TaskNet Understanding how AI is reshaping work requires an accurate account of the tasks workers perform. We introduce the Stanford Task Network (TaskNet), an occupational taxonomy grounded directly in workers’ accounts of their everyday work. Researchers: Jennifer Wang, Andreas Haupt, Isaac Robinson, Phil Lewis, Erik Brynjolfsson, Diyi Yang, Adam Gill, Luca Vendraminelli, Andrew Wang, Natania Wong project Digital platforms and society
TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale Authors: Jennifer Wang et al. publication Digital platforms and society
Introducing TaskNet: A New Taxonomy of Work Researchers: Isaac Robinson, Jennifer Wang, Andreas Haupt, Erik Brynjolfsson, Diyi Yang, Phil Lewis News Digital platforms and society Economics of transformative ai
Stanford AI experts predict what will happen in 2026 Researchers: Erik Brynjolfsson, James Landay, Diyi Yang News
AI Education and Training Researchers: Susan Athey, Diyi Yang, Erik Brynjolfsson project Economics of transformative ai
Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce Authors: Yijia Shao et al. publication Ai agents Economics of transformative ai