Gini Loh System Tools

AI Automation Index

Will AI Replace Model Makers, Metal and Plastic?

Task-level automation exposure for Model Makers, Metal and Plastic: 16 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

29% weighted task index

16 of 16 tasks scored

Median Salary

$63,340 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

2,610 people hold this job — size, not growth

Projected 2025–35

-17.3% employment change

200 openings a year · BLS line item

Pay by state

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

California $92,960
Florida $79,930
New York $77,710
New Jersey $72,340
Illinois $68,890

Lowest medians

North Carolina $45,760
Pennsylvania $52,990
Utah $53,650
Rhode Island $55,560
Michigan $60,540

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.

What the score is made of

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.

Automation potential 29%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 60%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 7%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 20/100 Low

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.

Constituent Task Mix

16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 15%

2 tasks

Medium exposure (≥ 35%) 18%

3 tasks

Low exposure (below 35%) 68%

11 tasks

How would you survive?

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 →

Constituent Tasks

#12022 · Core · 73% automatable

Study blueprints, drawings, and sketches to determine material dimensions, required equipment, and operations sequences.

information retrieval — Parse specs and materials from orders

Read work orders or other instructions to determine product specifications or materials requirements. Review blueprints or other instructions to determine operational methods or sequences.
#12023 · Core · 12% automatable

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

Operate metal or plastic forming equipment. Operate cutting equipment.
#20924 · Core · 55% automatable

Program computer numerical control (CNC) machines to fabricate model parts.

decision support — Programming production equipment needs physical setup and verification

Program equipment to perform production tasks.
#12024 · Core · 25% automatable

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

Inspect metal, plastic, or composite products.
#12025 · Core · 6% automatable

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

Shape metal workpieces with hammers or other small hand tools. Cut industrial materials in preparation for fabrication or processing.
#12030 · Core · 10% automatable

Rework or alter component model or parts as required to ensure that products meet standards.

physical manipulation — Physical disassembly and reassembly of parts

Repair parts or assemblies.
#12027 · Core · 12% automatable

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

Drill holes in parts, equipment, or materials.
#12028 · Core · 10% automatable

Grind, file, and sand parts to finished dimensions.

physical manipulation — Grinding requires hands-on control and feel

Smooth metal surfaces or edges. Operate grinding equipment.
#12034 · Core · 18% automatable

Devise and construct tools, dies, molds, jigs, and fixtures, or modify existing tools and equipment.

decision support — AI drafts tooling; machinist and engineer verify

Assemble machine tools, parts, or fixtures. Build production molds. Design tools, fixtures, or other devices for production equipment.
#12029 · Core · 82% automatable

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

Record operational or production data.
#12031 · Core · 6% automatable

Align, fit, and join parts, using bolts and screws or by welding or gluing.

physical manipulation — Aligning parts for assembly needs hands and judgment

Assemble metal or plastic parts or products. Align parts or workpieces to ensure proper assembly.
#12026 · Core · 8% automatable

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

Draw guide lines or markings on materials or workpieces using patterns or other references.
#12032 · Core · 55% automatable

Consult and confer with engineering personnel to discuss developmental problems and to recommend product modifications.

decision support — Diagnosis support good; physical resolution needs humans

Confer with others to resolve production problems or equipment malfunctions.
#20925 · Supplemental · 55% automatable

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

Program equipment to perform production tasks.
#12033 · Supplemental · 5% automatable

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

Assemble metal or plastic parts or products.
#12035 · Supplemental · 10% automatable

Wire and solder electrical and electronic connections and components.

physical manipulation — Soldering requires fine manual dexterity

Solder parts or workpieces.
Embed this calculator on your site ↓

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?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

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

Engineer at work

Best AI Proof Jobs in a Changing Market

Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.

Read Article ->