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STRATUSWORKFORCE SCAN

Environmental Economists

In short: today's best AI models could do about 12% 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 80% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 4% of the time, stays with people.

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Conduct economic analysis related to environmental protection and use of the natural environment, such as water, air, land, and renewable energy resources. Evaluate and quantify benefits, costs, incentives, and impacts of alternative options using economic principles and statistical techniques.

$124,720 a year (for the broader BLS group this job sits in).

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on5 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet34 h
  • Stays with people1 h

Environmental Economists, now: of a 40-hour week, AI could take on 5 hours, 0 hours become checking its work, 34 hours are desk work it can't do yet, and 1 hours stay with people.

The largest pieces: Write technical documents or academic articles to communicate study results or economic forecasts (about 2 h); Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks (under an hour); Collect and analyze data to compare the environmental implications of economic policy or practice alternatives (under an hour).

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
12%

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

Kinds of work
  • 96%
  • 4%
  • 0%
24%

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 2028

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 96% 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, 0%. Today's estimate: 12%.

0%5%10%15%20%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: 0% within reachClaude Opus 4.6, February 2026: 0% within reachClaude Mythos Preview (early), April 2026: 0% within reachToday (estimate), November 2026: 12% 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, 0.12% went to this job's tasks in May 2026, the 148th largest of the 447 jobs that showed up at all; 1 of its 20 tasks showed up. Within each of Anthropic's methods, never across a change: 0.079% to 0.074% (released February and March 2025); 0.041% to 0.023% (August 2025 to February 2026); 0.11% to 0.12% (April to May 2026).

0%0.1%0.2%20252026released February 2025: 0.079%released March 2025: 0.074%the week of Aug 4, 2025: 0.041%the week of Nov 13, 2025: 0.027%the week of Feb 5, 2026: 0.023%April 2026: 0.11%May 2026: 0.12%
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 20250.079%202 of 7086 of 20
Released March 20250.074%203 of 7039 of 20
The week of Aug 4, 20250.041%266 of 6552 of 20
The week of Nov 13, 20250.027%342 of 6722 of 20
The week of Feb 5, 20260.023%385 of 6772 of 20
April 20260.11%151 of 4341 of 20
May 20260.12%148 of 4471 of 20

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 almost none of this job's working time as physical work, so robots do not reach it.

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 . 20 tasks from .

TaskKind
Conduct research on economic and environmental topics, such as alternative fuel use, public and private land use, soil conservation, air and water pollution control, and endangered species protection.Done more than weekly by most who do it. 10%4.2 work days6.7 h to 3.5 work weeks5%Half by Apr 2028
Develop economic models, forecasts, or scenarios to predict future economic and environmental outcomes.Done more than yearly by most who do it. AI observed on this task.10%4.2 work days6.7 h to 3.5 work weeks5%Half by Apr 2028
Conduct research to study the relationships among environmental problems and patterns of economic production and consumption.Done more than yearly by most who do it. 10%4.2 work days6.7 h to 3.5 work weeks5%Half by Apr 2028
Perform complex, dynamic, and integrated mathematical modeling of ecological, environmental, or economic systems.Done more than yearly by most who do it. 10%1.7 work weeks1.7 work days to 1.6 work months1%Half by Oct 2028
Develop programs or policy recommendations to promote sustainability and sustainable development.Done more than yearly by most who do it. 10%4.2 work days6.7 h to 2.5 work weeks6%Half by Feb 2028
Write technical documents or academic articles to communicate study results or economic forecasts.Done more than yearly by most who do it. AI observed on this task.10%1.7 work days6.7 h to 4.2 work days49%Half by now
Write social, legal, or economic impact statements to inform decision makers for natural resource policies, standards, or programs.Done more than yearly by most who do it. 10%1.3 work weeks1.7 work days to 4.2 work weeks3%Half by Apr 2028
Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks.Done more than yearly by most who do it. 7%2.1 work days3.3 h to 1.7 work weeks15%Half by Oct 2027
Collect and analyze data to compare the environmental implications of economic policy or practice alternatives.Done more than monthly by most who do it. 6%2.1 work days3.3 h to 1.7 work weeks15%Half by Oct 2027
Develop programs or policy recommendations to achieve environmental goals in cost-effective ways.Done more than yearly by most who do it. 5%4.2 work days6.7 h to 2.5 work weeks6%Half by Feb 2028
Examine the exhaustibility of natural resources or the long-term costs of environmental rehabilitation.Done more than yearly by most who do it. 3%2.1 work days3.3 h to 1.7 work weeks15%Half by Oct 2027
Demonstrate or promote the economic benefits of sound environmental regulations.Done more than yearly by most who do it. 2%6.7 h1.7 h to 3.3 work daysStays with people

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.

Where this job works

The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.

Questions about this job

How much of the work of Environmental Economists is within reach of AI now?
An estimated 12% of the working time is within reach of AI models now and 80% by the end of 2028, on METR's long-run pace at four in five (44% to 94% 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 Environmental Economists 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: Write technical documents or academic articles to communicate study results or economic forecasts (49% of the task's time now, 100% by the end of 2028); Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks (15% of the task's time now, 92% by the end of 2028); and Collect and analyze data to compare the environmental implications of economic policy or practice alternatives (15% of the task's time now, 92% by the end of 2028).
Which tasks of Environmental Economists stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Demonstrate or promote the economic benefits of sound environmental regulations; and Teach courses in environmental economics. Together such tasks are about 4% of the working time.
Do people already use AI for the work of Environmental Economists?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.12% went to this job's tasks, the 148th largest share of the 447 jobs that showed up; 1 of its 20 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 24%. 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 Environmental Economists?
Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
How is this estimated?
From the 20 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

This job in your state or metro area
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The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

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