Share and intensity of work current AI systems can materially affect.
SOC 11-9013
Farmers and Ranchers AI displacement risk
Farmers and ranchers run land, livestock, and finances as one business. Autosteer tractors, drone scouting, and sensor-monitored herds now generate and act on data continuously — but deciding what to plant, when to sell, and how to survive a drought year is judgment that no platform owns.
Likely potential for exposed tasks to move to software after workflow integration.
Precision agriculture raises output per operator rather than removing the operator: someone owns the land, the debt, and the weather risk. The real squeeze is consolidation and labor scarcity, which makes automation adoption a survival strategy, not a threat.
Distribution
Where Farmers and Ranchers sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 11-9013. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $89,900 (May 2025, US national). The latest BLS row matched SOC 11-9013.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Farmers and Ranchers
SOC 11-9013 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Farmers and Ranchers
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC11-9013
- Core task / ID 21370
Collect and record growth, production, and environmental data.
- Core task / ID 21371
Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.
- Core task / ID 21372
Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, applying knowledge of management and fish culturing techniques.
- Core task / ID 21373
Direct and monitor the transfer of mature fish to lakes, ponds, streams, or commercial tanks.
- Core task / ID 21374
Determine how to allocate resources and to respond to unanticipated problems, such as insect infestation, drought, and fire.
- Core task / ID 21375
Determine plant growing conditions, such as greenhouses, hydroponics, or natural settings, and set planting and care schedules.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Determine resource allocation and respond to drought or infestation
Exposure 30, automation 11%, augmentation 56%.
O*NET evidence: Determine how to allocate resources and to respond to unanticipated problems, such as i... (ID 21374)
Collect and record growth, production, and environmental data
Exposure 58, automation 33%, augmentation 60%.
O*NET evidence: Collect and record growth, production, and environmental data. (ID 21370)
Set planting and care schedules for growing conditions
Exposure 38, automation 17%, augmentation 54%.
O*NET evidence: Determine plant growing conditions, such as greenhouses, hydroponics, or natural settin... (ID 21375)
Direct and monitor breeding, hatching, or rearing operations
Exposure 22, automation 8%, augmentation 44%.
O*NET evidence: Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, appl... (ID 21372)
TaskExposureAutomationAugmentation
Determine resource allocation and respond to drought or infestation3011%56%
Collect and record growth, production, and environmental data5833%60%
Set planting and care schedules for growing conditions3817%54%
Direct and monitor breeding, hatching, or rearing operations228%44%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowPrecision Agriculture Manager
Training horizon: 3-6 months. Skill overlap 66. Wage preservation signal 114.
- Own farm data platforms
- Optimize variable-rate applications
- Manage drone scouting
role redesign
LowAgricultural Operations Consultant
Training horizon: 6-12 months. Skill overlap 62. Wage preservation signal 118.
- Serve neighboring operations
- Advise on technology ROI
- Broker equipment-sharing deals
Comparison guides
Compare the next move before you commit
3-6 months
Farmers and Ranchers to Precision Agriculture Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Farmers and Ranchers into Precision Agriculture Manager.
6-12 months
Farmers and Ranchers to Agricultural Operations Consultant
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Farmers and Ranchers into Agricultural Operations Consultant.
What the AI risk score means for Farmers and Ranchers
The displacement pressure score for Farmers and Ranchers is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Collect and record growth, production, and environmental data carries 33% automation pressure, while Collect and record growth, production, and environmental data carries 60% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $89,900 (May 2025, US national). Employment context: Owner-operator role adopting precision agriculture fastest. Typical education: Extensive experience; degree increasingly common.
Wage vulnerability is 40, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Autosteer and sensors are standard equipment
- Consolidation is the real headcount force
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Farmers and Ranchers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Farm business management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Precision agriculture
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Market timing
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Livestock management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Precision Agriculture Manager, such as own farm data platforms.
- By 90 days, compare internal openings and external postings for Precision Agriculture Manager or Agricultural Operations Consultant and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Farmers and Ranchers
Will AI replace Farmers and Ranchers?
Farmers and ranchers run land, livestock, and finances as one business. Autosteer tractors, drone scouting, and sensor-monitored herds now generate and act on data continuously — but deciding what to plant, when to sell, and how to survive a drought year is judgment that no platform owns. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Farmers and Ranchers work are most exposed to AI?
Collect and record growth, production, and environmental data and Set planting and care schedules for growing conditions show the strongest automation pressure in this model. Collect and record growth, production, and environmental data and Determine resource allocation and respond to drought or infestation are better treated as AI-augmented work.
What should Farmers and Ranchers learn next?
Start with Farm business management, Precision agriculture, Market timing. The most practical adjacent paths in this model are Precision Agriculture Manager and Agricultural Operations Consultant.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics