Forestry and Conservation Science Teachers, Postsecondary
In short: today's best AI models could do about 51% 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 71% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 18% of the time, stays with people.
Teach courses in forestry and conservation science. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
1,520 people do this job in the US. $101,420 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on21 h
- A person checks AI's work0 h
- Desk work AI can't do yet12 h
- Stays with people7 h
Forestry and Conservation Science Teachers, Postsecondary, now: of a 40-hour week, AI could take on 21 hours, 0 hours become checking its work, 12 hours are desk work it can't do yet, and 7 hours stay with people.
The largest pieces: Perform administrative duties, such as serving as department head (about 4 h); Prepare course materials, such as syllabi, homework assignments, and handouts (about 3 h); Prepare and deliver lectures to undergraduate or graduate students on topics, such as forest resource policy, forest pathology, and mapping (about 3 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.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 82%
- 13%
- 5%
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.
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, 13%. Today's estimate: 51%.
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, 0.051% went to this job's tasks in May 2026, the 233rd largest of the 447 jobs that showed up at all; 6 of its 25 tasks showed up. Within each of Anthropic's methods, never across a change: 0.049% to 0.097% (released February and March 2025); 0.094% to 0.052% (August 2025 to February 2026); 0.041% to 0.051% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.049% | 280 of 708 | 20 of 25 |
| Released March 2025 | 0.097% | 165 of 703 | 19 of 25 |
| The week of Aug 4, 2025 (released September 2025) | 0.094% | 164 of 655 | 19 of 25 |
| The week of Nov 13, 2025 (released January 2026) | 0.058% | 221 of 672 | 22 of 25 |
| The week of Feb 5, 2026 (released March 2026) | 0.052% | 244 of 677 | 21 of 25 |
| April 2026 (released June 2026) | 0.041% | 241 of 434 | 5 of 25 |
| May 2026 (released June 2026) | 0.051% | 233 of 447 | 6 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 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 . 25 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Conduct research in a particular field of knowledge and publish findings in books, professional journals, or electronic media.Done yearly or less by most who do it. AI observed on this task. | 18% | 1.2 work months1.7 work weeks to 3.9 work months | 0%Half by Mar 2029 | |
| Perform administrative duties, such as serving as department head.Done yearly or less by most who do it. | 11% | 6.7 h3.3 h to 2.1 work days | 86%Half by now | |
| Prepare course materials, such as syllabi, homework assignments, and handouts.Done daily by most who do it. | 8% | 3.3 h1.7 h to 1 work day | 99%Half by now | |
| Prepare and deliver lectures to undergraduate or graduate students on topics, such as forest resource policy, forest pathology, and mapping.Done more than weekly by most who do it. | 7% | 3.3 h1.7 h to 6.7 h | 100%Half by now | |
| Evaluate and grade students' class work, assignments, and papers.Done more than weekly by most who do it. AI observed on this task. | 6% | 3.3 h50 min to 1.3 work days | 80%Half by now | |
| Supervise undergraduate or graduate teaching, internship, and research work.Done daily by most who do it. | 6% | 2.5 h50 min to 5 h | Stays with people | |
| Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.Done more than weekly by most who do it. AI observed on this task. | 5% | 2.5 h50 min to 6.7 h | 96%Half by now | |
| Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.Done more than yearly by most who do it. AI observed on this task. | 5% | 1.3 work days3.3 h to 4.2 work days | 44%Half by Dec 2026 | |
| Supervise students' laboratory or field work.Done more than weekly by most who do it. | 5% | 3.3 h1.3 h to 6.7 h | Stays with people | |
| Write grant proposals to procure external research funding.Done more than yearly by most who do it. | 5% | 1.3 work weeks2.1 work days to 3.3 work weeks | 2%Half by Jan 2028 | |
| Provide information to the public by leading workshops and training programs and by developing educational materials.Done more than yearly by most who do it. | 4% | 6.7 h2.5 h to 2.1 work days | 76%Half by now | |
| Compile, administer, and grade examinations, or assign this work to others.Done more than weekly by most who do it. AI observed on this task. | 4% | 5 h1.7 h to 1.7 work days | 80%Half by now |
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.
- Environmental Science Teachers, Postsecondary45% now, 71% by 2028
- Agricultural Sciences Teachers, Postsecondary39% now, 75% by 2028
- Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary46% now, 74% by 2028
- Biological Science Teachers, Postsecondary25% now, 50% by 2028
- Geography Teachers, Postsecondary49% now, 80% by 2028
- Family and Consumer Sciences Teachers, Postsecondary47% now, 77% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Forestry and Conservation Science Teachers, Postsecondary is within reach of AI now?
- An estimated 51% of the working time is within reach of AI models now and 71% by the end of 2028, on METR's long-run pace at four in five (61% to 80% 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 Forestry and Conservation Science Teachers, Postsecondary 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: Perform administrative duties, such as serving as department head (86% of the task's time now, 100% by the end of 2028); Prepare course materials, such as syllabi, homework assignments, and handouts (99% of the task's time now); and Prepare and deliver lectures to undergraduate or graduate students on topics, such as forest resource policy, forest pathology, and mapping (100% of the task's time now).
- Which tasks of Forestry and Conservation Science Teachers, Postsecondary stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Supervise undergraduate or graduate teaching, internship, and research work; Supervise students' laboratory or field work; and Collaborate with colleagues to address teaching and research issues. Together such tasks are about 18% of the working time.
- Do people already use AI for the work of Forestry and Conservation Science Teachers, Postsecondary?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.051% went to this job's tasks, the 233rd largest share of the 447 jobs that showed up; 6 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 2%. 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 Forestry and Conservation Science Teachers, Postsecondary?
- 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 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.
This job in your state or metro area
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.
Your own version of this job
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.
This occupation has not been reviewed task by task yet, so the full personal report is not offered for it; 402 of 923 occupations are reviewed so far, largest first.