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Will AI take my job? · Patternmakers, Metal and Plastic

Will AI take my job? Patternmakers, Metal and Plastic

The short answer

Very unlikely

Most of this job happens with people, places or equipment that AI software can’t reach. Expect AI to show up in the paperwork around the job, not to replace it.

Less exposedAI exposure 13/100 · more exposed than 28% of U.S. occupationsMore exposed

What AI is least likely to do in this job

MechanicalOperation and ControlOperations MonitoringActive ListeningSpeakingMonitoring

Skills and knowledge this work relies on that depend on people, judgment or hands-on work.

Where AI tools already help

MathematicsDesignReading ComprehensionQuality Control Analysis

Parts of the work where AI writing, research and analysis tools are already useful.

How to stay ahead

  • Lean into what people do best in this work: Mechanical, Operation and Control, Operations Monitoring. Put examples of these on your résumé.
  • Take Aptly’s free assessments to see which careers fit your interests, personality and strengths, with the AI exposure of every match.

Nearby careers that are more AI-resilient

CareerAI exposureU.S. median pay
Foundry Mold and Coremakers · Very unlikely0/100$48,110
Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic · Very unlikely3/100$44,350
Plating Machine Setters, Operators, and Tenders, Metal and Plastic · Very unlikely4/100$43,960
Tool Grinders, Filers, and Sharpeners · Very unlikely0/100$50,060
Welders, Cutters, Solderers, and Brazers · Very unlikely4/100$53,750
Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic · Very unlikely2/100$46,330

Careers that suit the same kind of person, need similar preparation and pay at least three-quarters as much. Whether one fits you is what Aptly’s free assessments show.

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Patternmakers, Metal and Plastic earn a median of $58,000 a year in the U.S. Pay by state, requirements and openings.

How this is measured

The score is an estimate of AI exposure: the share of an occupation’s tasks that large language models, and software built on them, could do in half the time or less at the same quality. It comes from a study by researchers at OpenAI and the University of Pennsylvania (Eloundou, Manning, Mishkin & Rock, 2023, “GPTs are GPTs”), which rated every task the U.S. Department of Labor lists for each occupation.

Exposure is not the same as job loss. Highly exposed jobs often change rather than disappear, and many people in them become more productive. Use it as a guide to where the work is heading, not a prediction about you.

Check another job

AI exposure: Eloundou, Manning, Mishkin & Rock (2023), “GPTs are GPTs”. Skills: O*NET 30. Pay: BLS, May 2025. O*NET-SOC 51-4062.00.