Learning Curves Format: ED

AI's impact on education, workforce development, and global labor markets

Learning Curves: Rethinking Education from Classrooms to Careers in an AI-driven World is the second book in the Microsoft AI Economy Institute series. Authored by Juan M. Lavista Ferres, Frank Nagle, and a distinguished group of international contributors, including globally recognized scholars and industry experts, this volume examines how generative AI is reshaping education systems, labor markets, and workforce development across sectors and geographies worldwide.

The book examines AI's effects on K-12 teaching, community colleges, technical and vocational institutions, and entry-level employment. It investigates the barriers to AI adoption, whether they are technical, institutional, regulatory, economic, or cultural, and explores global differences in AI diffusion. Contributors offer research-backed insights for policymakers, educators, employers, and workers navigating the transition to an AI-driven economy.

Readers will find:

• Analysis of how generative AI tools are changing experiences for both educators and students across institutional settings
• Research on AI's impact on entry-level jobs and evolving employer expectations for workforce readiness and skills
• Examination of barriers to equitable AI adoption, including technical, regulatory, economic, and cultural factors worldwide
• Insights drawn from the Microsoft AI Economy Institute's structured collaboration between leading scholars and industry practitioners
• Global-scale analysis of AI diffusion differences and their implications for education systems and labor markets

Written for policymakers, educators, institutional leaders, and students as well as decision-makers and investors, this book delivers research-grounded analysis of how generative AI is transforming education and workforce development. With 86% of students already using AI in their studies and 1 in 5 Americans using AI at work, it addresses questions that demand immediate attention.

JUAN M. LAVISTA FERRES is Microsoft’s Chief Data Scientist and Corporate Vice President, serving as Lab Director of Microsoft’s AI for Good Lab and Director of the AI Economy Institute.

FRANK NAGLE is Microsoft’s Chief AI Economist, based in the AI Economy Institute within Microsoft’s AI for Good Lab. He is also a research scientist at the Initiative on the Digital Economy at MIT.

Featuring Additional Distinguished Authors: Bashar Alhafni, Pierre-Alexandre Balland, Paul Bigby, Carolina Calvo Asencio, Bharat Chandar, Yung Chun, Somalis Chy, Jerik Cruz, Antonio Delgado, Wendy DuBow, Laura M. Evans, S. Kiersten Ferguson, Carla Z. Glave, Nizar Habash, Peng He, Manuel Hoffmann, Nicole Immorlica, Stephen Michael Impink, Jason Jabbari, Ekaterina Kochmar, Tingting Li, Carolina Lopez, Fengchun Miao, Milan Miric, Ezequiel Molina, Laura Nurski, Joseph Onderi Orero, Sarah L. Rodriguez, Amy Rubinson, Malle Schilling, Catherine Schwarz, Robert Seamans, Andrew Stokols, Sarayu Sundar, Arun Sundararajan, Inbal Talgam-Cohen, Hung Vo, Catherine Wu, Román Andrés Zárate, Xin Zhao (Skye).