Pest control workers

AI Overlap Index
36.5 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC 37-2021 · Building And Grounds Cleaning

Bureau of Labor Statistics
Median pay
$44,730/yr
Hourly
$22/hr
Jobs 2024
102,400
Projected 2034
107,500
10-yr outlook
+5% · Faster than average
Employment change
5,100
Entry education
High school diploma or equivalent
SOC code
37-2021

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
32.5
contribution to AOI: 19.5
Automation Potential weight 10%
20.0
contribution to AOI: 2.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
70.0
contribution to AOI: 10.5

By seniority

multiplicative adjustment from category curve

Entry
43.8
mult 1.20x
Mid
36.5
mult 1.00x
Senior
31.0
mult 0.85x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

10 tasks · model: claude-sonnet-4-5-20250929
Supporting t10

Keep accurate records of work hours, chemicals used, and payments collected

Record-keeping of structured data (hours, chemical quantities, payments) is highly automatable through integrated software systems that can capture data from timesheets, inventory systems, and payment processing with minimal human data entry required.

BLS evidence: Workers 'must keep accurate records of the hours they work, chemicals they use, and payments they collect.'

88
automation
Supporting t9

Estimate the cost of pest control services

AI can calculate costs based on treatment type, area size, materials needed, and labor hours using pricing databases and historical data. This is primarily a computational task with well-defined inputs, though human review for unusual situations adds value.

BLS evidence: Workers 'Estimate the cost of their services' as part of customer interaction.

72
automation
Important t5

Design and carry out integrated pest management plans

AI can generate IPM plans based on pest data, building characteristics, and best practices, but implementation requires site-specific customization and ongoing adaptation based on monitoring results. Human oversight remains essential for plan validation and adjustment.

BLS evidence: Workers 'Design and carry out pest management plans' and pest control technicians 'design control strategies.'

52
automation
Core t2

Determine the type of treatment needed to eliminate pests

AI can analyze pest identification data and recommend treatments from databases, but determining optimal treatment requires integrating physical inspection findings, environmental factors, and client constraints that still benefit substantially from human judgment and experience.

BLS evidence: Workers must 'Determine the type of treatment needed to eliminate pests' and 'know the best ways to control and remove the pests.'

48
automation
Important t7

Measure dimensions of areas needing treatment

AI-assisted measurement tools exist, but measuring treatment areas in pest control contexts requires navigating cluttered spaces, irregular geometries, and obstacles. While technology can assist, human execution remains necessary for most real-world scenarios.

BLS evidence: The duties section lists 'Measure the dimensions of the area needing treatment' as a regular task.

35
automation
Core t1

Inspect buildings and premises for signs of pests or infestation

Requires physical presence in unpredictable environments (crawl spaces, attics, basements) and visual inspection of hard-to-access areas. While computer vision could assist, the mobility and environmental variability make full automation infeasible within 24 months.

BLS evidence: The duties section lists 'Inspect buildings and premises for signs of pests or infestation' as a primary task, and pest control technicians 'conduct inspections' as part of their core work.

25
automation
Important t8

Drive trucks equipped with power spraying equipment

Requires operating specialized vehicles in varied traffic and property conditions, maneuvering equipment in tight spaces, and coordinating driving with treatment operations. Autonomous vehicle technology is not yet reliable for this specialized commercial application in diverse environments.

BLS evidence: Workers 'Drive trucks equipped with power spraying equipment' and companies 'require that employees have a driver's license.'

22
automation
Important t6

Create barriers to prevent pests from entering buildings

Requires physical installation of barriers (screens, caulking, door sweeps) with manual dexterity in varied structural contexts. Identifying exact placement locations and executing installation in non-standardized building configurations is beyond current automation.

BLS evidence: Workers 'Create barriers to prevent pests from entering a building' and termite control workers 'build barriers to separate pests from their food source.'

18
automation
Core t4

Use baits and set traps to remove or control pests

Involves physical placement of baits and traps in specific locations requiring assessment of pest behavior patterns, structural features, and safety considerations. The fine motor skills and spatial reasoning in non-standardized environments are beyond current AI+robotics capabilities.

BLS evidence: Workers 'Use baits and set traps to remove, control, or eliminate pests' as a standard duty.

15
automation
Core t3

Apply pesticides in and around buildings and other structures

Requires physical manipulation of spraying equipment in varied indoor/outdoor environments, navigating obstacles, and real-time adjustment of application based on conditions. Current robotics cannot match the dexterity and environmental adaptability needed.

BLS evidence: The duties section explicitly states workers 'Apply pesticides in and around buildings and other structures,' and applicators 'use a wide range of pesticides.'

12
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
20
karpathy 2/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (5%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
70
ed: High school diploma or equivalent
  • BLS typical entry-level education: High school diploma or equivalent
  • Credential trend signal (annual refresh)

Related in Building And Grounds Cleaning

closest AOI neighbors in the same category