Will AI replace Model Makers, Metal and Plastic?
Most of the work in Model Makers, Metal and Plastic still leans on things AI struggles with — research rates its theoretical AI reach at only ~16%, and real-world use lower still.
O*NET-SOC 51-4061
How your 15 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~16%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~16%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 15 tasks, ratedBased on real task-level AI scores — click to collapse
- Program computer numerical control (CNC) machines to fabricate model parts.
- Use computer-aided design (CAD) and computer-aided manufacturing (CAM) software or hardware to fabricate model parts.
- Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.
- Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers.
- Drill, countersink, and ream holes in parts and assemblies for bolts, screws, and other fasteners, using power tools.
- Cut, shape, and form metal parts, using lathes, power saws, snips, power brakes and shears, files, and mallets.
- Set up and operate machines, such as lathes, drill presses, punch presses, or bandsaws, to fabricate prototypes or models.
- Devise and construct tools, dies, molds, jigs, and fixtures, or modify existing tools and equipment.
- Rework or alter component model or parts as required to ensure that products meet standards.
- Grind, file, and sand parts to finished dimensions.
- Lay out and mark reference points and dimensions on materials, using measuring instruments and drawing or scribing tools.
- Align, fit, and join parts, using bolts and screws or by welding or gluing.
- Assemble mechanical, electrical, and electronic components into models or prototypes, using hand tools, power tools, and fabricating machines.
- Consult and confer with engineering personnel to discuss developmental problems and to recommend product modifications.
- Record specifications, production operations, and final dimensions of models for use in establishing operating standards and procedures.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.