Forecasting the Impacts of AI on Public Service

Objectives

This project harnesses the capabilities of generative artificial intelligence (gAI) to analyze its potential impacts on the United States federal government workforce. This forward-thinking project develops predictive analytics on the transformative effects of AI on employment patterns, skill requirements, and occupational resilience within government over the next five to ten years. By systematically evaluating job classification specifications across governments, we identify roles most at risk of AI-induced changes and those poised for growth or necessitating new skills. This focus serves a strategic purpose for governments at all levels: enabling them to preemptively adjust their workforce strategies to stay agile and effective in their missions. The ultimate goal is to empower stakeholders with insights for strategic workforce development, enabling a public service workforce that is resilient, adaptable, and equipped to leverage AI advancements for improved public service delivery.

AI and Future Work- Updated- 20240823.pptx
Resh, W., Gurbuz, G. N., & Ming, Y. 2024. "Complementarity, Vulnerability, and Replacement: Artificial Intelligence in the United States Federal Labor Market" presented at the Wharton School of Business's AI and the Future of Work conference (May 23-24, 2024)