Will AI replace Urban and Regional Planners?
Work in Urban and Regional Planners sits in the in-between: AI reaches some of it (~48% in theory) but is only measured doing about 10% today — part human, part machine.
O*NET-SOC 19-3051
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~48%). By late 2025, real-world AI use had reached about 10% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~48%), real-world use (~10%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation.
- Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives.
- Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables, such as population density.
- Mediate community disputes or assist in developing alternative plans or recommendations for programs or projects.
- Recommend approval, denial, or conditional approval of proposals.
- Conduct field investigations, surveys, impact studies, or other research to compile and analyze data on economic, social, regulatory, or physical factors affecting land use.
- Evaluate proposals for infrastructure projects or other development for environmental impact or sustainability.
- Discuss with planning officials the purpose of land use projects, such as transportation, conservation, residential, commercial, industrial, or community use.
- Keep informed about economic or legal issues involved in zoning codes, building codes, or environmental regulations.
- Assess the feasibility of land use proposals and identify necessary changes.
- Determine the effects of regulatory limitations on land use projects.
- Review and evaluate environmental impact reports pertaining to private or public planning projects or programs.
- Supervise or coordinate the work of urban planning technicians or technologists.
- Develop plans for public or alternative transportation systems for urban or regional locations to reduce carbon output associated with transportation.
- Identify opportunities or develop plans for sustainability projects or programs to improve energy efficiency, minimize pollution or waste, or restore natural systems.
- Coordinate work with economic consultants or architects during the formulation of plans or the design of large pieces of infrastructure.
- Advocate sustainability to community groups, government agencies, the general public, or special interest groups.
- Investigate property availability for purposes of development.
- Hold public meetings with government officials, social scientists, lawyers, developers, the public, or special interest groups to formulate, develop, or address issues regarding land use or community plans.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.