6 takeaways from government leaders on the future of AI in the public sector
Last month, I was fortunate enough to spent two days at the Bridges Conference 2026 by Starbridge in New York City, joining county and city leaders, clerks and govtech innovators to discuss one of the most consequential topics facing government today: making AI work for the public.
The night before the conference, a Granicus-hosted dinner brought together a group of leading CIOs for an honest conversation about emerging AI use cases, opportunities and challenges, and what the future of work might look like.
Over dinner and throughout the conference, one thing became clear, government leaders are moving beyond the hype and focusing on how AI can create real value for the communities they serve. Here are six themes that stood out most.
Government operates on a social contract with residents. People trust public institutions with sensitive information and depend on them to deliver critical services.
That makes trust a prerequisite for AI adoption.
Leaders repeatedly highlighted concerns around security, privacy, governance, and responsible use of citizen data. For many agencies, especially those handling highly sensitive information, moving too quickly can be riskier than moving slowly.
What’s interesting is that many leaders are beginning to view AI risk through a practical lens. The goal isn’t to eliminate risk entirely. The goal is to ensure that the future state creates less harm, fewer errors, and better outcomes than the current one.
AI adoption will ultimately depend on whether governments can demonstrate that it makes services better while maintaining public trust.
Another recurring theme was that AI is not a magic want that instantly fixes an agency’s challenges.
In fact, it tends to expose them.
Poor content, fragmented data, unclear processes, and inconsistent governance become even more visible once AI is introduced. Agencies that struggle with these fundamentals today will likely encounter the same challenges at greater scale tomorrow.
The most successful organizations recognize that preparation matters. They invest in their data, content, workflows, and people before deploying AI broadly.
Government leaders are under pressure to modernize while continuing to deliver essential services every day.
As a result, many agencies are gravitating toward a pragmatic approach to innovation.
Rather than replacing everything at once, they’re looking for ways to adapt and improve the systems they already have. They want solutions that reduce friction, improve efficiency, and deliver value without creating unnecessary disruption for residents or staff.
One speaker described the importance of taking a “minimally invasive” approach to innovation. That concept resonated throughout the conference.
The most sustainable transformation often comes from improving what works rather than starting over.
One of the most consistent messages came from leaders who emphasized that AI is not the goal.
The goal is to improve public outcomes.
Whether it’s helping residents access benefits, improving permitting processes, increasing engagement, or making government services easier to navigate, the focus should remain on the impact we want to create. AI is simply one tool that can help get us there.
The agencies making the most progress aren’t asking, “Where can we use AI?” They’re asking, “What problem are we trying to solve for our community?”
When resident outcomes become the north star, technology decisions become much clearer.
Another theme that stood out was the importance of listening.
Many governments acknowledge that they often hear from the same residents repeatedly, while large portions of the community remain unheard. Leaders are increasingly looking for ways to broaden participation and better understand the experiences of all residents.
The agencies making the most informed decisions are finding ways to continuously gather resident feedback, identify emerging needs, and understand how services are performing from the resident perspective.
Better engagement leads to better insights. Better insights lead to better decisions. And better decisions ultimately lead to better community outcomes for everyone.
While chatbots and conversational experiences generated plenty of discussion, the broader opportunity is much larger.
The most common use cases I heard about fell into two categories:
With many governments facing staffing shortages, retirements, and increasing service demands, AI will increasingly be important in helping employees focus on higher-value work while maintaining service levels.
The future of service delivery is not a single chatbot but rather, a connected ecosystem that helps governments better understand resident needs, improve service delivery, and empower public servants to do their best work.
My biggest takeaway from the conference was that government leaders are stepping up to find innovative ways to help their communities thrive. Whether discussing workforce challenges, resident engagement, digital service delivery, or emerging AI technologies, leaders consistently returned to the same question, how can we better serve every person in our community?
The answers may look different from one agency to the next, but the direction is clear. Governments are embracing innovation thoughtfully, balancing opportunity with responsibility, and looking for practical ways to create public value. It was invigorating to meet so many of these leaders doing great things for their community and I look forward to partnering with many of them on this next chapter.