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The Pothole That Learned to Report Itself

The Pothole That Learned to Report Itself

In San José, California, a pothole no longer waits for a resident to notice it, dial 311, describe the exact block, and hope somebody dispatches a truck. A camera mounted on a city vehicle sees it first, tags it with 97 percent accuracy, and files the ticket before a tire ever hits it.[^1] That is not science fiction. That is a Tuesday. And it is a small, unglamorous preview of a much bigger shift already reshaping local government from the sidewalk up.

Ninety-five percent of English councils are now using or exploring artificial intelligence, up ten points in a single year.[^2] In the United States, roughly forty-six percent of state and local government employees say they are already using AI tools at work, most often to draft, summarize, and process documents.[^3] The technology is no longer arriving. It has arrived, in the break room, on the laptop, and inside the permit-review queue. The only real question left for cities, counties, and towns is whether their people will shape how AI shows up in the public square, or watch it show up without them.

AI Literacy Is a Culture, Not a Course

There is a tempting way to approach AI literacy that goes something like this: buy a training package, run everyone through a two-hour webinar, print certificates, declare victory. It fails almost every time. Skills learned in a stuffy conference room on a Thursday afternoon evaporate by Monday morning, especially when the tools change every quarter.

What actually works looks less like a class and more like a habit. A community of practice where a records clerk can show a planner the prompt that cut her weekly report in half. A monthly demo lunch where the parks department shares what worked and what embarrassed them. A shared prompt library, living on the intranet, that grows the way a good recipe box does, with dog-eared favorites and honest notes about what to skip.

Partnerships accelerate this culture. A community college down the road, a research lab at the state university, a civic-tech nonprofit, or a vendor willing to co-design instead of just sell — each one brings expertise that most municipalities cannot afford to hire full-time. Bloomberg Philanthropies' City AI Connect platform, launched to link local governments experimenting with generative AI, is a working example: peer cities swapping playbooks on multilingual chatbots and transit optimization, so nobody has to invent the wheel alone.[^4]

For those just starting out, the on-ramp is simpler than it looks. Pick one recurring task you hate. Try one AI tool on it this week. Tell one colleague what happened. That is literacy. Everything else is scaffolding.

The Fear in the Room Is Real, and It Deserves an Answer

Seventy-one percent of Americans worry that AI will permanently displace workers.[^5] Inside public-sector organizations that have already adopted AI, sixty-nine percent of employees say "AI anxiety is real" in their workplace, driven by concerns about job security, ethics, privacy, and misinformation.[^6] Any leader who walks into an all-staff meeting waving a shiny pilot without acknowledging that fear is going to lose the room before the slides load.

The honest answer is not a pep talk. It is a promise, backed by policy. When Seattle rolled out its generative AI policy, it did not lead with hype. It led with a vetting process, disclosure requirements, and rules about attribution and sensitive data — the boring, trust-building infrastructure that tells employees the city is treating this seriously.[^7] San José went a step further and required employees to log their generative AI use through an internal reporting form, creating a public record of what was tried and what worked.[^8]

Three moves consistently soften resistance without pretending the concerns are silly:

  • Name what will not change. "Nobody is being laid off because of this pilot" is a sentence worth saying out loud, in writing, more than once.

  • Put staff in the driver's seat. The clerk who processes 300 permit applications a week knows exactly where an AI assistant would help and where it would create chaos. Ask her before the vendor demo, not after.

  • Reward the sharing of failure. A pilot that flopped and taught the team something is more valuable than a pilot that was quietly buried.

The PwC 2025 Global Workforce survey found that daily generative AI users report higher productivity, higher pay, and higher job security than their peers.[^9] That is worth telling employees plainly. The people who learn to work alongside these tools are not the ones being replaced. They are the ones being promoted.

Start Where the Paperwork Hurts

The instinct in government is often to swing for the fences — a citywide AI transformation, a fifty-page strategic plan, a task force with a name that fits on a coffee mug. The instinct works better in reverse. Start with the smallest problem that annoys the most people.

San José did not launch its road-safety AI as a citywide moonshot. It bolted cameras onto a handful of city vehicles, tested pothole detection, hit 97 percent accuracy, and only then expanded to street sweepers scanning for bike-lane obstructions and construction debris.[^10] Buenos Aires did not build a citywide digital twin. It built "Boti," a WhatsApp chatbot for residents, and now handles roughly five million conversations a month through it.[^11]

Good first candidates for AI look almost boring on paper:

  • Tasks that repeat hundreds of times a week with only small variations, like triaging 311 tickets or extracting data from scanned forms.

  • Work that already generates enormous datasets nobody has time to read, like inspection reports, meeting minutes, or public comments.

  • Front-door services where residents wait too long for simple answers in the language they actually speak at home.

Whatever the first project is, define what "good" looks like before turning anything on. Not "we deployed AI." Something measurable: response time cut by X, backlog reduced by Y, resident satisfaction held steady while staff hours dropped. A pilot without a scoreboard is a demo, not a decision.

Data Is the Foundation, and Trust Is the Roof

An AI tool is only as good as the data it is fed, and public data is often held together with duct tape and institutional memory. Records live in three different systems, use four different naming conventions, and are guarded by the one employee who remembers why. Cleaning that up is not glamorous, but it is the difference between an AI pilot that dazzles and one that quietly hallucinates its way into a lawsuit.

Privacy sits right next to data quality, and residents are watching. Half of public servants who use AI at work are reaching for publicly available consumer tools, which is exactly how sensitive constituent data walks out the door.[^12] A serious local government AI program answers three questions in writing, in plain English, and in public:

  • What data can be fed into which tools, and what absolutely cannot.

  • How residents are told when AI touched their case, and how they can opt out or appeal.

  • Who inside the organization reviews AI outputs before they affect a person's benefits, permit, or safety.

Transparency is not a compliance checkbox. It is the reason a parent trusts a school district's AI-assisted enrollment system, or does not. Get the plain-English version right first. The legal version will follow.

Break the Silos Before the Silos Break the Project

The best AI ideas rarely come from the IT department alone. They come from the moment a librarian, a code-enforcement officer, and a data analyst end up in the same room and realize they have been solving three versions of the same problem for a decade. Cross-departmental working groups, hackathons that invite frontline staff, and standing "show and tell" sessions where teams demo what they built last month are cheap, and they compound.

External collaboration matters just as much. Neighboring jurisdictions almost always face the same headaches, and a joint pilot with a shared vendor contract can cut costs while doubling the learning. Community groups, especially those representing residents who are historically underserved by digital services, need to be at the design table early, not surveyed after launch. An AI chatbot that works beautifully in English and stumbles in Spanish or Mandarin is not a chatbot. It is a new form of exclusion.

The Real Question Is Not Whether. It Is Who Decides.

AI in local government is not coming. It is here, in the drafting of memos, the routing of complaints, the flagging of potholes, the summarizing of council packets, the answering of the phone at two in the morning. The choice in front of every city manager, department head, first-year analyst, and new hire is not whether to engage. It is whether to shape what engagement looks like, or to inherit whatever the vendors, the headlines, and the loudest voices decide for them.

If you are a leader, the question this week is not "should we do AI." It is "what is the smallest, most honest pilot we can start on Monday, with the people most affected in the room?" If you are early in your career, the question is not "will AI take my job." It is "which repeatable, tedious part of my week can I hand to a tool by Friday, so I can spend Monday on the work that actually needed a human?"

The pothole is already reporting itself. The permit is already being pre-checked. The chatbot is already answering in three languages. The only remaining variable is you.

Pick the one thing. Try it this week. Tell somebody what happened.

That is how a city learns.

References

[^1]: City of San José. 2025. "San José AI Road Safety Pilot Data Shows 97% Accuracy." News release, September 29, 2025. https://www.sanjoseca.gov/Home/Components/News/News/6926/4699.

[^2]: Local Government Association. 2025. State of the Sector: Artificial Intelligence — 2025 Update. London: Local Government Association. https://www.local.gov.uk/publications/state-sector-artificial-intelligence.

[^3]: MissionSquare Research Institute. 2025. Artificial Intelligence in the Workforce: A Survey of State and Local Government Employees. Washington, DC: MissionSquare Research Institute. https://research.missionsq.org/content/media/document/2025/5/Artificial_Intelligence_StateLocalEmployees.pdf.

[^4]: World Economic Forum. 2024. "How 5 Global Cities Are Innovating with Generative AI." July 24, 2024. https://www.weforum.org/stories/urban-transformation/generative-ai-smart-cities/.

