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

Mobile Heavy Equipment Mechanics, Except Engines

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 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
12.5 of 100
AI / softwarerange 0.5 to 24.5
68.6 of 100
Physical / roboticsrange 56.6 to 80.6

When the change is likely

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

Partial, 5 to 10 years local demand growing

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 Industrial Machinery Mechanics
It is skill-adjacent and less exposed (58.8 vs 69). 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

Repair and replace damaged or worn parts.
68.6
Test mechanical products and equipment after repair or assembly to ensure proper performance and compliance with manufacturers' specifications.
68.6
Operate and inspect machines or heavy equipment to diagnose defects.
100.0
Read and understand operating manuals, blueprints, and technical drawings.
68.6
Dismantle and reassemble heavy equipment using hoists and hand tools.
68.6
Overhaul and test machines or equipment to ensure operating efficiency.
68.6
Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes.
68.6
Repair, rewire, and troubleshoot electrical systems.
68.6

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

What is driving my result

lowers risk
raises risk
Task: Operate and inspect machines or heavy equipment to diagnose defects.
Task: Repair and replace damaged or worn parts.
Local demand is growing

Lower-risk adjacent roles

Industrial Machinery Mechanics
58.8
Engine and Other Machine Assemblers
61.9
Maintenance Workers, Machinery
64.2
Rail Car Repairers
67.5

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

How this score is calculated

  1. Map Mobile Heavy Equipment Mechanics, Except Engines 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 12.5, robotics 68.6.
  4. The timeline comes from the higher axis (68.6), shifted for local demand (growing), 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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