Every exponential in history has reorganized the system it entered—and the thing that becomes scarce is never what the curve predicted. This time, it's the capacity to know whether any of the abundant, coherent, AI-generated output is actually true.
We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. To truly grasp this transformation, our approach is rooted in engaging with core concepts such as critical thinking, logical analysis, and the scrutiny of underlying assumptions, principles that are essential in the realm of philosophical inquiry.
Every exponential in history has reorganized the system it entered—and the thing that becomes scarce is never what the curve predicted. This time, it's the capacity to know whether any of the abundant, coherent, AI-generated output is actually true.
If you've been watching the video series, here are five short pieces that lay out the economics. I should say clearly that I'm not an economist. I've spent a decade studying how people work with AI, and along the way I've had to teach myself the economics underneath it—the most helpful are here.
The theme of the Artificiality Summit 2026 is Unknowing. We start with five speakers—David Wolpert, Caleb Scharf, Wakanyi Macharia-Hoffman, Gašper Beguš, and Nina Beguš—whose work converges on a single finding: the uncertainty surrounding AI is permanent, not a phase.
Jack Dorsey laid off 4,000 people and called it an AI strategy. But when AI creates time, the interesting question isn't whether to cut—it's what you choose to do with the time you've freed. Dorsey chose to give it away.
AI changes what you can know, which changes what feels meaningful to you. If consciousness is the subjective experience of meaning-making in action, then AI absolutely changes consciousness.
