Data-Smart City Pod: "Rethinking Government in 2026"

Date: December 17, 2025
Host: Steve Goldsmith (Professor at Bloomberg Center for Cities, Director of Data-Smart City Solutions)
Guest: Betsy Gardner (Senior Editor & Podcast Producer)

Episode Overview

In this year-end episode, Steve Goldsmith and Betsy Gardner reflect on 2025's key trends at the intersection of data, technology, and local government innovation. The discussion explores the evolution and integration of generative AI (GenAI) in city halls, strategies for building public trust, and how digital tools can transform government operations. Goldsmith shares personal insights as both a former mayor and policy innovator, while Gardner steers the conversation through practical questions, recommendations, and a quick-fire "lightning round" looking ahead to 2026.

Key Discussion Points & Insights

1. Advancements in Data-Driven Decision Making in City Governance

• Main Point: The pervasive use of data to drive city decisions has become much more widespread and ingrained globally, accelerating evidence-based policy.
  • Quote:
    “There's a widespread understanding that you need evidence and you need data to make decisions... that attitude is much more ingrained and much more pervasive in city halls across the world.”
    — Steve Goldsmith [01:28]

2. Generative AI’s Transformational Potential for Governments

• Historical Context: Goldsmith compares current AI adoption to previous digital transformations, like e-government initiatives and early data analytics centers.
• Opportunities of GenAI:
  • Empowers both community members and city staff to access and use data via natural language.
  • Moves from treating digital as a ‘parallel’ to making it foundational.
  • Quote:
    “The ability to empower workers and communities with generative AI is, I would say, even acknowledging the problems it may present, breathtaking.”
    — Steve Goldsmith [03:39]

3. Practical Approach to Implementing GenAI in Local Government

• Problem-first Approach: Instead of leading with ‘tech training’, start by identifying pressing challenges, then apply AI as a tool to address them.
  • Example: Tackling recurring potholes or social service bottlenecks using GenAI to analyze data for root causes and solutions.
  • Quote:
    “I don't think I would do generative AI training. What I would do is identify problems that if we applied generative AI to the data, would solve the problem...Then I would train that person on how to use generative AI for better and more success.”
    — Steve Goldsmith [04:38]

4. Restoring Trust in Public Institutions Through Data & Responsiveness

• Challenges Noted: Trust in government is declining, especially nationally, but remains higher at local levels.
• Solution Pathways:
  • Use digital tools for more meaningful community listening (sentiment mining, social media, digital forums).
  • Establish a feedback cycle—listen, prioritize, diagnose with data, solve, and communicate results—to steadily rebuild trust.
  • Quote:
    “It's a virtuous cycle. Right. You listen better, you listen more comprehensively, you react quicker, you react with a way that allows you to use the data to preempt and solve a problem...you build up little buckets of trust.”
    — Steve Goldsmith [08:23]

5. The Symbiosis of Community Context and City Data

• Insight: Municipal staff have data without community context, while residents have context but minimal data access. Merging these creates better solutions.
  • Quote:
    “The city officials have lots of data and very little context. And the community has a lot of context and very little access to the data. And put them together, we should have a better solution.”
    — Steve Goldsmith [10:01]

Lightning Round Highlights (Rapid-Fire Q&A, 10:11–16:07)

• Most Enjoyed Learning About in 2025:
  Goldsmith: “Learning about generative AI...understanding how it could change so dramatically.” [10:25]

• 2025 in One Phrase:
  “Difficult challenges, too much anger. But great promise because of what we could do.” [11:01]

• Recommended Book:
  “Recoding America: Why Government’s Failing in a Digital Age” by Jennifer Pahlka. [11:30]

• Exciting Projects at Data-Smart City Solutions:

  • Generative AI for Community Engagement: With Knight Foundation, focusing on responsiveness to build trust.
  • Hyperlocal Environmental Health Data: Using data to address children's health issues caused by local environmental factors.
  • “How does responsiveness produce trust?...How can they identify causes of chronic asthma or other issues...now we have the data.” [12:21]

• Who to Follow in Civic Innovation:

  • Bill Eggers (Deloitte)
  • Mitch Weiss (Harvard Business School)
  • Cornell Tech Digital Fellows (NYC)
  • MIT Sensible City Lab [13:17]

• 2025’s Biggest Surprise:
  Despite dynamic change, cities are still in a reactive mode, not yet harnessing conditions for bold innovation. [14:11]

• Hopes for 2026:
  Full incorporation—not superficial use—of digital tools into city operations; empowering employees; changing legacy processes; making government intervention data-driven and effective.

  • Quote:
    “We can't have this generative AI be like this cute little thing that we do at night to find out what movie to watch. It has to be incorporated in the processes of government...”
    — Steve Goldsmith [15:28]

Notable Quotes & Memorable Moments

• On Digital Transformation in Government:
  “It was a mistake…there was government and there was E government. It should have been thinking about digital changes in the way government works.”
  — Steve Goldsmith [02:43]

• On the Importance of Flexibility:
  “Government has to spend more on training. It never does spend much on training. It needs to liberate its employees. It needs to give them the tools, and it needs to use the evidence to work better.”
  — Steve Goldsmith [15:33]

• On Why Residents’ Input Matters:
  “Residents, they know the problem and they have a sense of the solution. It's just kind of like, how do you get that in?”
  — Betsy Gardner [09:38]

Key Timestamps

• Use of Evidence & Data in Cities: [01:28]
• GenAI’s Potential and History of Digital in Government: [02:16–04:08]
• Problem-First Approach to Tech Implementation: [04:38–07:15]
• Trust and Resident Engagement: [07:49–09:38]
• Community Data + Context Merge: [10:01]
• Lightning Round (Rapid-Fire Insights): [10:11–16:07]
  • Learning about GenAI: [10:25]
  • Book recommendation: [11:30]
  • Innovative projects: [11:54]
  • Who to follow: [13:17]
  • Biggest surprise and hopes for 2026: [14:11–16:07]

Takeaways for 2026 and Beyond

• City governments are at an inflection point—tools are more powerful than ever, but full integration and a shift from legacy thinking are required for transformation.
• Generative AI, if used thoughtfully (not as a mere add-on), can radically improve employee empowerment, problem-solving, and resident engagement.
• Building trust demands a two-way, data-informed relationship between city halls and the communities they serve.
• Sustained innovation will rely on equipping employees, listening to residents, and reimagining “business as usual” in local governance.