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STRATUSWORKFORCE SCAN

Urban and Regional Planners

In short: today's best AI models could do about 32% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 76% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 22% of the time, stays with people.

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

44,230 people do this job in the US. $89,320 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on13 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet18 h
  • Stays with people9 h

Urban and Regional Planners, now: of a 40-hour week, AI could take on 13 hours, 0 hours become checking its work, 18 hours are desk work it can't do yet, and 9 hours stay with people.

The largest pieces: Determine the effects of regulatory limitations on land use projects (about 2 h); Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables, such as population density (about 2 h); Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation (about 2 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
32%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 78%
  • 11%
  • 11%
10%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
February 2027

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 78% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 4%. Today's estimate: 33%.

0%10%20%30%40%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 0% within reachClaude Opus 4.5, November 2025: 0% within reachGPT-5.2, December 2025: 1% within reachClaude Opus 4.6, February 2026: 1% within reachClaude Mythos Preview (early), April 2026: 4% within reachToday (estimate), November 2026: 33% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.011% went to this job's tasks in May 2026, the 414th largest of the 447 jobs that showed up at all; 1 of its 25 tasks showed up. Within each of Anthropic's methods, never across a change: 0.17% to 0.12% (released February and March 2025); 0.38% to 0.13% (August 2025 to February 2026); 0.011% to 0.011% (April to May 2026).

0%0.25%0.5%20252026released February 2025: 0.17%released March 2025: 0.12%the week of Aug 4, 2025: 0.38%the week of Nov 13, 2025: 0.094%the week of Feb 5, 2026: 0.13%April 2026: 0.011%May 2026: 0.011%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.17%105 of 7087 of 25
Released March 20250.12%136 of 7039 of 25
The week of Aug 4, 20250.38%46 of 6553 of 25
The week of Nov 13, 20250.094%161 of 6726 of 25
The week of Feb 5, 20260.13%130 of 6774 of 25
April 20260.011%400 of 4341 of 25
May 20260.011%414 of 4471 of 25

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 3% of this job's working time as physical work. For 3% of the working time, a robot has been shown doing most of the task somewhere: 3% in any setting. 0.08 of 3, the 541st highest of the 923 jobs.

  • Not physical 97%
  • In any setting 3%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 25 tasks from .

TaskKind
Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation.Done daily by most who do it. 23%2.5 work days6.7 h to 1.7 work weeks18%Half by Jun 2027
Develop plans for public or alternative transportation systems for urban or regional locations to reduce carbon output associated with transportation.Done more than yearly by most who do it. 10%4.2 work days6.7 h to 3.3 work weeks5%Half by Apr 2028
Conduct field investigations, surveys, impact studies, or other research to compile and analyze data on economic, social, regulatory, or physical factors affecting land use.Done more than monthly by most who do it. 9%2.1 work days6.7 h to 1 work weekStays with people
Assess the feasibility of land use proposals and identify necessary changes.Done more than weekly by most who do it. 6%6.7 h1.7 h to 2.5 work days55%Half by now
Determine the effects of regulatory limitations on land use projects.Done more than monthly by most who do it. 6%3.3 h50 min to 1.3 work days80%Half by now
Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables, such as population density.Done more than monthly by most who do it. 6%6.7 h2.5 h to 2.5 work days69%Half by now
Supervise or coordinate the work of urban planning technicians or technologists.Done daily by most who do it. 5%1.7 h25 min to 3.3 hStays with people
Identify opportunities or develop plans for sustainability projects or programs to improve energy efficiency, minimize pollution or waste, or restore natural systems.Done more than yearly by most who do it. 5%2.1 work days5 h to 1.7 work weeks19%Half by Jul 2027
Evaluate proposals for infrastructure projects or other development for environmental impact or sustainability.Done more than monthly by most who do it. 5%1.3 work days3.3 h to 4.2 work days44%Half by Dec 2026
Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives.Done more than monthly by most who do it. 3%2.5 h50 min to 1 work dayStays with people
Prepare reports, using statistics, charts, and graphs, to illustrate planning studies in areas such as population, land use, or zoning.3%1.3 work days3.3 h to 3.8 work days47%Half by Nov 2026
Review and evaluate environmental impact reports pertaining to private or public planning projects or programs.Done more than monthly by most who do it. 2%1 work day2.5 h to 4.2 work days43%Half by Dec 2026

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Questions about this job

How much of the work of Urban and Regional Planners is within reach of AI now?
An estimated 33% of the working time is within reach of AI models now and 76% by the end of 2028, on METR's long-run pace at four in five (64% to 78% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Urban and Regional Planners come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Determine the effects of regulatory limitations on land use projects (80% of the task's time now, 100% by the end of 2028); Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables, such as population density (69% of the task's time now, 100% by the end of 2028); and Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation (18% of the task's time now, 99% by the end of 2028).
Which tasks of Urban and Regional Planners stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Conduct field investigations, surveys, impact studies, or other research to compile and analyze data on economic, social, regulatory, or physical factors affecting land use; Supervise or coordinate the work of urban planning technicians or technologists; and Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives. Together such tasks are about 22% of the working time.
Do people already use AI for the work of Urban and Regional Planners?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.011% went to this job's tasks, the 414th largest share of the 447 jobs that showed up; 1 of its 25 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 10%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Urban and Regional Planners?
Anthropic's robot exposure rating (September 2026) finds 3% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 3% of the working time, 3% in any setting. Its index is 0.08 of 3. One example: Skydio 3D Scan (Skydio 2 / X2 / X10) for "conduct interviews, surveys and site inspections concerning factors that affect land usage, such as zoning, traffic flow and housing". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 25 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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