# Urban and Regional Planners

> Develop comprehensive plans and programs for use of land and physical facilities of jurisdictions, such as towns, cities, counties, and metropolitan areas.

- **SOC code:** 19-3051.00
- **Canonical URL:** https://singulariki.com/roles/role-19-3051-00
- **Also known as:** Community Development Planner, Planner, Planning Consultant, Planning Technician, City Planner, Community Planner, Development Technician, Housing Development Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- 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.
- 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.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Law and Government _(knowledge)_
- English Language _(knowledge)_
- Geography _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Transportation _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Systems Analysis _(transferable_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Geography _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Social Perceptiveness _(Common Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology, in demand)_
- ESRI ArcGIS software _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Bentley MicroStation _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 93rd percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 83rd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 87th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 94th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 30th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.4% growth (About average); 3.4k annual openings; 44.7k → 46.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $83,720; 43,040 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Autonomy median:** 4.0 (higher = AI acts more independently).

**Tasks most handed to AI here:**
- Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives. _(0.3% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-19-3051-00_