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AI Automation Index
Will AI Replace Recreational Vehicle Service Technicians?
Task-level automation exposure for Recreational Vehicle Service Technicians: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
21%
weighted task index
17 of 17 tasks scored
Median Salary
$52,000 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
17,430 people hold this job — size, not growth
Projected 2025–35
+9.7%
employment change
2,200 openings a year · BLS line item
Pay by state
BLS OEWS publishes 45 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$35,920 – $68,240
Highest medians
California $68,240
Nevada $65,200
New Hampshire $62,090
North Carolina $62,000
Massachusetts $61,470
Lowest medians
West Virginia $35,920
South Dakota $39,820
Virginia $41,280
Michigan $41,600
Kansas $45,020
State figures come from the 49-3092 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
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.
Automation potential 21%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 70%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 6%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 14/100
Low
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.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 6%
1 tasks
Medium exposure (≥ 35%) 12%
2 tasks
Low exposure (below 35%) 82%
14 tasks
How would you survive?
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 →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2025 · Incumbent
Inspect and install lights, such as headlights and taillights.
Constituent Tasks
#20804 · Core · 20% automatable
Diagnose and repair furnace or air conditioning systems.
visual inspection — System checks partly aided by telemetry, still human-verified
Inspect systems to determine if they are operating properly. Repair worn, damaged, or defective mechanical parts.
#10010 · Core · 10% automatable
Connect electrical systems to outside power sources, and activate switches to test the operation of appliances or light fixtures.
physical manipulation — Connecting electrical components is manual work
Connect electrical components or equipment.
#10004 · Core · 22% automatable
Examine or test operation of parts or systems to ensure completeness of repairs.
visual inspection — Completed-work function check is physical
Inspect completed work to ensure proper functioning.
#10005 · Core · 10% automatable
Repair plumbing or propane gas lines, using caulking compounds and plastic or copper pipe.
physical manipulation — Pipe leak repair requires hands-on manipulation
Repair pipes to stop leaking.
#10006 · Core · 14% automatable
Inspect recreational vehicles to diagnose problems and perform necessary adjustment, repair, or overhaul.
visual inspection — Overall vehicle condition inspection is physical
Inspect vehicles to determine overall condition. Repair defective engines or engine components.
#10007 · Core · 18% automatable
Locate and repair frayed wiring, broken connections, or incorrect wiring, using ohmmeters, soldering irons, tape, or hand tools.
physical manipulation — Hands-on wiring repair in physical environment
Repair electrical circuits or wiring.
#10008 · Core · 42% automatable
Confer with customers, read work orders, or examine vehicles needing repair to determine the nature and extent of damage.
decision support — Diagnosis from description aided, repair judgment human
Read work orders or descriptions of problems to determine repairs or modifications needed. Inspect vehicles to determine overall condition. Confer with customers or users to assess problems.
#10014 · Core · 10% automatable
Repair leaks with caulking compound or replace pipes, using pipe wrenches.
physical manipulation — Pipe leak repair requires hands-on manipulation
Repair pipes to stop leaking.
#20803 · Core · 18% automatable
Inspect, repair, or replace brake systems.
visual inspection — Mechanical component inspection requires hands-on access
Inspect mechanical components of vehicles to identify problems.
#10011 · Core · 10% automatable
Connect water hoses to inlet pipes of plumbing systems, and test operation of toilets or sinks.
physical manipulation — Connecting hoses to piping is manual fitting
Connect hoses to equipment or piping.
#10009 · Core · 73% automatable
List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, or diagrams.
text generation — Record parts and repair details from provided data
Estimate costs for labor or materials. Plan work procedures. Record information about parts, materials or repair procedures.
#10012 · Core · 8% automatable
Remove damaged exterior panels, and repair and replace structural frame members.
physical manipulation — Removing equipment components requires manual dexterity
Remove parts or components from equipment. Repair non-engine automotive or vehicle components.
#10016 · Core · 5% automatable
Reset hardware, using chisels, mallets, and screwdrivers.
physical manipulation — Reassembly after repair requires hands-on fitting
Reassemble equipment after repair.
#10013 · Core · 18% automatable
Open and close doors, windows, or drawers to test their operation, trimming edges to fit, as necessary.
physical manipulation — Hands-on mechanical testing in physical environment
Test mechanical equipment to ensure proper functioning. Cut materials according to specifications or needs.
#20802 · Core · 55% automatable
Explain proper operation of vehicle systems to customers.
interpersonal — AI can script; live explanation and trust are human
Explain use of products or services.
#10015 · Core · 10% automatable
Refinish wood surfaces on cabinets, doors, moldings, or floors, using power sanders, putty, spray equipment, brushes, paints, or varnishes.
physical manipulation — Refinishing surfaces is skilled manual labor
Refinish wood or metal surfaces.
#10017 · Supplemental · 5% automatable
Seal open sides of modular units to prepare them for shipment, using polyethylene sheets, nails, and hammers.
physical manipulation — Sealing gaps requires hands-on application
Seal gaps or cracks to prevent leakage or moisture intrusion.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
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
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