More than 200 academic teams from 156 universities around the world participated in Stanford HAI and Google DeepMind’s “AI for Organizations Grand Challenge,” a global competition focused on studying how artificial intelligence will reshape teamwork, leadership, and collaboration in workplaces. The initiative invited researchers to develop new ideas on how AI can improve coordination and collective intelligence inside organizations.
The winning proposal came from researchers at the Stanford Graduate School of Business, who introduced the concept of a “large coordination model.” Their project aims to analyze patterns in emails, meetings, and collaborative workflows to better understand what makes teams successful. As part of the prize, the researchers will work directly with Google DeepMind to test their ideas in real organizational environments.
Several finalist teams also explored how AI could strengthen human collaboration rather than replace workers. Proposed projects included systems that help organizations identify valuable ideas generated by AI, tools for measuring collective intelligence within teams, and AI-driven methods for discovering hidden expertise across companies. Researchers from institutions including Carnegie Mellon University, University of California, Berkeley, and Northwestern University were among the finalists.
The competition reflects growing global interest in understanding AI’s long-term impact on work and organizational structures. Stanford HAI also announced the launch of a new AI and Organizations Lab aimed at promoting human-centered workplace transformation. Experts involved in the initiative say the future of AI will depend not only on technological capability, but also on how effectively organizations adapt collaboration, management, and decision-making models to coexist with intelligent systems.
