Share and intensity of work current AI systems can materially affect.
SOC 37-3012
Pesticide Handlers and Applicators AI displacement risk
Pesticide handlers mix chemicals and apply them to lawns, trees, and crops. Drone and targeted-spray systems now treat fields with less chemical and fewer exposure hours, but mixing, calibration, weather judgment, and the licensed accountability for what goes where remain with the applicator.
Likely potential for exposed tasks to move to software after workflow integration.
Precision-spray technology reduces volume applied rather than eliminating the applicator: someone loads, calibrates, and signs for every application. State licensing keeps the accountability human by law.
Distribution
Where Pesticide Handlers and Applicators sits across 620 tracked roles
Displacement pressure 24 — higher than 32% 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.
12 O*NET task statements matched to SOC 37-3012. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $46,340 (May 2025, US national). The latest BLS row matched SOC 37-3012.
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 Pesticide Handlers and Applicators
SOC 37-3012 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
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 Pesticide Handlers and Applicators
The current evidence import matched 12 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 tasks12
SOC37-3012
- Core task / ID 11227
Fill sprayer tanks with water and chemicals, according to formulas.
- Core task / ID 24043
Record information about pesticide applications, such as the type used and amount applied.
- Core task / ID 11228
Mix pesticides, herbicides, or fungicides for application to trees, shrubs, lawns, or botanical crops.
- Core task / ID 11231
Start motors and engage machinery, such as sprayer agitators or pumps or portable spray equipment.
- Core task / ID 11230
Lift, push, and swing nozzles, hoses, and tubes to direct spray over designated areas.
- Core task / ID 24044
Establish driving routes for pesticide applications.
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
Mix pesticides according to formulas
Exposure 36, automation 17%, augmentation 44%.
O*NET evidence: Mix pesticides, herbicides, or fungicides for application to trees, shrubs, lawns, or b... (ID 11228)
Direct spray over designated areas
Exposure 22, automation 10%, augmentation 34%.
O*NET evidence: Lift, push, and swing nozzles, hoses, and tubes to direct spray over designated areas. (ID 11230)
Identify lawn and plant diseases for treatment
Exposure 30, automation 13%, augmentation 48%.
O*NET evidence: Identify lawn or plant diseases to determine the appropriate course of treatment. (ID 20762)
Clean and service spray machinery
Exposure 20, automation 8%, augmentation 36%.
O*NET evidence: Clean or service machinery to ensure operating efficiency, using water, gasoline, lubri... (ID 11233)
TaskExposureAutomationAugmentation
Mix pesticides according to formulas3617%44%
Direct spray over designated areas2210%34%
Identify lawn and plant diseases for treatment3013%48%
Clean and service spray machinery208%36%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowLicensed Pest Control Operator
Training horizon: 12-24 months. Skill overlap 60. Wage preservation signal 118.
- Add structural-pest certification
- Build a client route
- Own compliance records
role redesign
LowLandscape Crew Supervisor
Training horizon: 6-12 months. Skill overlap 62. Wage preservation signal 114.
- Lead application crews
- Own scheduling and routing
- Manage equipment fleets
Comparison guides
Compare the next move before you commit
12-24 months
Pesticide Handlers and Applicators to Licensed Pest Control Operator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Pesticide Handlers and Applicators into Licensed Pest Control Operator.
6-12 months
Pesticide Handlers and Applicators to Landscape Crew Supervisor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Pesticide Handlers and Applicators into Landscape Crew Supervisor.
What the AI risk score means for Pesticide Handlers and Applicators
The displacement pressure score for Pesticide Handlers and Applicators is 24. 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. Mix pesticides according to formulas carries 17% automation pressure, while Identify lawn and plant diseases for treatment carries 48% 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: $46,340 (May 2025, US national). Employment context: Licensed application role with drone-spraying frontier. Typical education: High school plus state pesticide applicator license.
Wage vulnerability is 56, 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
- Drones reduce exposure hours
- Licensed accountability stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Pesticide Handlers and Applicators, 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.
Chemical safety
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.
Application precision
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.
Plant health
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.
Sprayer equipment maintenance
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 Licensed Pest Control Operator, such as add structural-pest certification.
- By 90 days, compare internal openings and external postings for Licensed Pest Control Operator or Landscape Crew Supervisor and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Pesticide Handlers and Applicators
Will AI replace Pesticide Handlers and Applicators?
Pesticide handlers mix chemicals and apply them to lawns, trees, and crops. Drone and targeted-spray systems now treat fields with less chemical and fewer exposure hours, but mixing, calibration, weather judgment, and the licensed accountability for what goes where remain with the applicator. 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 Pesticide Handlers and Applicators work are most exposed to AI?
Mix pesticides according to formulas and Identify lawn and plant diseases for treatment show the strongest automation pressure in this model. Identify lawn and plant diseases for treatment and Mix pesticides according to formulas are better treated as AI-augmented work.
What should Pesticide Handlers and Applicators learn next?
Start with Chemical safety, Application precision, Plant health. The most practical adjacent paths in this model are Licensed Pest Control Operator and Landscape Crew Supervisor.
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
OECD / 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