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AI Automation Index
Task-level automation exposure for Industrial Machinery Mechanics: 16 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
16 of 16 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
439,640 people hold this job — size, not growth
Projected 2025–35
44,400 openings a year · BLS line item
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,450 – $87,670
Highest medians
Lowest medians
State figures come from the 49-9041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
6 tasks
1 tasks
9 tasks
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 →Repair or maintain the operating condition of industrial production or processing machinery or equipment.
physical manipulation — Physical maintenance of machinery
Repair or replace broken or malfunctioning components of machinery or equipment.
physical manipulation — Manual replacement of mechanical parts
Clean, lubricate, or adjust parts, equipment, or machinery.
physical manipulation — Hands-on equipment adjustment for performance
Disassemble machinery or equipment to remove parts and make repairs.
physical manipulation — Disassembly requires hands-on tool use
Reassemble equipment after completion of inspections, testing, or repairs.
physical manipulation — Reassembly after repair requires hands-on fitting
Examine parts for defects, such as breakage or excessive wear.
visual inspection — Locating wear and damage requires physical inspection
Record repairs and maintenance performed.
text generation — Log maintenance and repair records from data
Operate newly repaired machinery or equipment to verify the adequacy of repairs.
physical manipulation — Hands-on mechanical testing in physical environment
Record parts or materials used and order or requisition new parts or materials, as necessary.
text generation — Record parts and repair details from provided data
Observe and test the operation of machinery or equipment to diagnose malfunctions, using voltmeters or other testing devices.
visual inspection — Detecting subtle equipment problems needs on-site sensory judgment
Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.
data analysis — Performance data analysis; equipment context human
Study blueprints or manufacturers' manuals to determine correct installation or operation of machinery.
visual inspection — Diagram interpretation partial, human confirms installation
Cut and weld metal to repair broken metal parts, fabricate new parts, or assemble new equipment.
physical manipulation — Physical cutting to specifications
Enter codes and instructions to program computer-controlled machinery.
data analysis — Code entry is routine data input
Demonstrate equipment functions and features to machine operators.
interpersonal — Operational training requires live human delivery
Assign schedules to work crews.
decision support — Algorithmic scheduling with human handling constraints and exceptions
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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
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