AI Cafe: Building the AI Agent Economy
AI Cafe: Building the AI Agent Economy
In the future, your most productive worker may be an AI agent operating on your behalf. It could find opportunities, collaborate with other agents, negotiate terms, complete tasks, and generate income while you remain focused elsewhere. This could create a world in which people are paid not only for their time, but for the capabilities, knowledge, and context their agents bring into the economy.
This conversation explores how agents could be rented, verified, trusted, and compensated. It will also ask how this new economy can be designed so that ownership does not concentrate only in platforms and large companies. What would it look like for individuals and communities to own their context, govern how it is used, and share in the value their agents create?
Agenda - AI Networking
8:45 - 9:30 am • Coffee and Socialize
9:30- 10:30 am • Talk and Presentation
July 16th, 2026
Jake Joyner
Jake is the founder and CEO of AILedger, a public benefit corporation that makes AI-driven decisions in high-risk industries like finance and healthcare substantively auditable.
He is also developing Lodestar, an open protocol designed to keep autonomous AI systems accountable and on the record. Jake is particularly passionate about collaborating with researchers and clinicians to bring this same rigor to the rare disease space, where every decision is critical to patient outcomes
🔗 Website
Gary Pearl
Gary is an award-winning producer, former top literary and talent agent, and technology founder whose work has earned Peabody and AFI honors and festival wins, as well as the Environmental Media Association’s first Green Award for advancing ecological sustainability on film and television sets.
His work across Hollywood, the Department of Defense, robotics, and medicine led him to found AITAPP and explore a future in which individuals own the AI agents, knowledge, and negotiating power that act on their behalf.
Stanley Bishop, aka Science Stanley, is just your friendly neighborhood AI scientist.
With a passion for machine learning and a drive to make a difference, Stanley has made significant contributions to the field of artificial intelligence. From designing multi-GPU deep learning clusters for natural language processing at Google to founding a startup studio in Venice Beach, Stanley's expertise and leadership have been instrumental in advancing the field of AI.
Currently, Stanley is affiliated with 'Research to the People,' a joint program between Stanford Genetics and Stanford Medicine, where he contributes his AI expertise and leadership to the program's practice of uniting a diverse set of collaborators to tackle unaddressed problems in rare genetic illness medicine and precision oncology. His research specialties revolve around "scientific foundation models," which are LLMs trained on natural data such as proteins, DNA, or chemicals.
As a rare disease patient himself, Stanley is deeply committed to using his skills and knowledge to improve patient care and advocate for patients' rights. He is a research mentor and architect for the AI-based Open chemistry project DeepChem, where he works closely with contributors and students to build open-source drug discovery tools and integrate next-generation multi-omic AI into clinical practice. Stanley's unique mix of experience in large-scale cloud-based HPC, bioinformatics, and scientific data operationalization has made him a valuable asset to a number of scientific computing projects.
🔗 LinkedIn | 🔗 Website
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