Environmental science and protection technicians

AI Overlap Index
41.1 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 19-4042 · Life Physical And Social Science

Bureau of Labor Statistics
Median pay
$49,490/yr
Hourly
$24/hr
Jobs 2024
40,400
Projected 2034
42,100
10-yr outlook
+4% · As fast as average
Employment change
1,600
Entry education
Associate's degree
SOC code
19-4042

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
39.3
contribution to AOI: 23.6
Automation Potential weight 10%
40.0
contribution to AOI: 4.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
48.5
mult 1.18x
Mid
41.1
mult 1.00x
Senior
32.9
mult 0.80x

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 t9

Prepare tables, charts, and reports to summarize test results

AI excels at transforming structured laboratory data into standardized tables, charts, and summary reports, with tools already automating most of this workflow; human review of outputs is minimal for routine test results.

BLS evidence: Technicians 'Prepare tables, charts, and reports to summarize test results' as part of their documentation duties.

82
automation
Supporting t10

Label and track samples being transported to the laboratory

Sample tracking and labeling is highly systematizable with barcode/RFID systems integrated with AI-powered LIMS software that can automate chain-of-custody documentation, though physical label application still requires some human or robotic handling.

BLS evidence: The duties include 'Label and track samples being transported to the laboratory to ensure the samples' integrity.'

72
automation
Core t4

Evaluate and analyze samples for the presence of contaminants using laboratory equipment

Laboratory analysis increasingly automated through AI-enhanced spectrometry and chromatography systems that can identify contaminants, but still requires human oversight for quality control, instrument calibration, and interpretation of ambiguous results.

BLS evidence: Technicians 'Use equipment, such as microscopes, to evaluate and analyze samples for the presence of contaminants.'

58
automation
Important t7

Develop cleanup plans for contaminated sites and recommend pollution control methods

AI can generate cleanup recommendations based on contaminant databases and regulatory frameworks, and draft pollution control plans, but site-specific constraints, cost-benefit tradeoffs, and stakeholder considerations require significant human refinement and approval.

BLS evidence: In business settings, technicians 'may develop cleanup plans for contaminated sites and recommend ways to reduce, control, or eliminate pollution.'

55
automation
Important t6

Conduct feasibility or environmental impact studies related to proposed construction

AI can model environmental impacts and analyze feasibility using existing data and simulation tools, but studies require site visits, stakeholder input integration, and professional judgment about methodology that keeps humans substantially involved.

BLS evidence: The page states 'These technicians also may conduct feasibility or environmental impact studies related to proposed construction.'

52
automation
Important t5

Verify compliance with environmental regulations to help prevent pollution

AI can cross-reference regulations and flag potential violations from data, but compliance verification requires site-specific judgment, understanding regulatory intent in gray areas, and accountability that organizations still require from human technicians.

BLS evidence: The duties section includes 'Verify compliance with regulations that help prevent pollution' as a key responsibility.

48
automation
Important t8

Discuss test results and analyses with clients

Requires real-time interpersonal communication to address client concerns, explain technical findings in accessible terms, and build trust around potentially contentious results—capabilities where AI assistance is limited to preparation rather than execution.

BLS evidence: The duties section explicitly lists 'Discuss test results and analyses with clients' as a typical task.

35
automation
Core t3

Inspect public spaces, businesses, and facilities for environmental, health, or safety hazards

Requires physical navigation through diverse facilities, visual assessment of conditions that vary widely, and real-time judgment about hazards in contexts where liability and safety stakes make human presence essential for credibility and accountability.

BLS evidence: The duties section states technicians 'Inspect public spaces, businesses, facilities, and other areas to ensure that there are no environmental, health, or safety hazards.'

22
automation
Core t2

Set up and maintain equipment to monitor pollution levels

Involves physical installation and maintenance of equipment in unpredictable outdoor locations, requiring manipulation of hardware, troubleshooting mechanical issues, and adapting to site-specific conditions beyond current robotics capabilities.

BLS evidence: Technicians 'Set up and maintain equipment to monitor pollution levels, such as remote sensors that measure emissions from smokestacks.'

18
automation
Core t1

Collect samples of air, soil, water, and other materials for laboratory analysis

Requires physical presence in varied outdoor environments, manual dexterity for proper sampling technique, and real-time judgment about sampling locations and conditions that AI-controlled robotics cannot reliably execute across diverse field settings.

BLS evidence: The duties section explicitly lists 'Collect samples of air, soil, water, and other materials for laboratory analysis' as a primary task.

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
40
karpathy 4/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
45
outlook: As fast as average
  • BLS projected outlook: As fast as average (4%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Life Physical And Social Science

closest AOI neighbors in the same category