JobBreak

Production · United States (national)

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
1.1 of 100
AI / softwarerange 0.0 to 13.1
62.0 of 100
Physical / roboticsrange 50.0 to 74.0

When the change is likely

partial change 0y 5y 10y 15y 20+y

Partial, 5 to 10 years local demand stable

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Painting, Coating, and Decorating Workers
It is skill-adjacent and less exposed (39.0 vs 62). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Dispose of hazardous waste in an appropriate manner.
62.0
Hold or position spray guns to direct spray onto articles.
62.0
Spray prepared surfaces with specified amounts of primers and decorative or finish coatings.
62.0
Monitor painting operations to identify flaws, such as blisters or streaks, and correct their causes.
62.0
Disassemble, clean, and reassemble sprayers or power equipment, using solvents, wire brushes, and cloths.
62.0
Fill hoppers, reservoirs, troughs, or pans with material used to coat, paint, or spray, using conveyors or pails.
62.0
Clean equipment and work areas.
62.0
Apply rust-resistant undercoats and caulk and seal seams.
62.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Dispose of hazardous waste in an appropriate manner.
Task: Hold or position spray guns to direct spray onto articles.

Lower-risk adjacent roles

Painting, Coating, and Decorating Workers
39.0
Furniture Finishers
57.2
Plating Machine Setters, Operators, and Tenders, Metal and Plastic
58.5
Grinding and Polishing Workers, Hand
58.8

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Coating, Painting, and Spraying Machine Setters, Operators, and Tenders to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 1.1, robotics 62.0.
  4. The timeline comes from the higher axis (62.0), shifted for local demand (stable), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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