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As the National Association of Counties launches a six-week AI training pilot for local government leaders, the real test isn't the curriculum. It's whether rural and under-resourced counties can keep pace.
If you've ever waited on hold with your county clerk's office, or sat in a crowded DMV line wondering why everything takes so long, you already understand the stakes of this story. County governments run the services that touch daily life most directly: permits, courts, public health clinics, roads, elections. And increasingly, the people running those services are being asked to figure out artificial intelligence on the fly.
The National Association of Counties, known as NACo, announced a new program on August 9 meant to address exactly that gap. Called the NACo Artificial Intelligence Leadership Academy, it's a six-week online pilot course built to give frontline county officials practical tools for understanding and deploying AI. Think of it less like a technical bootcamp and more like a crash course in decision-making: how do you weigh the benefits of automation against its risks when you're the one accountable to residents?
"We are pleased to offer this new resource for counties," said NACo Chief Information Officer Rita Reynolds in the announcement. "As counties aim to deploy AI across a wide range of functions, the academy will provide insightful training to keep us on the cutting edge of public service."
That phrase, "cutting edge," is doing a lot of work. Many counties, particularly small and rural ones, are nowhere near the cutting edge of anything technological. They're often running on legacy software, stretched IT budgets, and staff who wear five hats because there's no money for five separate employees. An AI leadership academy is a reasonable first step. But it's worth asking what happens after the six weeks end.
The course was built jointly by NACo and the Professional Development Academy, a leadership training organization. According to NACo, it draws on perspectives from public sector leaders, industry executives, university researchers, and other subject matter experts. The stated goal is to help officials understand AI's capabilities, mitigate its risks, and navigate what NACo describes as an "evolving landscape."
That framing matters. AI in government isn't one thing. It can mean a chatbot that answers basic questions about property taxes. It can mean software that flags potential fraud in benefits applications. It can mean algorithms used in criminal justice risk assessments, a use case that has drawn serious scrutiny from civil rights groups over bias and accountability. Lumping all of this under one training umbrella is efficient, but it also risks flattening some very different ethical and operational questions into a single six-week conversation.
Reynolds framed the academy's value in forward-looking terms. "We look forward to equipping county leaders with practical approaches and factors to consider when leveraging AI to achieve county priorities," she said. "With this knowledge, counties will be better prepared to serve residents today and into the future."

That's a reasonable ambition. The academy joins two other NACo-PDA partnerships already in place: the High Performance Leadership Academy and the Enterprise Cybersecurity Leadership Academy. The pairing with cybersecurity training is notable. AI systems in government settings often depend on sensitive resident data, from health records to criminal histories, and any rollout that doesn't also strengthen security practices is building on a shaky foundation.
For workers inside these county systems, the implications are not abstract. Automation in the private sector has already reshaped jobs in customer service, data entry, and logistics. Public sector automation tends to move more slowly, partly because of procurement rules and partly because of union protections and civil service structures. But slower doesn't mean absent. Caseworkers, clerks, and permit reviewers are reasonable candidates for AI-assisted or AI-replaced workflows in the coming years. Training leadership to understand these tools is necessary. It is not sufficient on its own to protect the workers whose roles may shift or shrink as a result.
There's also the question of equity between counties themselves. A well-funded suburban county with a dedicated IT department will likely get more out of a leadership academy than a rural county with one overworked administrator covering emergency management, payroll, and now, apparently, artificial intelligence strategy. NACo's own advocacy work elsewhere acknowledges this tension. The organization has pushed back against one-size-fits-all broadband regulations, arguing that counties are partners in closing the digital divide rather than obstacles to it. The same logic applies here: a national training pilot is a good start, but AI readiness will look very different in a county of twelve thousand people than in one of two million.
None of this is a reason to dismiss the academy. Giving public officials structured, expert-informed exposure to AI's risks and capabilities is better than leaving them to learn through costly trial and error, or worse, through vendor sales pitches with no independent counterweight. The involvement of university researchers and subject matter experts, rather than just industry representatives, suggests an attempt at balance. That's worth acknowledging.
The deeper issue is sequencing. Leadership training is a logical early step, but it cannot substitute for clear public policy on transparency, data privacy, and worker protections as AI tools move from pilot programs into daily operations. Residents deserve to know when an algorithm, not a person, is making decisions about their benefits eligibility or their interaction with local courts. County workers deserve clarity about how these tools will affect their jobs, not just their job descriptions.
NACo's pilot academy is a small, specific intervention: six weeks, one curriculum, a handful of partner organizations. But it sits at the center of a much larger question that every level of government in the country is quietly wrestling with. Technology is moving into public service whether officials feel ready or not. The real measure of success won't be how many county leaders complete the course. It will be whether the communities those leaders serve, especially the ones with the fewest resources, end up better off for it.
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National Association of Counties Pilots Artificial Intelligence Leadership Academy
↗ https://www.naco.org/news/national-association-counties-pilots-artificial-intelligence-leadership-academy
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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2 October 2026
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