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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Model Makers, Metal and Plastic: 16 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
16 of 16 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
2,610 people hold this job — size, not growth
Projected 2025–35
200 openings a year · BLS line item
BLS OEWS publishes 15 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$45,760 – $92,960
Highest medians
Lowest medians
State figures come from the 51-4061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
2 tasks
3 tasks
11 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.
information retrieval — Parse specs and materials from orders
Set up and operate machines, such as lathes, drill presses, punch presses, or bandsaws, to fabricate prototypes or models.
physical manipulation — Metal and plastic forming equipment run by hand
Program computer numerical control (CNC) machines to fabricate model parts.
decision support — Programming production equipment needs physical setup and verification
Inspect and test products to verify conformance to specifications, using precision measuring instruments or circuit testers.
visual inspection — Material product inspection is physical and sensory
Cut, shape, and form metal parts, using lathes, power saws, snips, power brakes and shears, files, and mallets.
physical manipulation — Hands-on industrial material cutting
Rework or alter component model or parts as required to ensure that products meet standards.
physical manipulation — Physical disassembly and reassembly of parts
Drill, countersink, and ream holes in parts and assemblies for bolts, screws, and other fasteners, using power tools.
physical manipulation — Drilling parts requires physical tool operation
Grind, file, and sand parts to finished dimensions.
physical manipulation — Grinding requires hands-on control and feel
Devise and construct tools, dies, molds, jigs, and fixtures, or modify existing tools and equipment.
decision support — AI drafts tooling; machinist and engineer verify
Record specifications, production operations, and final dimensions of models for use in establishing operating standards and procedures.
data analysis — Record production data into structured logs
Align, fit, and join parts, using bolts and screws or by welding or gluing.
physical manipulation — Aligning parts for assembly needs hands and judgment
Lay out and mark reference points and dimensions on materials, using measuring instruments and drawing or scribing tools.
physical manipulation — Drawing guide lines on materials is hands-on
Consult and confer with engineering personnel to discuss developmental problems and to recommend product modifications.
decision support — Diagnosis support good; physical resolution needs humans
Use computer-aided design (CAD) and computer-aided manufacturing (CAM) software or hardware to fabricate model parts.
decision support — Programming production equipment needs physical setup and verification
Assemble mechanical, electrical, and electronic components into models or prototypes, using hand tools, power tools, and fabricating machines.
physical manipulation — Hands-on assembly of metal or plastic parts
Wire and solder electrical and electronic connections and components.
physical manipulation — Soldering requires fine manual dexterity
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="model-makers-metal-and-plastic"></div>
<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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