JobBreak

Installation, Maintenance, and Repair · United States (national)

Manufactured Building and Mobile Home Installers

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

The short version: this role is highly exposed to automation, and the bigger shift looks near-term. 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
11.5 of 100
AI / softwarerange 0.0 to 23.5
73.9 of 100
Physical / roboticsrange 61.9 to 85.9

When the change is likely

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

Near-term, high local demand declining

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
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 Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
It is skill-adjacent and less exposed (57.5 vs 74). 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

Seal open sides of modular units to prepare them for shipment, using polyethylene sheets, nails, and hammers.
73.9
Move and set up mobile homes or prefabricated buildings on owners' lots or at mobile home parks.
73.9
Inspect, examine, and test the operation of parts or systems to evaluate operating condition and to determine if repairs are needed.
100.0
Connect water hoses to inlet pipes of plumbing systems, and test operation of plumbing fixtures.
73.9
Remove damaged exterior panels, repair and replace structural frame members, and seal leaks, using hand tools.
73.9
List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, and diagrams.
73.9
Confer with customers or read work orders to determine the nature and extent of damage to units.
73.9
Install, repair, and replace units, fixtures, appliances, and other items and systems in mobile and modular homes, prefabricated buildings, or travel trailers, using hand tools or power tools.
73.9

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

What is driving my result

lowers risk
raises risk
Task: Inspect, examine, and test the operation of parts or systems to evaluate operating condition and to determine if repairs are needed.
Task: Seal open sides of modular units to prepare them for shipment, using polyethylene sheets, nails, and hammers.
Local demand is declining

Lower-risk adjacent roles

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
57.5
Structural Metal Fabricators and Fitters
60.9
Carpenters
65.8
Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters
66.5
Millwrights
70.7
Structural Iron and Steel Workers
72.5

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

How this score is calculated

  1. Map Manufactured Building and Mobile Home Installers 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 11.5, robotics 73.9.
  4. The timeline comes from the higher axis (73.9), shifted for local demand (declining), 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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