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Mobile Heavy Equipment Mechanics, Except Engines

Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining.

Also known as: Brake Mechanic · Crane Mechanic · Clutch Mechanic · Dinkey Mechanic · Dredge Mechanic · Crane Technician

AI Task Exposure Score

Moderate exposure

More exposed than 25% of 968 occupations · Rank #703 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Research, order, and maintain parts inventory for services and repairs.

Augmentable 55/100 exposure

Most durable task

Clean parts by spraying them with grease solvent or immersing them in tanks of solvent.

Durable 10/100 exposure

Useful next step

Make one change to the task mix

Pilot AI on one augmentable task, then document the judgment, relationships, and accountability you still own.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Research, order, and maintain parts inventory for services and repairs.55
  • Schedule maintenance for industrial machines and equipment, and keep equipment service records.50
  • Read and understand operating manuals, blueprints, and technical drawings.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

  • Weld or solder broken parts and structural members, using electric or gas welders and soldering tools.10
  • Clean parts by spraying them with grease solvent or immersing them in tanks of solvent.10
  • Dismantle and reassemble heavy equipment using hoists and hand tools.12

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 24 puts Mobile Heavy Equipment Mechanics, Except Engines in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 4 augmentable, and 16 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

  • $65,510median wage
  • 176,600employed
  • 16,500annual openings
  • +5.8%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

  • Augmentable 4 tasks, averaging 48/100 exposure
  • Durable 16 tasks, averaging 18/100 exposure

score = (4×48 + 16×18) ÷ 20 ≈ 24

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Moderate) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Mobile Heavy Equipment Mechanics, Except Engines

Will AI replace Mobile Heavy Equipment Mechanics, Except Engines?
This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 24 mean for a Mobile Heavy Equipment Mechanics, Except Engines?
It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 24 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?
The most durable responsibilities are: Weld or solder broken parts and structural members, using electric or gas welders and soldering tools; Clean parts by spraying them with grease solvent or immersing them in tanks of solvent; Dismantle and reassemble heavy equipment using hoists and hand tools. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology