Can AI Replace Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic in 2026?

Lower exposure. AI could handle about 2% of today's cutting, punching, and press machine setters, operators, and tenders, metal and plastic tasks by 2036, and there is a 13% 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)

Chance of 20%+ fewer jobs

10% 2030 · 13% 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: "Scribe reference lines on workpieces as guides for cutting operations, according to blueprints, templates, sample parts, or specifications".Get visibly better at your human core: "Examine completed workpieces for defects, such as chipped edges or marred surfaces and sort defective pieces according to types of flaws".Rewrite the top of your CV around judgment, people and decisions, not routine output.

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Based on 32 O*NET tasks for "Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic" (SOC 51-4031.00). LLM alone: 0% of tasks; with AI tools: 2%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10