Will AI replace Recreational Vehicle Service Technicians?
Most of the work in Recreational Vehicle Service Technicians still leans on things AI struggles with — research rates its theoretical AI reach at only ~6%, and real-world use lower still.
O*NET-SOC 49-3092
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~6%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~6%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, or diagrams.
- No tasks in this middle tier.
- Explain proper operation of vehicle systems to customers.
- Locate and repair frayed wiring, broken connections, or incorrect wiring, using ohmmeters, soldering irons, tape, or hand tools.
- Repair plumbing or propane gas lines, using caulking compounds and plastic or copper pipe.
- Confer with customers, read work orders, or examine vehicles needing repair to determine the nature and extent of damage.
- Examine or test operation of parts or systems to ensure completeness of repairs.
- Connect electrical systems to outside power sources, and activate switches to test the operation of appliances or light fixtures.
- Connect water hoses to inlet pipes of plumbing systems, and test operation of toilets or sinks.
- Inspect recreational vehicles to diagnose problems and perform necessary adjustment, repair, or overhaul.
- Inspect, repair, or replace brake systems.
- Diagnose and repair furnace or air conditioning systems.
- Repair leaks with caulking compound or replace pipes, using pipe wrenches.
- Remove damaged exterior panels, and repair and replace structural frame members.
- Open and close doors, windows, or drawers to test their operation, trimming edges to fit, as necessary.
- Reset hardware, using chisels, mallets, and screwdrivers.
- Refinish wood surfaces on cabinets, doors, moldings, or floors, using power sanders, putty, spray equipment, brushes, paints, or varnishes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.