Environmental Remediation Technicians
Overall Exposure
2025 vs 2023
Theoretical Exposure
39What AI could do
Observed Exposure
11What AI actually does
Automation Risk Score
13Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 20 | 35 | 8 | 10 | actual |
| 2025 | 24 | 39 | 11 | 13 | estimated |
| 2026 | 28 | 43 | 14 | 16 | estimated |
| 2027 | 32 | 47 | 17 | 19 | estimated |
| 2028 | 36 | 51 | 20 | 22 | estimated |
Task Breakdown
About This Occupation
If you work as an Environmental Remediation Technician, AI has limited impact on your physical fieldwork. With an automation risk of 13/100 and overall exposure at 24%, this role faces low transformation. Compliance documentation sees the highest automation at 48%. BLS projects +8% growth through 2034.
Frequently Asked Questions
With an automation risk score of 13%, Environmental Remediation Technicians has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Environmental Remediation Technicians is 13% (2025 data). Overall AI exposure is 24%, with 39% theoretical exposure and 11% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Environmental Remediation Technicians are: Prepare compliance documentation and site reports (48%), Monitor contamination levels with testing equipment (40%), Operate hazardous waste removal equipment (12%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +8% employment change for Environmental Remediation Technicians from 2024 to 2034. Combined with an overall AI exposure of 24%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Environmental Remediation Technicians should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.