Data management, infrastructure management, and cybersecurity are rapidly emerging as the top applications for artificial intelligence in urban centers across the globe, according to a comprehensive new benchmark report released by ThoughtLab.

Based on a global survey conducted in July and August 2026, the findings shed light on how local governments are navigating the complex transition from experimental artificial intelligence pilots to full-scale operational deployment. While municipal leaders increasingly view artificial intelligence as a vital tool to reinvent how government processes function, how public services are delivered, and how cities anticipate and respond to the evolving needs of residents, the journey is fraught with systemic hurdles ranging from budgetary uncertainties to deep-seated public skepticism.

ThoughtLab benchmarked artificial intelligence leadership among cities based on a rigorous set of best-practice pillars. These core criteria included designing artificial intelligence around human-centered needs, strengthening cybersecurity and governance frameworks, and intentionally developing artificial intelligence-ready data ecosystems and skilled municipal workforces. Among the cities singled out for their proactive and mature approach to artificial intelligence adoption is San Jose, California, which stands alongside a select group of U.S. municipalities recognized as leaders in the space.

Transitioning From Pilots to Execution

The research indicates that most surveyed cities are actively moving past the exploratory phase of artificial intelligence testing and entering the execution stage. Nearly 60% of survey respondents reported that their city had established a dedicated artificial intelligence lead to oversee implementation, while 45% noted the creation of a formal citywide artificial intelligence governance body.

Despite these structural advancements, the path to seamless integration remains uneven. Only 27% of respondents stated that their municipality currently possesses an integrated, citywide artificial intelligence strategy. Experts emphasize that foundational operational hygiene must precede advanced technological deployment.

"You need the foundation, plumbing, and electricity in place, along with accountability, before you adopt artificial intelligence," Memphis Chief Information Officer Eric Keane told ThoughtLab during the research process.

The logistical challenges of scaling these technologies are substantial. More than 75% of survey respondents cited siloed data as a primary obstacle to effective adoption, while 68% noted that the absence of a clear artificial intelligence roadmap makes it difficult to scale initiatives across different municipal departments. Without unified data pipelines and clear strategic direction, cities risk creating fragmented solutions that fail to deliver enterprise-wide value.

Navigating Barriers: Cost, Talent, and Trust

Even as enthusiasm for municipal artificial intelligence grows, local governments face formidable barriers that threaten to slow adoption rates. Financial constraints and human capital shortages top the list of concerns for city administrators.

Nearly 85% of survey respondents cited long-term or unexpected costs as a top barrier to artificial intelligence adoption. Maintaining complex software, securing continuous cloud infrastructure, and managing lifecycle updates require sustained financial commitments that can strain municipal budgets. Furthermore, 82% of respondents pointed to limited artificial intelligence skills and talent within the public sector as a significant impediment. Competing with the private sector for top-tier technology talent remains an ongoing struggle for city halls striving to modernize their workforces.

Beyond technical and financial hurdles, public perception and acceptance represent critical hurdles for municipal leaders. Public trust in automated and algorithmic decision-making was cited as a major barrier to adoption by 69% of survey respondents. Citizens are increasingly vocal about data privacy, algorithmic bias, and the potential erosion of human accountability in public administration.

To counteract these concerns, leading municipalities are taking proactive steps to build public confidence through transparency and robust policy frameworks. The report highlights San Antonio, Texas, as a prime example of a city taking deliberate measures to build public trust by establishing clear goals and usage policies.

"Artificial intelligence surfaces information; city staff make decisions," Geoffrey Urbach, product and partnerships lead for emerging technology in San Antonio, told ThoughtLab. Urbach underscored the delicacy of public sentiment, warning that administrative missteps can have lasting consequences for municipal credibility. "Leaders who treat these concerns as a communication challenge rather than a governance issue will erode the trust they’re trying to build."

Prioritizing Human-Centered Design and Social Equity

Cities identified as artificial intelligence leaders by ThoughtLab share common characteristics: they prioritize human-centered design, invest in comprehensive staff training, and maintain a high degree of transparency regarding how automated tools are deployed. Rather than replacing human oversight, successful municipal implementations use technology to augment the capabilities of civil servants.

Lou Celi, CEO of ThoughtLab, emphasized the broader societal implications of these technological shifts in a news release accompanying the survey findings.

"City leaders see artificial intelligence as a way to reinvent how government processes work, how services are delivered, and how cities anticipate and respond to residents’ needs," Celi said. "What’s most encouraging is that they are using artificial intelligence in a way that strengthens public value, trust, and social equity."