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In our end-of-year episode, host Stephen Goldsmith reflect on 2025's most promising advancements in local government and shares his vision for how cities can harness generative AI to drive real change. Goldsmith discusses why a problem-first approach to AI implementation matters, how cities can rebuild public trust through better community listening, and why government processes must fundamentally transform—not just be overlaid with new technology. Drawing on decades of experience, he explains how bridging the gap between data-rich officials and context-rich residents creates opportunities for meaningful, co-created solutions.

Episodes mentioned: City Leadership in the AI Era with Rochelle Haynes and Carrie Bishop; Generative AI and the Possibility Government with Mitch Weiss; and Recoding America Author Interview with Jennifer Pahlka.

Music credit: Summer-Man by Ketsa

About Data-Smart City Solutions

Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter.