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The farm manager whose system the whole place uses

$174,810top of the range in California · middle $89,900 / yr
AI augments this role

Farm Managers in the United States earn a median of $89,900 a year. Pay starts near $54,320. Pay reaches $174,810 at the top of the range in California, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Farmers, Ranchers, and Other Agricultural Managers, SOC 11-9013). Last checked 9 September 2026.

Entry level
$54,320
Top of the range · California
$174,810
Education
Bachelor's degree in Agriculture
Lower disruption Higher exposure AI augments this role
Entry · $54,320 Top of range · $174,810 (California) Middle $89,900

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Farmers, Ranchers, and Other Agricultural Managers). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Farm ManagerReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Farm Manager work right now.

Julius AINEWFree / $20 mo

AI data analyst that runs statistics and charts from plain-language prompts.

How a Farm Manager uses it: analyze datasets and generate figures without writing code

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Farm Manager uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

ElicitFree / $12 mo

AI research assistant that finds and summarizes papers.

How a Farm Manager uses it: run a literature review and extract findings across dozens of papers fast

ConsensusFree / $9 mo

AI search that answers questions from peer-reviewed research.

How a Farm Manager uses it: get evidence-backed answers with the studies behind them

SciSpaceFree / paid

AI that explains papers and helps with literature review.

How a Farm Manager uses it: decode dense papers and trace citations quickly

SciteFree / $20 mo

Shows whether other studies support or contradict a paper's claims (Smart Citations).

How a Farm Manager uses it: check if a finding is actually backed by the wider literature before you cite it

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Farm Manager uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Farm Manager uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

Google GeminiFree / $20 mo

Google's AI assistant, built into Gmail, Docs, and Search.

How a Farm Manager uses it: draft and reply inside Google Workspace and research without leaving the page

Somebody has to decide before the crew arrives

You are the person the farm calls when the plan for the day is still a guess. The sky looks workable, a tractor sat out with a warning light yesterday, and a buyer wants a load that may or may not be ready. A farm manager turns that mess into an order: which field, which crew, which machine, and which job waits until tomorrow. The title covers crops, livestock, or a mix, and the morning still starts the same way. Somebody walks the place, or drives it, before the rest of the payroll clocks in.

On a crop operation the decisions are about timing. Ground that is too wet will rut and cost you the next three passes. A spray window can close by afternoon. Harvest waits on moisture, on trucks, and on whether the dryer can keep up. You are not out there to admire the stand. You are out there to choose. On a livestock place the early loop is water, feed, and animals that do not look like they did yesterday. A sick pen, a broken float, a gate left open: small things become expensive if they sit until a convenient hour. You notice them because noticing is the job.

Then the people arrive. Seasonal crews, family members, a custom operator who is fitting you between two other farms. You assign work in language people can follow, and you check back before the mistake is a whole field wide. A manager who only appears at lunch hears the version of the morning everyone has already agreed to tell. A manager who is present early hears the truth while it can still be fixed. That presence is what owners are actually buying, even when the job posting talks about leadership in the abstract.

Labor, weather, markets, and the books

The middle of the day is a stack of ordinary problems that all want to be first. Parts for a planter. A driver who did not show. Fuel that was supposed to be delivered. A lender who wants an updated projection before releasing the next draw. You keep a running sense of cost per acre or cost per head, even when the formal books live with an accountant. If you cannot say, roughly, what this week is spending, you are managing a landscape and not a business. Owners forgive a weather loss more easily than they forgive a surprise invoice nobody saw coming.

Buying and selling sit in the same chair as the fieldwork. Seed, feed, fertilizer, medicine, and repairs all have a price that moves. So does the crop or the livestock you will sell. A good manager knows the difference between a deal that fits this year's cash and a deal that only looks clever in a catalog. You talk with suppliers who have known the farm for years, and you still get a second number. Loyalty is useful. An unexamined price is not a strategy. The same habit applies when you market grain, hay, milk, or animals: know your cost before you fall in love with a bid.

Paperwork is part of the craft, not a punishment after the real work. Worker records, chemical logs where the law requires them, insurance notices, lease terms, and the notes that explain why a field was replanted. Some tasks on a farm, including application of restricted pesticides, can require a separate state credential held by the person who does that work or supervises it. The manager title itself usually has no single national licence. What you can show instead is a record: yields, death loss, repair costs, and a season you can explain without waving your hands. That record is what the next owner, or the same owner next year, will trust.

Weather still gets a vote. You build a week that can bend. If rain wipes out the planting day, the crew needs a useful indoor or shop job, not a vague instruction to stay busy. If heat forces livestock chores earlier, the schedule moves, and so do the water checks. People remember the manager who had a backup plan. They also remember the one who blamed the sky for a week that was never organized in the first place. Skill is the habit of deciding again, calmly, when the first decision dies at dawn. The year has a shape you should be able to describe without a brochure. Planting or calving compresses everything. Midseason is maintenance, people, and the quiet costs that do not show up in a yield photo. Harvest or shipping is when the earlier choices get priced. A manager who only looks heroic in the busy month, and who lets the books and the machines slide in the quieter one, is expensive. Build the quiet month on purpose: repairs, training, leases, and the conversations with buyers you wish you had started sooner.

Getting hired by an owner or a board

Hiring on a farm is personal because the owner is often trusting you with land that has a family name on the deed, or with a corporate budget that still fails in public if the crop fails. They will ask what you have actually run. Acres, head of livestock, size of crew, and whether you were the person who signed for the inputs or only the person who drove the tractor. Be precise. A season as the lead on one enterprise is stronger than a vague claim that you grew up around agriculture. If you grew up on a place, say what decisions were yours. Childhood proximity is not a management resume.

Some candidates bring a degree in agriculture, animal science, agronomy, or business. That helps when the books and the agronomy are both part of the seat. It does not replace a year in which you had to keep people and machines moving. Other candidates bring the years and need to show they can sit with a spreadsheet and a lender without bluffing. Bring both kinds of proof if you have them: a short packet of results you are allowed to share, and the names of owners or supervisors who saw you make a hard call. Ask those people before you list them. Farm communities are small, and a surprised reference is a bad one.

You should interview the operation with the same plainness. Who owns the decisions about marketing. Whether you will hire and fire, or only schedule a crew the owner still controls. What the housing situation is, if housing is part of the offer. How the last manager left. What cash looks like in a bad year, and whether you are expected to go without pay when it does. A beautiful farm with no authority and a muddy bonus plan is a different job from a modest place where you truly manage. Get the authority in writing. Handshake deals feel traditional until the heir, the board, or the bank arrives with a different memory.

From a trusted hand to the person who signs

Most managers were useful with their hands first. You learned a crew, then you learned why the crew was scheduled that way, then someone let you build the schedule. The jump that matters is from doing the task well to choosing which task gets the labor. Assistant manager, enterprise lead, or the informal role of the person who already runs Saturdays: those are the seats where owners test you. Take them seriously. Keep notes on costs and on what you would have done differently. When the manager job opens, you want a story that is specific enough to survive a kitchen-table conversation.

On larger operations the path can look more like any other business. A trainee year, a single site, then several sites, then a regional role that spends more time on people and capital than on the tractor seat. That path still fails if you lose the ability to see a problem in the field. The best multi-site managers can walk a barn or a pivot and tell whether the local lead is telling the truth. They hire people who want responsibility, and they remove people who create quiet losses. They also know when to stay out of a task a skilled hand does better. Ego is expensive in a machine shed.

Some managers later rent or buy ground and become owners. That is a capital decision, not a promotion you are owed for working hard. If ownership is the aim, learn the lease, the debt, and the marketing while you are still on someone else's payroll. If you want to stay a hired manager, say so, and negotiate a wage and a bonus that reflect the value of staying. A farm that only rewards people by hinting they might inherit something is asking you to gamble. You can love the work and still ask for a number. Keep a simple year-end note for yourself: acres or head, crew size, what you changed, and what it cost or saved. That note becomes the story you tell the next time a seat opens, and it keeps you from shrinking five seasons into the sentence that you work hard. Owners hire the person who can point at a result. The note is how you remember the result accurately when the season that produced it is already behind you.

May 2025 pay, with California at the high end

The wages here are Occupational Employment and Wage Statistics for May 2025, for Farmers, Ranchers, and Other Agricultural Managers. Entry pay is $54,320. The national median is $89,900. The gap between those two is $35,580. An offer near $54,320 belongs to the low end of the published range, the kind of number you might see in a first management seat or in a package that leans on housing and a bonus. An offer near $89,900 is the middle of the country. Put your years, your authority, and the enterprises you will actually run next to those two figures before you decide the offer is generous or thin.

The high end of the published range is $174,810, and it is in California, in the locations the Bureau could include when it reported a high end. The distance from the national median up to that high end is $84,910. Treat $174,810 as the top of the range in that state, not as the wage a typical manager there should assume is waiting. A recruiter who slides that top figure under an ordinary offer is using the wrong point on the line. Ask which responsibilities sit at the high end: several enterprises, a large crew, marketing authority, or a region. If the job is one crew and a single crop, argue from $89,900 and from $54,320, and let the California top stay where it belongs.

Housing, a share of the calf crop, a truck, health coverage, and a bonus tied to yield or cost control can matter as much as the base. Write each one down in dollars you can verify, then set the base beside $54,320 and $89,900 so you can see the shape of the year. A bonus that pays only in a perfect season is hope. A housing benefit you would otherwise pay rent for is real, if the house is actually available and the terms are clear. Do not let a round top-end number from California talk you into a vague package at home. The Bureau's entry, median, and high end are enough to keep the conversation honest, and your own cost of living the rest of the year will tell you whether the honest number is enough.

The top of Farm Manager pay — and how to get there with AI

$174,810what Farm Manager pay reaches in California

Highest state-level top-of-range annual wage for Farmers, Ranchers, and Other Agricultural Managers, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Industrial Production Managers — reaches $230,410 in Colorado.

$54,320entry$89,900middle$174,810top end

The farm manager at the top of this range can produce cost and yield for any field, any line of stock, any month, in about a minute; the one in the middle knows it roughly and has to go and look.

Maintaining financial, operational, production and employment records, preparing the reports state and federal law requires, programming the environmental and irrigation control computers, and negotiating with buyers over sale, storage and shipment are treated as separate chores held in separate places. Joined up, they become an operating system: one that tells you cost per acre by field, performance by breeding line, and exactly which number went into which filing. Building that puts you in the room where price and capital get decided, and automation tools now do the tedious half of it without anyone writing code.

Your playbook, by where you are now

Just startingOne place for the records

  1. Stop keeping production, spray and labour records in three notebooks and put them in a single Microsoft Excel workbook keyed by field and date.
  2. Get as-applied and yield data off the equipment and into Ag Leader Technology SMS Advanced instead of leaving it on a monitor in the cab.
  3. Log irrigation set points and every change made to the environmental and irrigation control computers, with the reason beside it.
  4. Write down what each state and federal report required and where the figure came from, so next year's filing is a lookup rather than a search.

What proves it: A season closed out with field-level records nobody had to reconstruct.

Realistic span: your first two seasons

A few years inMake it something other people open

  1. Rebuild the workbook so a foreman can enter a day's work in two minutes without calling you to ask where it goes.
  2. Add a cost-per-acre view by field and crop, and a breeding record that shows performance by line rather than by anecdote.
  3. Automate the repeating chores with Power Automate or Zapier: weather pulls, filing deadlines, invoice routing.
  4. Ask Claude to write the formulas and validation checks you cannot, then test them against a season whose answers you already know.
  5. Move anything the workbook can no longer carry into Microsoft Access or Ag Connections Land.db before it falls over.

What proves it: A tool your foremen and your accountant both use without you in the room.

Realistic span: seasons three through six

ExperiencedNegotiate and hire around it

  1. Take field-level cost and yield into talks with buyers so price discussions start from your figures rather than theirs.
  2. Argue capital from the same record: irrigation, drainage, structures, fencing, and what each one returned.
  3. Train a successor on the system and let them run a full season while you watch, because an operation that stalls without you is worth less to its owner.
  4. Carry the system to a larger operation or into production management, where the same discipline is paid on a different scale; North Carolina pays this occupation best.

What proves it: A sale negotiated, or capital approved, on numbers your system produced.

Realistic span: from about year seven

The next 90 days

Choose the single most expensive thing you manage, whether that is a crop, a herd or the irrigation, and give it one clean record for ninety days. Every input, every hour of labour, every machine pass, every set point change, dated and attributed. Nothing fancy: one sheet, entered daily, never reconstructed. At the end you will be able to state its true cost and its true output rather than estimate them, and you will know which fields or lines subsidise which. That single sheet is also the prototype for everything else, and it is the reason an owner starts asking you what the operation should do next instead of telling you.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Farm Manager

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Start in the farm-data platform your equipment already feeds — Climate FieldView or John Deere Operations Center. Your machines are generating yield, planting, and application maps; the pay lever is actually using them to vary inputs by zone instead of blanketing the field. Turn on the maps, and use them to build one variable-rate prescription this season. That's precision spending, and precision spending is margin.

For free leverage, use ChatGPT, Claude, or Perplexity to interpret a soil test, decode a USDA program rule, or run a marketing scenario in plain terms, and EOS Crop Monitoring or OneSoil (free tiers) for satellite field views. Ground-truth everything with your own boots in the field, and keep it out of consumer tools if it's confidential lease or financial data.

The one rule, forever: AI is decision support, not an agronomist, veterinarian, or financial advisor. Never apply a pesticide, seeding, or nutrient rate an AI suggests without confirming the product label, your state's regulations, and your own soil or tissue tests — the label is the law. Verify every market, lease, and lender number against real quotes, keep livestock health calls with a licensed vet, and never make an irreversible spray, breeding, or marketing decision on an AI recommendation alone.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Turn field data into variable-rate decisions
Why this pays: Blanket-rate inputs waste money on your best and worst ground alike. Using yield and soil data to vary seed and fertilizer by zone cuts input cost and lifts yield where it pays — the per-acre margin that separates a $174,810 operation from a break-even one.
Climate FieldViewJohn Deere Operations CenterEOS Crop Monitoring
1
Pull last season's yield maps in Climate FieldView or John Deere Operations Center and overlay soil and imagery to define management zones.
2
Use AI to design a variable-rate strategy and a way to prove it worked.
Copy-paste this prompt
Act as an agronomy analyst. I farm [1,200 acres of corn and soybeans] in [county, state] on [soil types]. My yield map shows [describe zones: low-yield sandy knolls, high-yield bottoms]. Propose a variable-rate seeding and nitrogen strategy by zone, the data layers I should collect to validate it, and how to A/B test it with check strips this season.
Ground-truth every zone with soil tests and your own scouting — AI can't see compaction, drainage, or your planter's real capabilities.
What you'll haveInputs spent where they earn a return — the precision margin that drives profit per acre toward the top of the range.
2
Scout every acre from the sky
Why this pays: Catching a pest, disease, or irrigation failure days earlier can save an entire field. AI-flagged satellite and drone scouting lets one manager monitor more acres more often than any walk-through — protecting the revenue that a lost crop would erase.
OneSoilTaranisDJI Terra
1
Set up OneSoil or Taranis to flag NDVI/vegetation anomalies across your fields, and fly a DJI drone to inspect flagged spots up close.
2
Use AI to turn an anomaly into a scouting and action plan.
Copy-paste this prompt
My satellite imagery shows a [declining NDVI patch] in a [V6 corn field] in [region], [weather conditions recently]. List the most likely causes ranked by probability (pest, disease, nutrient, water, equipment skip), what to look for in-field to confirm each, and which are time-sensitive enough to act on within 48 hours.
This narrows where to look — confirm the actual cause in the field and with your agronomist before applying anything; the label and local rules govern any spray.
What you'll haveProblems caught while they're still fixable — protected yield and lower scouting labor across more acres.
3
Sharpen grain and livestock marketing
Why this pays: More farms are lost to poor marketing than poor agronomy. Using AI to model sell-versus-store and basic hedging scenarios against your real breakeven is the highest-dollar decision on the farm — and the clearest path to the $174,810 tier.
DTNChatGPTPerplexity
1
Track cash bids, basis, and futures in DTN, and use Perplexity to pull current market context and USDA report dates.
2
Use AI as a marketing coach to lay out scenarios before you call your merchandiser.
Copy-paste this prompt
Act as a grain marketing coach, not a broker. Corn is [$X] cash bid at my local elevator, my breakeven is [$Y] per bushel, and I have [30,000] bushels unpriced with storage available until [March]. Walk me through 3 scenarios — sell now, store and sell later, and a basic hedge — with the risks of each and the specific questions to bring to my grain merchandiser and lender.
This is education, not financial advice — confirm every basis, storage cost, and hedge with your elevator and lender before acting; markets move against confident-sounding AI.
What you'll haveMarketing decisions made against your real numbers, not gut feel — the profit lever with the biggest swing on total income.
4
Control input and ration costs
Why this pays: Fertilizer, feed, and fuel are the largest controllable costs on most operations. Using AI to pressure-test rates, rations, and purchase timing keeps those costs down without cutting production — margin that flows straight to the top line.
ChatGPTClaudeClimate FieldView
1
Feed your soil tests, yield goals, and current prices into AI to sanity-check your input plan.
Copy-paste this prompt
I'm planning [nitrogen for a 200 bu/acre corn goal] on [soil type] with a soil test showing [values]. Given N is priced at [$/unit], help me evaluate whether my planned rate is economically optimal: explain the concept of economic optimum N rate, what a university N calculator would consider, and the questions to ask my agronomist. General guidance only.
Use university extension calculators and your agronomist for the actual rate — AI doesn't know your local response curves or regulations.
2
Use AI to compare input-purchase timing and financing options, then confirm real quotes with your supplier.
What you'll haveYour biggest costs held down without hurting yield — a wider margin on every acre and every head.
5
Win the programs and paperwork most managers skip
Why this pays: USDA conservation and cost-share programs are real money left on the table because the paperwork is daunting. AI makes applications and recordkeeping fast, capturing payments and compliance that add directly to the operation's bottom line.
ChatGPTClaudePerplexity
1
Use AI to map out eligibility and deadlines for the programs that fit your operation.
Copy-paste this prompt
Summarize the eligibility and application steps for [USDA EQIP / CSP / a named state cost-share program] for a [row-crop / cow-calf] operation. List the conservation practices that typically score well, the records I need to gather, and a timeline to apply before the ranking deadline. Point me to the official NRCS page to verify.
Verify every rule on the official USDA/NRCS site or with your local FSA/NRCS office — program terms change yearly and AI may be out of date.
2
Use Claude to draft H-2A labor documentation, lease summaries, and recordkeeping templates, then have a professional review anything binding.
What you'll haveProgram payments captured and compliance handled — found money that lifts total farm income.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $174,810 tier.

Month 1
Turn on your farm-data platform and build one variable-rate prescription from last season's yield maps. Set up free satellite monitoring.
Months 2-3
Run AI-assisted grain marketing scenarios against your real breakeven, and pressure-test your input plan before you buy.
Months 3-6
Systematize scouting with satellite/drone + AI diagnosis, and apply for a USDA or state program before its deadline.
Months 6-12
Track margin per acre by field, expand variable-rate to more inputs, and use the data to justify managing more acres or a higher-value enterprise.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Niland / Elam, Fundamentals of Industrial Hygiene, 7th ed.

Same live NSC Jan 2021 FIH already on industrial-hygienist / health-inspector / asbestos-removal-worker / environmental-health-specialist / mold-remediation-specialist / automotive-painter / floor-sander / insulation-worker / painter / stucco-mason / landscaper / pest-control-technician / sandblaster / golf-course-superintendent / landscape-foreman / tile-cleaner / environmental-inspector / dry-cleaner / pressure-washer-technician / window-cleaner / rug-cleaner / power-washer / housekeeper / maid / lawn-care-specialist (ASIN 0879123567). This leftover page is BLS Farmers, Ranchers, and Other Agricultural Managers (SOC 11-9013); play 1 is Turn field data into variable-rate decisions; play 4 is Control input and ration costs; start-here is Start in the farm-data platform your equipment already feeds; one-rule is Never apply a pesticide, seeding, or nutrient rate an AI suggests without confirming the product label, your state's regulations, and your own soil or tissue tests — the label is the law. Occupational-hygiene instructional text for leftover SDS / pesticide / nutrient-label / applicator work — not leftover Gould as the lead (that is paving-operator / woodworker / chimney-sweep) and not leftover CIH as an exam dump. Confirm 0879123567. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 2:50 AM PT. Source page: painter.

Next steps for a Farm Manager

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Farm Manager work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Farmers, Ranchers, and Other Agricultural Managers (SOC 11-9013). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.

The occupation's listed knowledge areas include Production and Processing and Biology; the links search those subjects, not a generic 'career courses' list.

Farm Managers in this dataset list Atlassian Confluence among the tools in use, so a program that names that stack is a better fit than a survey course.

Production And Processing programs on Coursera for Farm Manager work

Coursera search for production and processing — a professional certificate or bachelor's-level coursework that lines up with management, not a generic professional-development aisle.

Production And Processing courses on edX

edX search for production and processing, aimed at management (SOC 11-9013). Same field as the Coursera link, different university catalog.

Screened remote and flexible Farm Manager listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Farm Manager work, not a claim that they list a counted SOC 11-9013 inventory.

Build a Farm Manager resume on Resume Now

Write a Farm Manager resume, or one aimed at Industrial Production Managers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Farm Manager resume on Zety

A Farm Manager resume that names the actual tasks on this page, or the step-up title Industrial Production Managers, beats a blank template when you apply.

What Farm Managers earn by state

This page does not show a state table, and the reason is worth stating: the Bureau publishes this occupation nationally, but fewer than five states employ enough people in it to report a median we would stand behind. Scaling the national median by a cost-of-living index would produce a number for every state, but it would be an estimate of living costs wearing a wage’s clothes, and PayCrunch would rather show you nothing than that.

What the national figures say: pay starts near $54,320, the median is $89,900, and the top of the range is $174,810. Those national figures come from U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

If you want to see how far state pay can move for jobs the Bureau does publish state-by-state, the best-paying state for every occupation is a free open dataset, and the salary-by-state statistics page summarises the pattern across all 824 of them.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace farm managers?
No. AI can flag a stressed field and model a marketing scenario, but it can't feel the soil in your hand, judge whether the ground is fit to plant, fix a planter at 10pm, or take responsibility for a spray decision. Farming is judgment under weather, biology, and markets that don't read the forecast. AI is the analyst; you're the manager who decides. The ones who use it run more acres for better margin.
Is it safe to act on an AI agronomy recommendation?
Only after you verify it. AI doesn't know your local response curves, your equipment's limits, or current pesticide regulations, and the product label is the legal authority on any application. Use AI to think through options and prep questions, then confirm with soil tests, your agronomist, and university extension before you commit inputs you can't take back.
Can AI help me market my grain better?
Yes, as a coach — not a broker. It can lay out sell-versus-store and basic hedging scenarios against your breakeven and help you prepare for the conversation with your merchandiser and lender. But it's not licensed financial advice and can't see the future; verify every basis and cost, and make the actual trade with your elevator and lender.
Do I need expensive precision-ag software to benefit?
Not to start. Your equipment may already feed Climate FieldView or John Deere Operations Center, and EOS Crop Monitoring and OneSoil have free satellite tiers. Paired with ChatGPT for interpretation, that's enough to make real variable-rate and scouting decisions before you invest in anything bigger.
How does AI actually raise a farm manager's pay?
By improving margin per acre and per head, which is what higher-paid managers are measured on. Precise inputs cut waste, earlier scouting protects yield, sharper marketing captures better prices, and program paperwork brings in payments others miss. Do those across more acres and you're managing a top-of-range operation.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources