First-Line Supervisors of Farming, Fishing, and Forestry Workers
In short: today's best AI models could do about 23% 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 the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 77% of the time, stays with people.
Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers.
27,960 people do this job in the US. $59,320 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on9 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people31 h
First-Line Supervisors of Farming, Fishing, and Forestry Workers, now: of a 40-hour week, AI could take on 9 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 31 hours stay with people.
The largest pieces: Perform both supervisory and management functions, such as accounting, marketing, and personnel work (about 4 h); Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters (under an hour); Schedule work crews, equipment, or transportation for several different work locations (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.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 23%
- 4%
- 72%
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: 23%.
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 371st largest of the 447 jobs that showed up at all; 1 of its 30 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0021% to none (released February and March 2025); none to 0.0031% (August 2025 to February 2026); 0.011% to 0.011% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0021% | 692 of 708 | 1 of 30 |
| Released March 2025 | none | n/a | 0 of 30 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 30 |
| The week of Nov 13, 2025 (released January 2026) | 0.0041% | 595 of 672 | 2 of 30 |
| The week of Feb 5, 2026 (released March 2026) | 0.0031% | 607 of 677 | 1 of 30 |
| April 2026 (released June 2026) | 0.011% | 355 of 434 | 1 of 30 |
| May 2026 (released June 2026) | 0.011% | 371 of 447 | 1 of 30 |
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 45% of this job's working time as physical work. For 36% of the working time, a robot has been shown doing most of the task somewhere: 5% in a purpose-built cell, 25% in a structured facility, 5% in any setting. 0.72 of 3, the 254th highest of the 923 jobs.
- Not physical 55%
- No robot shown 9%
- In a purpose-built cell 5%
- In a structured facility 25%
- In any setting 5%
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 . 30 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Drive or operate farm machinery, such as trucks, tractors, or self-propelled harvesters, to transport workers or supplies or to cultivate or harvest fields.Done more than weekly by most who do it. Robots: in a structured facility, John Deere autonomy kit (Autonomous 8R/9RX tractor) (sold). Anthropic's rating. | 13% | 2.5 h50 min to 6.7 h | Stays with people | |
| Perform both supervisory and management functions, such as accounting, marketing, and personnel work.Done daily by most who do it. | 10% | 3.3 h50 min to 6.7 h | 91%Half by now | |
| Coordinate the selection and movement of logs from storage areas, according to transportation schedules or production requirements.Done daily by most who do it. | 8% | 1.7 h38 min to 3.3 h | Stays with people | |
| Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.Done more than monthly by most who do it. | 7% | 2.5 h50 min to 6.7 h | Stays with people | |
| Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures.Done daily by most who do it. | 6% | 1.7 h50 min to 3.3 h | Stays with people | |
| Inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting.Done daily by most who do it. Robots: in any setting, Solix (Solinftec) (deployed). Anthropic's rating. | 6% | 1.3 h25 min to 3.3 h | Stays with people | |
| Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted.Done daily by most who do it. Robots: in a structured facility, Lely Astronaut A5 automatic milking system (deployed). Anthropic's rating. | 4% | 38 min17 min to 1.3 h | Stays with people | |
| Monitor operations to identify and solve problems, improve work methods, and ensure compliance with safety, company, and government regulations. | 3% | 2.5 h50 min to 4.2 h | Stays with people | |
| Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.Done more than weekly by most who do it. | 3% | 2.5 h1.3 h to 5 h | Stays with people | |
| Coordinate dismantling, moving, and setting up equipment at new work sites.Done more than monthly by most who do it. Robots: in a purpose-built cell, Nabors RZR (Red Zone Robotics) rig floor module / R801 robotic rig (deployed). Anthropic's rating. | 3% | 3.3 h50 min to 1 work day | Stays with people | |
| Inspect facilities to determine maintenance needs.Done daily by most who do it. Robots: in a structured facility, ChickenBoy / Scout (Faromatics) (sold). Anthropic's rating. | 3% | 50 min25 min to 1.7 h | Stays with people | |
| Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.Done daily by most who do it. | 3% | 25 min13 min to 1.3 h | Stays 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.
- First-Line Supervisors of Production and Operating Workers48% now, 54% by 2028
- First-Line Supervisors of Mechanics, Installers, and Repairers47% now, 57% by 2028
- First-Line Supervisors of Construction Trades and Extraction Workers32% now, 32% by 2028
- First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers29% now, 30% by 2028
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators45% now, 45% by 2028
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand33% now, 34% 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 First-Line Supervisors of Farming, Fishing, and Forestry Workers is within reach of AI now?
- An estimated 23% of the working time is within reach of AI models now and 24% by the end of 2028, on METR's long-run pace at four in five. 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 First-Line Supervisors of Farming, Fishing, and Forestry Workers 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 both supervisory and management functions, such as accounting, marketing, and personnel work (91% of the task's time now, 100% by the end of 2028); Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters (100% of the task's time now); and Schedule work crews, equipment, or transportation for several different work locations (100% of the task's time now).
- Which tasks of First-Line Supervisors of Farming, Fishing, and Forestry Workers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Drive or operate farm machinery, such as trucks, tractors, or self-propelled harvesters, to transport workers or supplies or to cultivate or harvest fields; Coordinate the selection and movement of logs from storage areas, according to transportation schedules or production requirements; and Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations. Together such tasks are about 77% of the working time.
- Do people already use AI for the work of First-Line Supervisors of Farming, Fishing, and Forestry Workers?
- 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 371st largest share of the 447 jobs that showed up; 1 of its 30 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. 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 First-Line Supervisors of Farming, Fishing, and Forestry Workers?
- Anthropic's robot exposure rating (September 2026) finds 45% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 36% of the working time, 5% in any setting. Its index is 0.72 of 3. One example: Solix (Solinftec) for "inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting". 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 30 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.
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