![Blue cyclical arrows on a blue background](/sites/g/files/omnuum10826/files/styles/hwp_21_9__1920x825/public/2026-07/Next%20Level%20Responsiveness%20paper%20%285%29.png?itok=oA7nQZ7u) # Next Level Responsiveness How AI is Supercharging the Responsive City Cycle July 06, 2026 Christopher Swope [ Stephen Goldsmith ](/stephen-goldsmith) As trust in the federal government has cratered in recent years, U.S. mayors have taken some comfort in the knowledge that the public generally gives local governments much higher marks. However, new evidence suggests that the inability to respond effectively to local problems fuels polarization and erodes trust. These trends present local leaders with genuine opportunities for positive change. As the level of government closest to the people, cities are well-positioned to regain trust by more effectively understanding, anticipating, and responding to residents’ needs. In our 2022 Data-Smart City Solutions paper, I laid out a vision of the “Responsive City Cycle”—a framework for how local leaders can respond to residents’ needs by using digital tools to create feedback loops with residents that improve public services and build trust. Since then, in just a few years, the staggering pace of technological change and innovation in this space has supercharged what’s possible at every step of this cycle. In particular, artificial intelligence has given local leaders new and expanded tools to identify and act on the issues of greatest concern to residents, enrich public feedback, and tackle problems preemptively. Today, three drivers of responsiveness are changing rapidly: - New sources and uses of data: A rapid proliferation of data from sensors, cameras, smartphones, social media, polls, and surveys is vastly increasing the quantity and quality of data local leaders have at their fingertips. AI makes these data usable by reducing the time it takes to process and act on the information. Local leaders can now obtain real-time intelligence on which streets need snow plowing, which libraries have the greatest usage, or which park playgrounds require maintenance — reports that once took hours, days, or weeks to compile. With AI, city leaders do not need to wait for complaints about physical conditions or service levels; they can capture public feedback on everything from general satisfaction with their local government to niche ideas and opinions. - New uses of data by more people: The rise of generative and agentic AI enables new ways to interpret and use all this data through natural-language queries. That means city workers can anticipate and respond to problems and opportunities more quickly, automate workflows, and address issues that span multiple agencies. An expanded, easy-to-use set of AI tools also empowers managers and frontline staff to surface insights that once required skilled data analysts. Democratizing analytical capabilities throughout the organization in this way enables local governments to be more proactive about addressing issues before they turn into calls to 311 or 911. - New ways to create and close feedback loops: The interactive nature of these tools unlocks new ways for local leaders and residents to communicate and co-create. Community groups empowered with AI tools, open datasets, and visualization tools can offer more productive feedback and shift from a posture of complaining to one oriented toward problem-solving. This paper explores these new frontiers of responsiveness. We will start with a review of the Responsive City Cycle — the fundamentals have not changed, but AI is supercharging nearly every step. Then we will explore different ways that advances in AI and other tools enable local leaders to take responsiveness to the next level. [**Download and continue reading Next Level Responsiveness here**](https://datasmart.hks.harvard.edu/sites/g/files/omnuum10826/files/2026-07/Next%20Level%20Responsiveness%207.6.26.pdf)**.** ## About the Author ### Stephen Goldsmith ![Headshot of Stephen Goldsmith](/sites/g/files/omnuum10826/files/styles/hwp_1_1__100x100_scale/public/datasmart/files/goldsmith_headshot_2018.jpg?itok=_stVEJro) Stephen Goldsmith is the Derek Bok Professor of the Practice of Urban Policy at the Harvard Kennedy School and the director of Data-Smart City Solutions at the Bloomberg Center for Cities at Harvard University. He previously served as the mayor of Indianapolis and deputy major of New York City. [Read Professor Goldsmith's full bio here](/stephen-goldsmith). --- ## About the Author ### Christopher Swope ![Headshot of Christopher Swope](/sites/g/files/omnuum10826/files/styles/hwp_1_1__100x100_scale/public/2025-08/Swope%20headshot%20%282%29.jpg?itok=1A5sXZqw) Christopher Swope is a writer, editor, and strategic communicator with expertise in city innovation and leadership. He has more than 25 years of journalism experience at NPR, Governing Magazine, and the Citiscope news service focused on urban innovation, and has led wide-ranging storytelling initiatives for Bloomberg Philanthropies and the Pew Charitable Trusts. See also:- [ Artificial Intelligence ](/topics/artificial-intelligence) - [ City Administration ](/topics/city-administration) - [ Civic Data ](/topics/civic-data) - [ Civic Engagement ](/topics/civic-engagement) - [ Equity ](/topics/equity) - [ Innovation ](/topics/innovation) - [ Open Data ](/topics/open-data) - [ Operations ](/topics/operations) - [ Performance Measurement ](/topics/performance-measurement) Share on:- [ Facebook ](#) - [ Twitter ](#) - [ Linkedin ](#)