Every is turning the anxiety around automation into a conference proposition: AI may take more tasks, but it will not necessarily take away the most valuable human work. Its newly announced Thesis: 2027 will test that argument in Brooklyn next November.

The event is scheduled for Thursday, November 5, 2026, at Pioneer Works in Red Hook, Brooklyn. Every describes Thesis as its first annual conference, designed to bring together frontier-lab leaders, tool builders and company operators around one question: “What does great human work look like after automation?”¹

The timing is deliberate. Every’s announcement acknowledges the prevailing fears around AI — lost jobs, weakened thinking and data theft — but sets out a competing view: a smaller, dispersed group is using the technology to pursue “more ambitious, more creative, and more interesting human work.”¹ The conference is meant to put those practitioners in the same room rather than leave the future-of-work discussion to abstractions.

By the event date, Every expects AI to handle more execution while people concentrate on judgment, creativity and what comes next. “AI progress creates more work for humans, not less,” the conference page argues.² That is the central thesis — and also the point most open to challenge.

Organizers say roughly 400 founders, executives and builders will attend a day-and-night program featuring keynotes, debates, workshops, office hours and small-group sessions. The announced speaker list includes Notion’s Ivan Zhao, OpenAI’s Andrew Ambrosino, Anthropic’s Cat de Jong, The Atlantic’s Nicholas Thompson, The Browser Company’s Josh Miller and Runway’s Cristóbal Valenzuela.²

The event is application-based, with payments requested after acceptance; a free livestream is planned for those unable to attend in person. While its framing is explicitly optimistic, Every says “informed skeptics” who use AI and question where it belongs are welcome — ensuring the conference’s headline claim will face at least some scrutiny.²