Can AI Replace Recycling and Reclamation Workers in 2026?

Lower exposure. AI could handle about 4% of today's recycling and reclamation workers tasks by 2036, and there is a 8% 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)

100

Chance of 20%+ fewer jobs

8% 2030 · 8% 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 logs of recycled materials or waste chemicals removed from products".Get visibly better at your human core: "Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling".Rewrite the top of your CV around judgment, people and decisions, not routine output.

Similar occupations

Refuse and Recyclable Material Collectors · Recycling Coordinators · Helpers--Production Workers · Packers and Packagers, Hand

Based on 18 O*NET tasks for "Recycling and Reclamation Workers" (SOC 53-7062.04). LLM alone: 4% of tasks; with AI tools: 4%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10