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STRATUSWORKFORCE SCAN

Farm Equipment Mechanics and Service Technicians

In short: today's best AI models could do about 3% 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 97% of the time, stays with people.

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Diagnose, adjust, repair, or overhaul farm machinery and vehicles, such as tractors, harvesters, dairy equipment, and irrigation systems.

37,870 people do this job in the US. $56,550 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on1 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet0 h
  • Stays with people39 h

Farm Equipment Mechanics and Service Technicians, now: of a 40-hour week, AI could take on 1 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 39 hours stay with people.

The largest pieces: Record details of repairs made and parts used (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
3%

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

Kinds of work
  • 3%
  • 0%
  • 97%
0%

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
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 3% 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, 3%. Today's estimate: 3%.

0%5%10%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: 2% within reachGPT-5, August 2025: 2% within reachGemini 3 Pro, November 2025: 2% within reachClaude Opus 4.5, November 2025: 2% within reachGPT-5.2, December 2025: 3% within reachClaude Opus 4.6, February 2026: 3% within reachClaude Mythos Preview (early), April 2026: 3% within reachToday (estimate), November 2026: 3% 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, no reportable share went to this job's tasks in May 2026; 0 of its 14 tasks showed up.

0%0.0025%0.005%20252026released February 2025: nonereleased March 2025: nonethe week of Aug 4, 2025: nonethe week of Nov 13, 2025: 0.0021%the week of Feb 5, 2026: noneApril 2026: noneMay 2026: none
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 2025nonen/a0 of 14
Released March 2025nonen/a0 of 14
The week of Aug 4, 2025nonen/a0 of 14
The week of Nov 13, 20250.0021%639 of 6721 of 14
The week of Feb 5, 2026nonen/a0 of 14
April 2026nonen/a0 of 14
May 2026nonen/a0 of 14

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 91% of this job's working time as physical work. For 15% of the working time, a robot has been shown doing most of the task somewhere: 8% in a purpose-built cell, 7% in a structured facility. 0.22 of 3, the 422nd highest of the 923 jobs.

  • Not physical 9%
  • No robot shown 76%
  • In a purpose-built cell 8%
  • In a structured facility 7%

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 . 14 tasks from .

TaskKind
Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.18%6.7 h1.7 h to 2.1 work daysStays with people
Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.17%2.5 h50 min to 5 hStays with people
Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.14%1.7 h38 min to 3.3 hStays with people
Tune or overhaul engines.Done yearly or less by most who do it. Robots: no robot shown. Anthropic's rating.13%6.7 h1.7 h to 3.1 work daysStays with people
Dismantle defective machines for repair, using hand tools.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.11%1.3 h25 min to 3.3 hStays with people
Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.6%1.7 h38 min to 3.3 hStays with people
Clean and lubricate parts.Done daily by most who do it. Robots: in a purpose-built cell, Staubli TX90 HE / RX160 washing robots in industrial washing cells (deployed). Anthropic's rating.5%38 min13 min to 1.7 hStays with people
Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.5%1.1 h25 min to 2.1 hStays with people
Fabricate new metal parts, using drill presses, engine lathes, and other machine tools.Done more than monthly by most who do it. Robots: in a purpose-built cell, CNC turning center with automatic bar feeder (Custom Tool, Cookeville TN) (Various machine tool/bar feeder builders) (deployed). Anthropic's rating.4%3.3 h1.3 h to 6.7 hStays with people
Drive trucks to haul tools and equipment for on-site repair of large machinery.Done daily by most who do it. Robots: in a structured facility, Cat MineStar Command for hauling (autonomous Cat 789D/793F/797F haul trucks) (Caterpillar) (deployed). Anthropic's rating.3%50 min25 min to 1.7 hStays with people
Record details of repairs made and parts used.Done daily by most who do it. 2%17 min8 min to 33 min100%Half by now
Repair bent or torn sheet metal.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating.2%1.7 h38 min to 3.3 hStays 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).

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 Farm Equipment Mechanics and Service Technicians is within reach of AI now?
An estimated 3% of the working time is within reach of AI models now and 3% 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 Farm Equipment Mechanics and Service Technicians 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: Record details of repairs made and parts used (100% of the task's time now); and Calculate bills according to record of repairs made, labor time, and parts used (100% of the task's time now).
Which tasks of Farm Equipment Mechanics and Service Technicians stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems; Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws; and Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary. Together such tasks are about 97% of the working time.
Do people already use AI for the work of Farm Equipment Mechanics and Service Technicians?
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 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 Farm Equipment Mechanics and Service Technicians?
Anthropic's robot exposure rating (September 2026) finds 91% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 15% of the working time, 7% in a structured facility. Its index is 0.22 of 3. One example: Cat MineStar Command for hauling (autonomous Cat 789D/793F/797F haul trucks) for "drive trucks to haul tools and equipment for on-site repair of large machinery". 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 14 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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