45
/100

SOC 47-4041

Hazardous Materials Removal Workers

ElevatedFrey/Osborne: 53.0%

Risk Score

โš ๏ธ

45/100

Elevated

US Employment

๐Ÿ‘ฅ

50,570

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$37K โ€“ $82K

Projected Growth

๐Ÿ“ˆ

+1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Hazardous Materials Removal Workers face a risk score of 45/100 โ€” 1 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($2K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 45/100, Hazardous Materials Removal Workers faces moderate automation pressure. While tasks like ai project scheduling and resource optimization are increasingly handled by AI, the role retains significant human elements. The 50,570 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and client-facing consultation on custom project needs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Hazardous Materials Removal Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI project scheduling and resource optimization

2

3D printing of building components

3

Drone-based site surveying and inspection

4

Autonomous heavy equipment operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Client-facing consultation on custom project needs

โœ“

Adapting to unique building configurations on-site

โœ“

Fine motor craftsmanship in custom installations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Build containment areas prior to beginning abatement or decontamination work.

โ€ข

Remove asbestos or lead from surfaces, using hand or power tools such as scrapers, vacuums, or high-pressure sprayers.

โ€ข

Identify asbestos, lead, or other hazardous materials to be removed, using monitoring devices.

โ€ข

Prepare hazardous material for removal or storage.

โ€ข

Comply with prescribed safety procedures or federal laws regulating waste disposal methods.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Data base user interface and query software

โ€ข

Internet browser software

โ€ข

Inventory management software

โ€ข

Enterprise application integration software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Transportation

โ€ข

Customer and Personal Service

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$48K
+$2K

National avg: $46K

Risk Score45/100
+1

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth1.0%
-2.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
Extraction Workers29$56K77%
Electricians32$62K71%