[^5]: Reuters. 2025. "Americans Fear AI Permanently Displacing Workers, Reuters/Ipsos Poll Finds." August 20, 2025. https://www.reuters.com/world/us/americans-fear-ai-permanently-displacing-workers-reutersipsos-poll-finds-2025-08-19/.

[^6]: KPMG in Canada. 2025. "Half of Public Servants Turn to AI, Raising Risks." September 2025. https://kpmg.com/ca/en/media/2025/09/half-of-public-servants-turn-to-ai-raising-risks.html.

[^7]: Smart Cities Dive. 2023. "Generative AI Is Here. This Is How 5 Cities Plan to Manage Its Use." November 16, 2023. https://www.smartcitiesdive.com/news/artificial-intelligence-how-cities-plan-tech/699906/.

[^8]: Smart Cities Dive. 2023. "Generative AI Is Here. This Is How 5 Cities Plan to Manage Its Use." November 16, 2023. https://www.smartcitiesdive.com/news/artificial-intelligence-how-cities-plan-tech/699906/.

[^9]: PwC. 2025. Global Workforce Hopes and Fears Survey 2025. London: PwC. https://www.pwc.com/gx/en/issues/workforce/hopes-and-fears.html.

[^10]: StateScoop. 2025. "AI Now Powers Street Hazard Detection in San Jose, Calif." September 29, 2025. https://statescoop.com/san-jose-ai-street-hazard-detection/.

[^11]: Tomorrow.City. 2025. "How Generative AI Is Shaping Today's Cities." February 3, 2025. https://www.tomorrow.city/how-generative-ai-is-shaping-todays-cities/.

[^12]: KPMG in Canada. 2025. "Half of Public Servants Turn to AI, Raising Risks." September 2025. https://kpmg.com/ca/en/media/2025/09/half-of-public-servants-turn-to-ai-raising-risks.html.

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Manager, Open Data and Analytics
City of Cleveland

ABOUT THE ROLE The Manager, Open Data and Analytics leads the Open Data and analytic efforts for the City of Cleveland in the Office of Urban Analytics and Innovation (Urban AI), reporting to the Director. This role enables improved decision-making through data analytics, increases transparency and quality control through data access, and establishes data governance. The team is responsible for fostering a culture of data and continuous improvement to modernize City Hall, improve operations, and better deliver services to residents. KEY RESPONSIBILITIES - Define and lead complex, cross-departmental analytics and data projects to successful completion - Develop and launch complex analytic solutions supporting city strategic initiatives - Oversee operations of the city's Open Data Portal and plan for continuous improvement - Support city departments in using analytic tools such as Power BI and GIS - Develop and implement change management strategies to maximize employee adoption of data products - Facilitate community engagement and awareness of City data initiatives through partnerships, nonprofits, and hackathons - Serve as the liaison to city staff, departments, consultants, and senior management - Act as team lead and people manager for data and analytics staff in Urban AI - Manage city-wide data and analytics projects, determining tools, scope, timeline, and team members - Execute projects efficiently, measuring performance using appropriate project management tools - Partner with Innovation and Process Improvement leaders on complex, process-driven projects - Implement data management systems and processes with the city-wide Data Warehouse team - Baseline initiatives against industry best practices and peer cities - Supervise planning, analysis, coordination, implementation, and documentation of departmental activities - Monitor project timelines, expenditures, and prepare reports regarding program activities and operational issues MINIMUM QUALIFICATIONS - Bachelor's degree in Business Administration, Public Administration, or a related field from an accredited four-year college or university - Substitution: Two years of equivalent education, training, and experience may substitute for each year of college education lacking - Substitution: A project or program management certification may substitute for up to two years of college education - Five years of full-time paid experience in program or project management, administrative operations, or a related field - Proficiency in the use of computers and common office software applications - Strong written, verbal, organizational, communication, and time management skills SPECIAL REQUIREMENTS - Must be able to lift and carry a minimum of thirty (30) pounds - Valid State of Ohio Driver's License required - Experience with analytic tools such as Power BI, Tableau, GIS, R Studio, or Shiny - Experience with programming languages such as SQL, Python, or R (preferred) - Proven self-management and team-management skills with a customer-oriented attitude - Demonstrated ability to manage complex projects across multiple departments, including monitoring budgets and timelines - Preferred: Local government experience, prior experience as a people manager or team lead, and project management or program administration experience SELECTION PROCESS Not specified in the provided job description. HOW TO APPLY Not explicitly specified in the provided text. Applicants should refer to the official City of Cleveland careers portal and search for Job Number 10829-HR before the closing date. EMPLOYMENT DETAILS - Employer: City of Cleveland - Job Type: Full-time - Job Number: 10829-HR - Department: 1601 - Innovation & Technology - Division: 160104 - Urban AI - Location: 1601 - Innovation & Technology, Cleveland, OH - Opening Date: 07/23/2026 - Closing Date: 08/20/2026 11:59 PM Eastern

City of Cleveland, Ohio
$85,000.00 - $95,000.00 Annually
TechnologyArtificial IntelligenceManagement and Finance
17 days ago
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FULL TIME
Product Services and Technical Portfolio
Office of Innovation & Technology (OIT)

ABOUT THE ROLE The Product Services and Technical Portfolio Project Manager serves as a primary department-facing advisor for the Office of Innovation & Technology (OIT) at the City of Philadelphia. This role is responsible for understanding business needs, documenting operational challenges, recommending available technology services, and coordinating solution delivery through OIT’s approved platforms. The position acts as a liaison between city departments and OIT technical teams, translating business needs into clear requirements, tracking requests through completion, and ensuring departments receive responsive and professional support. KEY RESPONSIBILITIES - Serve as the primary relationship contact for assigned departments - Conduct recurring check-ins to understand current needs, future priorities, and operational challenges - Lead discovery sessions to identify business needs, process challenges, manual workflows, and reporting needs - Document current-state processes and desired future-state outcomes - Use the OIT service catalog to identify available services and validate options to avoid duplicative technology - Help departments understand low-code, CRM, workflow automation, dashboard, reporting, and AI-assisted technology options - Coordinate with Technical Specialists, service owners, cybersecurity, and data governance teams to validate platform fit - Track requests from initial discovery through recommendation, approval, implementation, testing, launch, and post-implementation review - Identify opportunities to streamline department operations and recommend process improvements - Maintain accurate records of department meetings, needs assessments, solution recommendations, and implementation status MINIMUM QUALIFICATIONS 1. Strong relationship management and customer service skills 2. Ability to communicate effectively with both technical and non-technical stakeholders 3. Ability to understand department operations and translate business needs into clear requirements 4. Knowledge of IT service delivery, service catalogs, business analysis, workflow improvement, and technology enablement 5. Functional knowledge of low-code, CRM, workflow automation, dashboard, reporting, and business application platforms 6. Ability to gather platform-neutral business requirements before recommending a specific tool 7. Ability to explain technology options clearly to non-technical department users 8. Understanding of basic technology governance, data sensitivity, security, user access, and supportability considerations 9. Strong facilitation, interviewing, writing, documentation, and follow-up skills 10. Ability to manage multiple department relationships and competing priorities (Note: Preferred experience includes business relationship management, IT service delivery, project coordination, and experience with tools like Quickbase, Microsoft Power Platform, Salesforce, or ServiceNow) SPECIAL REQUIREMENTS - Must become a resident of the City of Philadelphia within six months of hire - Vaccinations are no longer required for new employees in non-medical, non-emergency, or non-patient-facing positions SELECTION PROCESS - Applications are evaluated based on experience, education, and transferable skillsets - Applications will not be considered without a cover letter - The City of Philadelphia is an Equal Opportunity employer and does not permit discrimination based on race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, source of income, familial status, genetic information, or domestic or sexual violence victim status HOW TO APPLY 1. Submit a complete application through the designated portal 2. Attach a current resume 3. Attach a cover letter (mandatory for consideration) EMPLOYMENT DETAILS - Employer: City of Philadelphia, Office of Innovation & Technology (OIT) - Job Type: Full-time - Benefits: Comprehensive health coverage for employees and eligible dependents, paid vacation, sick leave, and holidays, generous retirement savings options, Public Service Loan Forgiveness Program qualification, and a 25% tuition discount program for City employees (and sometimes spouses/dependents) in partnership with area colleges and universities

Philadelphia, Pennsylvania
$85,000-$95,000
TechnologyArtificial Intelligence
19 days ago
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