Will AI replace hazardous materials removal workers?
Unlikely. Most of the work is hard for today's AI to speed up. Hazardous Materials Removal Workers score 8 out of 100 (low exposure), #779 of 923 US jobs. AI could speed up 3 of the job's 21 tasks, 1 of them on its own, while 18 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which hazardous materials removal workers tasks can AI do?
The most exposed tasks include "Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed".
Which hazardous materials removal workers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Build containment areas prior to beginning abatement or decontamination work"; "Remove asbestos or lead from surfaces, using hand or power tools such as scrapers, vacuums, or high-pressure sprayers"; "Prepare hazardous material for removal or storage".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as hazardous materials removal workers, and what do they earn?
About 51,710 people in the US, with median pay of $49,450 a year (BLS, May 2025).