Brownfield Redevelopment Specialists and Site Managers
In short: today's best AI models could do about 18% 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 61% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 28% of the time, stays with people.
Plan and direct cleanup and redevelopment of contaminated properties for reuse. Does not include properties sufficiently contaminated to qualify as Superfund sites.
$141,900 a year (for the broader BLS group this job sits in).
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work7 h
- Desk work AI can't do yet22 h
- Stays with people11 h
Brownfield Redevelopment Specialists and Site Managers, now: of a 40-hour week, AI could take on 0 hours, 7 hours become checking its work, 22 hours are desk work it can't do yet, and 11 hours stay with people.
The largest pieces: Estimate cleanup costs (about 2 h, a person checks); Keep project records (about 1 h, a person checks); Find and apply for funding (about 1 h, a person checks).
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.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 70%
- 2%
- 8%
- 16%
- 4%
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.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide 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.
What handing it over would take, now
The 18% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
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, 2%. Today's estimate: 18%.
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
None of this job's 23 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
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 6% of this job's working time as physical work. For 6% of the working time, a robot has been shown doing most of the task somewhere: 6% in a structured facility. 0.12 of 3, the 502nd highest of the 923 jobs.
- Not physical 94%
- In a structured facility 6%
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.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
27% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Plan and run redevelopment projects, the in-person work, 6%
- Design site quality measures, the in-person work, 4%
- Plan water remediation, the in-person work, 3%
- Plan sustainable regeneration, the conversation, 3%
- Coordinate on-site cleanup, the in-person work, 3%
- Conduct restoration studies, the hands-on work, 2%
What becomes checking the machine
60% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.
- Find and apply for funding, costly if wrong, 8%
- Design site quality measures, severe if wrong, 7%
- Estimate cleanup costs, costly if wrong, 6%
- Plan water remediation, severe if wrong, 6%
- Plan sustainable regeneration, costly if wrong, 5%
- Plan and run redevelopment projects, severe if wrong, 5%
What to learn
- Briefing a model and checking its drafts. About 70% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- The conversations. About 23% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 23 tasks from .
| Task | ||||
|---|---|---|---|---|
| Design or implement measures to improve the water, air, and soil quality of military test sites, abandoned mine land, or other contaminated sites.Measures designed on paper and carried out on site.Done more than yearly by most who do it. | 14% | 1.7 work weeks1.7 work days to 1.2 work months | Documents 70%, in person 30% | 1%Desk part half by Aug 2028 |
| Plan or implement brownfield redevelopment projects to ensure safety, quality, and compliance with applicable standards or requirements.The project planned on paper, run on site, with calls to contractors.Done more than monthly by most who do it. | 13% | 4.2 work days6.7 h to 3.3 work weeks | Documents 50%, in person 30%, conversation 20% | 3%Desk part half by Apr 2028 |
| Design or implement plans for surface or ground water remediation.Remediation designed on paper and carried out on site.Done more than yearly by most who do it. | 12% | 1.7 work weeks1.7 work days to 1.2 work months | Documents 70%, in person 30% | 1%Desk part half by Aug 2028 |
| Develop or implement plans for the sustainable regeneration of brownfield sites to ensure regeneration of a wider area by providing environmental protection or economic and social benefits.Plans written, with conversations with the community and partners.Done more than yearly by most who do it. | 11% | 1.7 work weeks1.7 work days to 1.2 work months | Documents 70%, conversation 30% | 1%Desk part half by Aug 2028 |
| Identify and apply for project funding.Funding identified and applications written.Done more than yearly by most who do it. | 8% | 1.3 work days2.5 h to 4.2 work days | Documents 100% | 36%Half by Feb 2027 |
| Design or conduct environmental restoration studies.Studies designed and written, with field work.Done more than yearly by most who do it. | 7% | 1.7 work weeks1.7 work days to 1.2 work months | Documents 70%, hands-on 30% | 1%Desk part half by Aug 2028 |
| Estimate costs for environmental cleanup and remediation of land redevelopment projects.Cost estimates worked out on paper.Done more than yearly by most who do it. | 6% | 6.7 h3.3 h to 2.5 work days | Documents 100% | 80%Half by now |
| Coordinate on-site activities for environmental cleanup or remediation projects to ensure compliance with environmental laws, standards, regulations, or other requirements.Directing the work on site against the rules, with the paperwork.Done more than monthly by most who do it. | 5% | 1 work day3.3 h to 2.1 work days | In person 60%, documents 40% | 31%Desk part half by now |
| Maintain records of decisions, actions, and progress related to environmental redevelopment projects.Decisions and progress recorded in the project files.Done daily by most who do it. | 3% | 2.5 h50 min to 1 work day | Systems 60%, documents 40% | 92%Half by now |
| Conduct feasibility or cost-benefit studies for environmental remediation projects.Cost-benefit studies written.Done more than yearly by most who do it. | 3% | 4.2 work days1.7 work days to 2.5 work weeks | Documents 100% | 7%Half by Sep 2027 |
| Conduct quantitative risk assessments for human health, environmental, or other risks.Quantitative risk analysis on paper.Done more than yearly by most who do it. | 3% | 4.2 work days1.7 work days to 2.5 work weeks | Documents 100% | 7%Half by Sep 2027 |
| Design or implement plans for structural demolition and debris removal.Plans written and carried out on site with contractors.Done yearly or less by most who do it. | 3% | 2.5 work days6.7 h to 1.7 work weeks | Documents 60%, in person 40% | 11%Desk part half by Jun 2027 |
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. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% 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.
- Environmental Restoration Planners19% now, 71% by 2028
- Environmental Engineers31% now, 58% by 2028
- Environmental Scientists and Specialists, Including Health21% now, 68% by 2028
- Conservation Scientists57% now, 70% by 2028
- Environmental Science and Protection Technicians, Including Health34% now, 65% by 2028
- Water/Wastewater Engineers11% now, 75% by 2028
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 Brownfield Redevelopment Specialists and Site Managers is within reach of AI now?
- An estimated 18% of the working time is within reach of AI models now and 61% by the end of 2028, on METR's long-run pace at four in five (40% to 71% 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 Brownfield Redevelopment Specialists and Site Managers 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: Estimate cleanup costs (80% of the task's time now, 100% by the end of 2028); Keep project records (92% of the task's time now, 100% by the end of 2028); and Find and apply for funding (36% of the task's time now, 99% by the end of 2028).
- Which tasks of Brownfield Redevelopment Specialists and Site Managers stay with people?
- Every task has a desk part, so each can come partly within reach; the conversation, in-person and hands-on parts of each task stay with people, about 28% of the working time.
- What should Brownfield Redevelopment Specialists and Site Managers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are briefing a model and checking its drafts; reviewing work you did not do yourself; and judgment where errors are severe. By the end of 2028 on the long-run pace at four in five, about 27% of the working time stays with people, 60% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Brownfield Redevelopment Specialists and Site Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. 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 Brownfield Redevelopment Specialists and Site Managers?
- Anthropic's robot exposure rating (September 2026) finds 6% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 6% of the working time, 6% in a structured facility. Its index is 0.12 of 3. One example: Percepto Air Max OGI / Percepto AIM drone-in-a-box for "inspect sites". 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 23 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), 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.
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