabilities, how organizations move from models to working systems, where business models begin to shift, and which ripple effects deserve attention before they become obvious.

Test the claims. Follow the evidence. Understand what follows.

The overview below is subject to change. A detailed agenda will be published as sessions and speakers are confirmed.

Tuesday, May 11

The Reality Test

We open with the biggest questions shaping AI’s next phase, explored with the leaders closest to the frontier.

The Reality Test

AI has passed the possibility test. Now comes the reality test. This opening chapter looks at where AI is headed, which promises are holding up, and what questions leaders need to ask as it moves deeper into business and society.

Wednesday, May 12

Into the Real World

We follow the next wave of AI capability and what happens as the latest advances move out of the lab and into practice.

The Advancing Frontier

AI’s next wave is already taking shape. We look at the advances pushing intelligence forward, from systems that model the world and accelerate discovery to the computing infrastructure making new capabilities possible.

Testing Intelligence

AI can ace a benchmark and still stumble in the real world. We examine how intelligence is measured, why capability remains uneven, and what separates impressive performance from intelligence we can actually depend on.

From Model to System

Moving from pilots to production requires redesigned work, supporting systems, and the operating discipline to keep AI running reliably at scale.

When AI Acts

Once AI can act on our behalf, the stakes rise quickly. When we delegate authority, agents become actors on the web, raising new questions about autonomy, oversight, and security.

Thursday, May 13

Impact and Consequence

We close by examining where AI is changing the economics of business and what those shifts mean for organizations, markets, and society.

When the Economics Change

AI is changing not only how work gets done but how value is priced, sold, and captured. As expertise takes less time, software shifts toward outcomes, and individualized selling becomes cheaper, established business models begin to move.

The Consequences That Follow

As AI becomes more deeply embedded in business and society, its effects spread beyond the systems themselves. The consequences show up in accountability, careers, competition, and control, but some changes may take years to surface.