 |
Special BriefingAuthor: Volcker Alliance & Penn IUR
Brought to you by the Volcker Alliance and the University of Pennsylvania Institute for Urban Research, Special Briefing examines the fiscal conditions of cities, counties, and states since the arrival of COVID-19 and how theyre impacted by decisions from Washington. We bring federal, state, and local government leaders together with prominent researchers, economists, and investors to reflect on todays most salient and critical public finance issues. Be sure to subscribe to Special Briefing to stay up to date on the world of public finance. Learn more about the Volcker Alliance at: volckeralliance.org Learn more about Penn IUR at: penniur.upenn.edu Connect with us @VolckerAlliance and @PennIUR on Twitter, Facebook and LinkedIn Special Briefing is published by the Volcker Alliance, as part of its Public Finance initiatives, and Penn IUR. The views expressed on this podcast are those of the panelists and do not necessarily reflect the position of the Volcker Alliance or Penn IUR. Special Briefing is made possible by funding from The Century Foundation, the Volcker Alliance, and members of the Penn IUR Advisory Board. Language: en-us Genres: Business, Government, Investing Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
Listen Now...
Special Briefing: AI in Government—More Efficiency but Fewer Workers?
Episode 63
Friday, 28 November, 2025
The launch of ChatGPT in 2022 sparked an “AI arms race” with trillions of dollars in investment and profound implications for productivity and employment. For a discussion of how generative AI and related technologies are reshaping public sector operations, workforce needs, and infrastructure planning, Penn IUR and the Volcker Alliance convened a panel of government, academic, and industry experts for “Special Briefing on AI in Government—More Efficiency but Fewer Workers” on November 20, 2025. William Glasgall, Penn IUR Fellow and Volcker Alliance Public Finance Adviser, Susan Wachter, Co- Director of Penn IUR and Wharton professor, and our expert panel discuss the state of America’s infrastructure and how some states are developing strategies to better identify and fund needed investments. Panelists include: • Jon Hartley, Policy Fellow, Hoover Institution • Leigh Palmer, Vice President, Google Public Sector LLC • Megan Kilgore, City Auditor, City of Columbus, Ohio • Howard Neukrug, Executive Director, The Water Center at Penn and Professor of Practice, Department of Earth and Environmental Science, University of Pennsylvania • Thomas Sanchez, Professor, Landscape Architecture and Urban Planning, Texas A&M University NOTABLE QUOTES Hartley: “As of the end of September, about 37 percent of American workers claim to be using generative AI at work.” Hartley: “I think it's still a TBD in terms of what the overall labor market impact is going to be, but I think we're just in some of the early innings of what's a much longer baseball game.” Palmer: “We're just at the tip of the iceberg on the potential for this technology.” Kilgore: “We need more GOATs—not sheep. People who are curious, courageous, and willing to climb into unfamiliar terrain as technology reshapes how we’re constantly working and ultimately serving the public.” Kilgore: “We need to view building human infrastructure as well as investing in forward-thinking AI technology as on the same level of vitality as investing in that traditional form of hard infrastructure… Equally as important, governments have to start investing in the skills necessary to allow our public sector leaders and our workers here to really use those tools well: data literacy, ethical reasoning, and creative problem solving. I do believe AI will absolutely redefine public service.” Neukrug: “AI-powered digital twins can simulate entire water networks, helping planners test technologies virtually before real-world deployment, saving time and resources.” Hartley: “Conditional on using generative AI to complete a task, roughly two-thirds of the time that would traditionally be dedicated to that task is saved."
