Can AI Replace Hazardous Materials Removal Workers in 2026?

Lower exposure. AI could handle about 11% of today's hazardous materials removal workers tasks by 2036, and there is a 6% chance the number of jobs falls by a fifth or more. AI mostly assists people in this role.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

Headcount (2025 = 100)

101

Chance of 20%+ fewer jobs

7% 2030 · 6% 2036

One person could cover, 2036

~1 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Your plan

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Try an AI tool on one task you'd normally do by hand: "Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed".Learn one AI tool well enough to show it in an interview, for: "Identify asbestos, lead, or other hazardous materials to be removed, using monitoring devices".Get visibly better at your human core: "Build containment areas prior to beginning abatement or decontamination work".Rewrite the top of your CV around judgment, people and decisions, not routine output.

Similar occupations

Helpers--Production Workers · Occupational Health and Safety Specialists · Environmental Engineering Technologists and Technicians · Nuclear Monitoring Technicians

Based on 21 O*NET tasks for "Hazardous Materials Removal Workers" (SOC 47-4041.00). LLM alone: 3% of tasks; with AI tools: 13%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10