Will AI replace hazardous materials removal workers?AI replacement risk 19% and how the work is changing

United States Construction Confidence ★★★★★

Median annual pay
$49,450
25th–75th pct. $44,720–$61,530
Top pay (est.)
$107,100
Top 10% $82,410
Pay in 5 years
$57,600est.
2031
Pay in 10 years
$67,200est.
$57,800–$78,000
Outlook score
46/100
★★☆☆☆ Average
AI replacement risk
19%
Very low
Job growth (10 yr)
+1.5%
4,300 openings / yr

Will AI replace Hazardous Materials Removal Workers? AI replacement risk

19%
Very low
Ranked #116 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Hazardous Materials Removal Workers

Key skills

Critical Thinking
3.4
Monitoring
3.2
Coordination
3.1
Operation and Control
3.0
Reading Comprehension
3.0
Time Management
3.0
Operations Monitoring
3.0
Judgment and Decision Making
3.0

O*NET skill level ratings (0–7).

Key knowledge areas

Customer and Personal Service
4.9
Public Safety and Security
4.1
Education and Training
4.1
Chemistry
4.0
Production and Processing
3.8
Administration and Management
3.7
Mechanical
3.5
Building and Construction
3.2

What the work involves

Handling and Moving ObjectsMaking Decisions and Solving ProblemsOrganizing, Planning, and Prioritizing WorkPerforming General Physical ActivitiesThinking CreativelyInspecting Equipment, Structures, or MaterialsMonitoring Processes, Materials, or SurroundingsCommunicating with Supervisors, Peers, or Subordinates

Important abilities

Control PrecisionProblem SensitivityMultilimb CoordinationOral ExpressionOral ComprehensionDeductive Reasoning

Training before entry

Up to 1 month
47%
None / short demo
21%
3–6 months
14%
6–12 months
8%
1–3 months
6%
1–2 years
5%

Related work experience

None
42%
6–12 months
20%
1–2 years
18%
1–3 months
11%
Over 10 years
9%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.