SOC 37-2021

Pest Control Workers AI displacement risk

Inspecting crawl spaces, identifying infestations, and applying treatments is licensed fieldwork in unpredictable structures. Scheduling and monitoring sensors assist; the inspection judgment and chemical application stay human.

Exposure24

Share and intensity of work current AI systems can materially affect.

Automation12%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Pest monitoring sensors catch activity earlier but still dispatch a technician to treat it. Licensing for pesticide application and the physical access work of inspections keep this among the more automation-resistant service trades.

Distribution

Where Pest Control Workers sits across 620 tracked roles

Pest Control Workers · 16050100

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.

14 O*NET task statements matched to SOC 37-2021. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $45,250 (May 2025, US national). The latest BLS row matched SOC 37-2021.

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 Pest Control Workers

SOC 37-2021 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.

Modest change

+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.

Substantial change

+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.

Extreme change

+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 Pest Control Workers

The current evidence import matched 14 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 tasks14
SOC37-2021
  • Core task / ID 7974

    Record work activities performed.

  • Core task / ID 7977

    Clean work site after completion of job.

  • Core task / ID 20760

    Measure area dimensions requiring treatment, calculate fumigant requirements, and estimate cost for service.

  • Core task / ID 7976

    Spray or dust chemical solutions, powders, or gases into rooms, onto clothing, furnishings, or wood, or over marshlands, ditches, or catch basins.

  • Core task / ID 20759

    Recommend treatment and prevention methods for pest problems to clients.

  • Core task / ID 7975

    Inspect premises to identify infestation source and extent of damage to property, wall, or roof porosity and access to infested locations.

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

physical

Inspect premises for infestations

Exposure 24, automation 10%, augmentation 44%.

O*NET evidence: Inspect premises to identify infestation source and extent of damage to property, wall,... (ID 7975)

physical

Apply treatments and set traps

Exposure 18, automation 7%, augmentation 26%.

O*NET evidence: Set mechanical traps, or place poisonous paste or bait in sewers, burrows, or ditches. (ID 7985)

social

Recommend prevention methods to clients

Exposure 32, automation 12%, augmentation 52%.

O*NET evidence: Recommend treatment and prevention methods for pest problems to clients. (ID 20759)

information

Estimate costs and record work

Exposure 48, automation 26%, augmentation 54%.

O*NET evidence: Measure area dimensions requiring treatment, calculate fumigant requirements, and estim... (ID 20760)

TaskExposureAutomationAugmentation
Inspect premises for infestations2410%44%
Apply treatments and set traps187%26%
Recommend prevention methods to clients3212%52%
Estimate costs and record work4826%54%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Pest Control Branch Manager

Training horizon: 3-6 months. Skill overlap 68. Wage preservation signal 134.

  • Manage technician routes
  • Own service quality metrics
  • Grow commercial accounts
Low
credentialed transition

Termite and Structural Specialist

Training horizon: 3-9 months. Skill overlap 70. Wage preservation signal 118.

  • Earn specialty licenses
  • Learn structural assessment
  • Build inspection certifications
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Pest Control Workers

The displacement pressure score for Pest Control Workers 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. Estimate costs and record work carries 26% automation pressure, while Estimate costs and record work carries 54% 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: $45,250 (May 2025, US national). Employment context: Licensed field service role with steady demand. Typical education: High school diploma plus state licensure.

Wage vulnerability is 54, while transition feasibility is 64. 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.

  • Very low displacement pressure
  • Licensed application is required
  • Monitoring tech dispatches, not replaces

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Pest Control Workers, 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.

Priority 1

Pest assessment

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.

Priority 2

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.

Priority 3

Field inspection

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.

Priority 4

Customer advising

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.

  1. 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.
  2. By 60 days, complete one small project connected to Pest Control Branch Manager, such as manage technician routes.
  3. By 90 days, compare internal openings and external postings for Pest Control Branch Manager or Termite and Structural Specialist and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Pest Control Workers

Will AI replace Pest Control Workers?

Inspecting crawl spaces, identifying infestations, and applying treatments is licensed fieldwork in unpredictable structures. Scheduling and monitoring sensors assist; the inspection judgment and chemical application stay human. 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 Pest Control Workers work are most exposed to AI?

Estimate costs and record work and Recommend prevention methods to clients show the strongest automation pressure in this model. Estimate costs and record work and Recommend prevention methods to clients are better treated as AI-augmented work.

What should Pest Control Workers learn next?

Start with Pest assessment, Chemical safety, Field inspection. The most practical adjacent paths in this model are Pest Control Branch Manager and Termite and Structural Specialist.

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