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AI Automation Index
Task-level automation exposure for Outdoor Power Equipment and Other Small Engine Mechanics: 14 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
14 of 14 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
36,060 people hold this job — size, not growth
Projected 2025–35
3,800 openings a year · BLS line item
BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$23,730 – $60,190
Highest medians
Lowest medians
State figures come from the 49-3053 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.
14 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
1 tasks
2 tasks
11 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 →Record repairs made, time spent, and parts used.
text generation — Log maintenance and repair records from data
Test and inspect engines to determine malfunctions, to locate missing and broken parts, and to verify repairs, using diagnostic instruments.
physical manipulation — Hands-on mechanical testing in physical environment
Dismantle engines, using hand tools, and examine parts for defects.
visual inspection — Mechanical component inspection requires hands-on access
Repair and maintain gasoline engines used to power equipment such as portable saws, lawn mowers, generators, and compressors.
physical manipulation — Physical maintenance of machinery
Adjust points, valves, carburetors, distributors, and spark plug gaps, using feeler gauges.
physical manipulation — Hands-on vehicle component adjustment
Repair or replace defective parts such as magnetos, water pumps, gears, pistons, and carburetors, using hand tools.
physical manipulation — Manual replacement of mechanical parts
Perform routine maintenance such as cleaning and oiling parts, honing cylinders, and tuning ignition systems.
physical manipulation — Physical lubrication task requiring hands and access
Reassemble engines after repair or maintenance work is complete.
physical manipulation — Reassembly after repair requires hands-on fitting
Replace motors.
physical manipulation — Manual replacement of mechanical parts
Obtain problem descriptions from customers, and prepare cost estimates for repairs.
data analysis — Labor/material cost estimation from rates
Show customers how to maintain equipment.
interpersonal — Customer product training is relational and situational
Remove engines from equipment, and position and bolt engines to repair stands.
physical manipulation — Disassembly requires hands-on tool use
Sell parts and equipment.
interpersonal — Closing sales requires persuasion and accountability
Grind, ream, rebore, and re-tap parts to obtain specified clearances, using grinders, lathes, taps, reamers, boring machines, and micrometers.
physical manipulation — Precision grinding requires hands-on machine control
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<div class="giniloh-calculator-embed" data-calculator="outdoor-power-equipment-and-other-small-engine-mechanics"></div>
<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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