Research Collaborative

How can local governments harness AI agents for responsible, effective innovation?

The Agentic City is a research collaborative of Cornell Tech's Urban Tech Hub exploring desirable and achievable futures for agentic AI in cities.

Forecasting Methodology

From weak signals to a strategic forecast.

1 / 6
1 Signals

Signals are gathered from the crowd.

Governance New York City opens an AI operations command center
Governance Singapore's GovTech deploys a cross-agency AI coordination layer
Governance Barcelona tests an agentic layer for routine municipal decisions
Governance Helsinki assigns AI co-pilots to every city department
Housing Los Angeles cuts ADU permit review time with AI plan checking
Infrastructure Austin's building department achieves 80% AI code review
Governance Tokyo cuts permit review time 70% with automated plan checking
Infrastructure Chicago predicts water main failures five years out
Infrastructure Pittsburgh uses AI to prioritize bridge inspection schedules
Infrastructure Seoul ranks road pothole repairs using machine learning
Infrastructure Atlanta's AI flags stormwater drain failures before they flood
Public Health Denver integrates AI triage into its 911 dispatch center
Public Health London Fire Brigade tests AI for optimal station deployment
Public Health New Orleans uses ML to optimize flood evacuation routing
Public Health Philadelphia's overdose response is guided by predictive mapping
Governance Kansas City pilots AI-assisted participatory budgeting
Governance Copenhagen reallocates street-cleaning crews in real time with AI
Governance São Paulo's AI routes social workers to highest-need neighborhoods
Public Health Los Angeles dispatches homelessness response teams with AI
2 Trends

Curators cluster signals into trends — patterns with a direction and a timeframe.

3 Forecasts

Trends are woven into forecasts — a strategic, big-picture view of plausible futures for cities.

The Agentic Municipality

Within a decade, most routine city operations — permitting, procurement, service dispatch, budget allocation — will be handled autonomously by AI agents that operate within policy guardrails, escalating only edge cases to humans. The city hall of the future is a policy-setting body, not a service delivery machine.

5 trends contributing
The living forecast

A web of possible futures.

Explore the entire forecast graph. Search or filter by domain, then click any node to read the full entry.

Signal Trend Forecast Orphan Click any node to open it · share links land right back here
Join the effort

Get involved.

Three ways in — catch a signal as you browse, file one directly, or just follow along by email.

Capture from anywhere

The Signal Catcher

See something worth flagging while you're browsing? Catch it in one click. Drag this button to your bookmarks bar — it pre-fills the form with the page URL, title, and any text you've highlighted.

  1. 1. Show bookmarks bar ⌘⇧B
  2. 2. Drag the button below onto it
  3. 3. Click it on any page to catch a signal
📌 Catch a Signal Drag me up to your bookmarks bar ↑
Submit directly

File a signal

Have something specific in mind? Use the signal form to add your observation with full context — source URL, category, and your own read on what it means.

Stay informed

Get the digest

Prefer to watch from the sidelines? Get the latest signals, trends, and forecasts by email as they're published.

The Initiative

Helping cities achieve transformative impact through AI.

What we do
01

Foresight

Define the field

02

Experiment

Catalyze innovation

03

Govern

Build accountability

04

Platform

Map pathways to scale

Based at Cornell Tech's Urban Tech Hub in New York City, The Agentic City bridges the gap between high-level AI governance vision and on-the-ground municipal implementation. We help cities envision, specify, and build capabilities to address strategic AI opportunities and challenges on the horizon.

About the initiative