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

Set the stage for the next phase of AI by separating promise from proof and identifying what matters most now.

The Reality Test

AI has passed the possibility test. Now comes the reality test. We open with a big-picture look at where AI is headed, which promises are holding up, and the questions leaders need to ask to understand impact as the technology moves deeper into business and society.

Wednesday, May 12

Into the Real World

Look ahead to the next wave of AI capability and examine what happens as those advances move into real-world systems.

The Advancing Frontier

AI’s next wave is already taking shape. We look at the advances pushing beyond today’s models, from systems that reason and model the world to tools that accelerate discovery and enable entirely new products, identifying the capabilities most likely to matter next.

Testing Intelligence

As AI takes on more consequential work, understanding what these systems are truly capable of becomes critical. We examine the limits of reasoning, the trajectory of scaling, and the possibility of AI systems that can help drive their own advancement.

From Model to System

The business test of AI begins when it has to survive contact with operational realities. We examine what it takes to move from pilots to production, redesign work around new capabilities, and build AI systems that can operate reliably in the real world.

When AI Acts

Once AI can take action on our behalf, the stakes rise quickly. We examine how much autonomy to hand over, what happens when agents become actors on the web, how new security risks emerge, and whether human oversight can keep pace.

Thursday, May 13

Impact and Consequence

Examine where AI is changing the economics of business and what those shifts mean for organizations, markets, and society.

When Language Models Change Business Models

AI is starting to change the economics of how companies create and capture value. We examine where costs fall, how new revenue becomes possible, and when those shifts begin to reshape established business models across professional services, drug discovery, customer service, marketing, and sales.

The Consequences That Follow

As AI becomes more deeply embedded in business and society, its effects spread far beyond the systems themselves. We examine the implications for accountability, careers, competition, control, policy, and geopolitics, and look beyond the obvious to the consequences that may take longer to see.