Six U.S. Cities Lead Global AI Adoption
A ThoughtLab survey of 526 city leaders across 215 cities identifies six U.S. cities among 37 global AI leaders.
Updated on Nov. 3, 2026 in Artificial Intelligence
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ThoughtLab identified Austin, Boston, San Francisco, San Jose, Seattle, and Washington, D.C. as AI leaders among 37 cities worldwide, based on a survey conducted in July and August 2026. Sixty-five percent of the 526 city leaders surveyed view AI as a key competitive and economic driver for their cities.
Why it matters
The findings show that while most cities see AI as central to their future, few have moved to an integrated citywide strategy, with only 27% reporting one. Cost, talent shortages, and public trust remain the main obstacles to wider adoption.
Data management and infrastructure management are the top AI uses, each reported by 80% of respondents, while 76% use AI for cybersecurity and data privacy. Nearly 85% cite long-term or unexpected costs as a barrier, but the survey does not report cost figures for individual deployments.
The players
ThoughtLab
ThoughtLab is a research and consulting firm that publishes benchmarking studies on business and technology strategy.
The details
Leader cities prioritized human-centered design, staff training, and transparency, according to the ThoughtLab benchmark, which scored cities on governance, cybersecurity, and AI-ready data and talent. Barriers reported by respondents include limited AI skills (82%) and public trust and acceptance (69%).
Timeline
July and August 2026: ThoughtLab conducts the city leader AI survey.
August 31, 2026: Core survey event date referenced in the report.
November 3, 2026: Article reporting the findings is published.
The Tech Race
ThoughtLab's benchmark frames city AI leadership around four pillars: human-centered design, governance, cybersecurity, and AI-ready data and talent. The 37 leader cities identified under that framework show which municipalities are moving furthest beyond pilot projects.
Residents of the leader cities may see AI used in data management, infrastructure, and cybersecurity systems that run city services. The survey does not describe specific changes to fees, service access, or privacy protections for individual residents.
The takeaway
Adopting AI at the city level depends less on technology than on governance, staff skills, and public trust, the three areas where most respondents reported gaps. Cities planning AI programs can treat those as the first priorities.
Further reading
For broader context on how governments are deploying these tools, see Artificial Intelligence coverage.
Source note: This article includes information reported by Smart Cities Dive.
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