US dataswitch to UK
Farmers, Ranchers, and Other Agricultural Managers
collecting and recording growth, production and environmental data, maintaining financial, operational, production or employment records for farms or ranches and coordinating clerical, record-keeping, inventory, requisitioning and marketing activities. If that's your week, this page is about your job.
The honest answer
AI is already taking a real slice of the routine work here: maintaining financial, operational, production or employment records for farms or ranches. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, inspecting facilities and equipment for signs of disrepair, stays yours. The tools change hands, the accountability doesn't.
Your week, as this page understands it
Plan, direct, or coordinate the management or operation of farms, ranches, greenhouses, aquacultural operations, nurseries, timber tracts, or other agricultural establishments. May hire, train, and supervise farm workers or contract for services to carry out the day-to-day activities of the managed operation. May engage in or supervise planting, cultivating, harvesting, and financial and marketing activities. The job title says “farmers”, “ranchers” or “other agricultural managers”: officially one job, several names. The real job is the part underneath: inspecting facilities and equipment for signs of disrepair. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But farmers, ranchers, and other agricultural managers is not one task. It is 30 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is inspecting facilities and equipment for signs of disrepair, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 19%
- changing shape
- 14%
- staying human
- 67%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 33 out of 100 (28–39 allowing for uncertainty): low exposure, across 30 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for farmers, ranchers, and other agricultural managers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
5 tasksTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Preparing reports required by state and federal laws
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Prepare reports required by state and federal laws.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reports required by state and federal rules follow set formats and known figures, which software drafts well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating clerical, record-keeping, inventory, requisitioning and marketing activities
This is reading one thing and writing another: clerical, record-keeping, inventory, requisitioning and marketing activities in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Coordinate clerical, record-keeping, inventory, requisitioning, and marketing activities.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Coordinating clerical, inventory, ordering and marketing activity is mostly organizing information, which software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Maintaining financial, operational, production or employment records for farms or ranches
This is reading one thing and writing another: financial, operational, production or employment records in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Maintain financial, operational, production, or employment records for farms or ranches.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping financial, production and staffing records is standard bookkeeping that software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing market conditions to determine acreage allocations
This is reading one thing and writing another: market conditions in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Analyze market conditions to determine acreage allocations.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Weighing market prices and costs to decide how much to plant is number work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Changing shape
4 tasksTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Determining plant growing conditions, such as greenhouses, hydroponics or natural settings and setting planting and care schedules
The software now makes the first pass at plant growing conditions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Determine plant growing conditions, such as greenhouses, hydroponics, or natural settings, and set planting and care schedules.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Setting planting and care schedules from known growing conditions is planning work software does well from documented agronomy.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing soil to determine types or quantities of fertilizer required for maximum crop production
The software now makes the first pass at soil, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Analyze soil to determine types or quantities of fertilizer required for maximum crop production.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning a soil test into a fertilizer plan follows well-documented agronomy that software calculates reliably.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Providing information to customers on the care of trees
The software now makes the first pass at information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Provide information to customers on the care of trees, shrubs, flowers, plants, and lawns.” (O*NET task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Plant and lawn care advice is abundantly documented, so software answers most customer questions well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Staying human
21 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Collecting and recording growth, production and environmental data
This work happens in the physical world: growth, production and environmental data, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Collect and record growth, production, and environmental data.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Recording growth and weather data is easy for software, but somebody still has to be in the field taking readings.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining how to allocate resources and to respond to unanticipated problems
The ratings behind this row put how well outside what today's tools can do on their own.
