Better data on education program costs, helping people live closer to centers of economic activity, and how AI will affect the workforce.
July 3, 2023 Editor’s note: The Brookings Brief will be on a short hiatus during the Fourth of July holiday in the United States. Look out for the next edition on July 5. | Building for proximity: The role of activity centers in reducing total miles traveled In theory, helping Americans live closer to centers of economic activity would reduce their dependence on cars, lower emissions, create safer streets, and unlock financial savings. To put this theory to the test, Adie Tomer and Caroline George look at real-world data and estimate the travel patterns of residents in the 110 largest U.S. metro areas. | How will AI change work? The rise of generative artificial intelligence (AI) has led to predictions of a significant AI-powered productivity boom. Bhaskar Chakravorti examines these predictions and offers some lessons to keep in mind from past technological revolutions. | Overcoming the obstacles to quality cost data for education programs Every year, an estimated $5 trillion is spent on education around the globe. However, the lack of quality cost data leaves decisionmakers in the dark as they determine how to implement, change, reduce, or scale education programs. Elyse Painter and Emily Gustafsson-Wright discuss the challenge and share a new tool to help address it. | The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars. | |