importance 4 · CoreSource: “Determine how to allocate resources and to respond to unanticipated problems, such as insect infestation, drought, and fire.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Software can weigh the data behind spending and drought or pest responses, but the call depends on local knowledge.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Managing nurseries that grow horticultural plants for sale to trade or retail customers
This work happens in the physical world: nurseries, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Running a nursery covers buying, growing, pricing and selling decisions that depend on the plants and site in front of you.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Show the other 20 tasks
Evaluating marketing or sales alternatives for products
shifting to AIThis is reading one thing and writing another: sales alternatives in, a record out. That is the shape today's tools are built for.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Evaluate marketing or sales alternatives for products.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing marketing and sales options is research and number work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining types or quantities of crops
changing shapeThe software now makes the first pass at types, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Determine types or quantities of crops, plants, or livestock to be grown and raised, based on budgets, federal incentives, market conditions, executive directives, projected sales volumes, or soil conditions.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Choosing what to grow or raise weighs budgets, prices and soil data, but the final call rests on local conditions.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining, administering and executing policies relating to operations administration and standards, facility maintenance and safety
staying humanThe ratings behind this row put policies well outside what today's tools can do on their own.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Determine, administer, and execute policies relating to operations administration and standards, facility maintenance, and safety.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing operating, maintenance and safety policies is document work; getting them followed still needs a manager on the farm.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Obtaining financing for and purchasing necessary machinery
staying humanThe value here is that a specific person handles and purchasing necessary machinery and stands behind it. That is earned, not computed.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Obtain financing for and purchase necessary machinery, land, supplies, or livestock.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Arranging finance and buying machinery, land or stock involves lots of document work, though deals rest on dealing with lenders.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Positioning and regulating plant irrigation systems
staying humanThis work happens in the physical world: plant irrigation systems, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Position and regulate plant irrigation systems, and program environmental and irrigation control computers.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Programming irrigation controllers is screen work, but positioning pipes and emitters in the field is not.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Replacing chemical insecticides with environmentally friendly practices
staying humanThis work happens in the physical world: chemical insecticides, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Replace chemical insecticides with environmentally friendly practices, such as adding pest-repelling plants to fields.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Choosing pest-repelling plants instead of sprays is documented practice, but putting them in the ground is field work.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring environments to ensure maintenance of optimum animal or plant life
staying humanThis work happens in the physical world: environments, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Monitor environments to ensure maintenance of optimum animal or plant life.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Watching conditions to keep plants or animals healthy is largely sensor and data work, though someone must respond on site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Negotiating with buyers for the sale
staying humanThe value here is that a specific person handles buyers and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Negotiate with buyers for the sale, storage, or shipment of crops or livestock.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Software can prepare prices and terms, but closing a sale with a buyer you deal with repeatedly rests on the relationship.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Devising and participating in activities to improve fish hatching and growth rates
staying humanThis work happens in the physical world: activities, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Devise and participate in activities to improve fish hatching and growth rates, and to prevent disease in hatcheries.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Improving hatch rates and preventing fish disease mixes documented method with hands-on hatchery work.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Directing the breeding or raising of stock
staying humanThis work happens in the physical world: the breeding or raising of stock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Direct the breeding or raising of stock, such as cattle, poultry, or honeybees, using recognized breeding practices to ensure stock improvement.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Breeding decisions rest on judging particular animals and handling stock, which needs a stockperson present.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Hiring, supervising and training support workers
staying humanThis work happens in the physical world: support workers, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Hire, supervise, and train support workers.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Hiring and training farm staff involves paperwork software can draft, but judging and teaching people happens face to face.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conducting inspections to determine crop maturity or condition or to detect disease or insect infestation
staying humanThis work happens in the physical world: inspections, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Conduct inspections to determine crop maturity or condition or to detect disease or insect infestation.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Checking crops for ripeness, disease or insects usually means walking the field and looking closely, though photos help.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Monitoring activities, such as irrigation, chemical application, harvesting, milking, breeding and grading
staying humanThis work happens in the physical world: activities, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Monitor activities, such as irrigation, chemical application, harvesting, milking, breeding, and grading, to ensure adherence to safety regulations or standards.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Checking that irrigation, spraying, milking and harvesting are done safely means being there to see it.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Directing and monitoring trapping and spawning of fish
staying humanThis work happens in the physical world: fish, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, applying knowledge of management and fish culturing techniques.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Fish spawning and fry rearing is close, hands-on hatchery work with living animals.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Directing and monitoring the transfer of mature fish
staying humanThis work happens in the physical world: the transfer of mature fish, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Direct and monitor the transfer of mature fish to lakes, ponds, streams, or commercial tanks.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Moving mature fish to ponds or streams is physical work with live animals and equipment.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Conducting or supervising stock examinations to identify diseases or parasites
staying humanThis work happens in the physical world: stock examinations, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Conduct or supervise stock examinations to identify diseases or parasites.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Examining animals for disease or parasites means handling the stock.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Directing crop production operations, such as planning, tilling, planting, fertilizing, cultivating, spraying and harvesting
staying humanThis work happens in the physical world: crop production operations, in a real place. Software cannot follow it there.
importance not publishedO*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Direct crop production operations, such as planning, tilling, planting, fertilizing, cultivating, spraying, and harvesting.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Directing tilling, planting, spraying and harvesting means being out with the crew and machinery.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Supervising the construction of farm or ranch structures
staying humanThis work happens in the physical world: the construction of farm, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Supervise the construction of farm or ranch structures, such as buildings, fences, drainage systems, wells, or roads.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Overseeing building of sheds, fences, wells or roads means being on site while the work happens.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Coordinating the selection and maintenance of brood stock
staying humanThis work happens in the physical world: the selection, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Coordinate the selection and maintenance of brood stock.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (2–10 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Choosing and looking after breeding stock depends on judging individual animals by eye and hand.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Inspecting facilities and equipment for signs of disrepair
staying humanThis work happens in the physical world: facilities, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Walking the property to spot disrepair and then fixing it is hands-on work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
What this job pays, and how many people do it
- Median pay
- $89,900a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 6,500in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: financial, operational, production or employment records in, a record out. The rows above are exactly that shape: maintaining financial, operational, production or employment records for farms or ranches and preparing reports required by state and federal laws. What it cannot do is be there in the room, and that is still where facilities get done. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Start with what does not change: inspecting facilities and equipment for signs of disrepair is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 19% of this job's task weight sits in rows the software is already learning, 14% in rows that change shape rather than disappear, and 67% in rows it is nowhere near. That is the position, measured across 30 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Maintaining financial, operational, production or employment records for farms or ranches is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to financial, operational, production or employment records, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether growth, production and environmental data are in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near determining plant growing conditions, such as greenhouses, hydroponics or natural settings and setting planting and care schedules. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to farmers, ranchers, and other agricultural managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was farmworkers and laborers, crop, nursery, and greenhouse: only about 11% of its durable work is work you already do and it pays 60.3% less. And on the numbers you do not need one. This job scores 33/100 here, with only 19% of the task list in the top band, and “collect and record growth, production, and environmental data” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
Farmworkers and Laborers, Crop, Nursery, and Greenhouse
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already position and regulate plant irrigation systems, and program environmental and irrigation control computers, and their equivalent is to set up and operate irrigation equipment. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $35,660 against your $89,900, 60.3% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
First-Line Supervisors of Farming, Fishing, and Forestry Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work, and their equivalent is to inspect facilities to determine maintenance needs. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $59,320 against your $89,900, 34.0% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Landscaping and Groundskeeping Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already provide information to customers on the care of trees, shrubs, flowers, plants, and…, and their equivalent is to plant seeds, bulbs, foliage, flowering plants, grass, ground covers, trees, or shrubs, and…. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $39,150 against your $89,900, 56.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 19% of its task weight, across 30 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like inspecting facilities and equipment for signs of disrepair arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
If you run a team doing this job
If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are maintaining financial, operational, production or employment records for farms or ranches, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Managers and proprietors in agriculture and horticulture is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
The other groups this work is counted across:
In UK official statistics this job is counted as Managers and proprietors in agriculture and horticulture and Managers and proprietors in forestry, fishing and related services. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for farmers / ranchers / other agricultural managers, and we are not going to point you at the nearest one and call it a fit.
There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 19% of the work on this page is already inside what they can do.
7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.
The AI Authority is a general community about working with AI, not a course for farmers / ranchers / other agricultural managers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.
Noted, and thank you. We’ll email you if a Space for farmers / ranchers / other agricultural managers launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.
No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace Farmers, Ranchers, and Other Agricultural Managers?
- Not as a job, but it is already doing parts of the work. Across the 30 official task statements scored for Farmers, Ranchers, and Other Agricultural Managers (United States, SOC 11-9013), 19% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 33 out of 100 (range 28–39, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “Farmers, Ranchers, and Other Agricultural Managers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Maintain financial, operational, production, or employment records for farms or ranches” (75/100, high); “Analyze market conditions to determine acreage allocations” (75/100, high); “Evaluate marketing or sales alternatives for products” (75/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “Farmers, Ranchers, and Other Agricultural Managers” stay human?
- About 67% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work” (0/100, minimal); “Coordinate the selection and maintenance of brood stock” (6/100, minimal); “Supervise the construction of farm or ranch structures, such as buildings, fences, drainage systems, wells, or roads” (7/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “Farmers, Ranchers, and Other Agricultural Managers” do about AI?
- Start from the ledger rather than the headline: 19% of this job's weighted core work is exposed, and roughly 67% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for Farmers, Ranchers, and Other Agricultural Managers calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 30 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
Worth knowing about these figures
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt-with-imputed)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.