Will AI replace Manufactured Building and Mobile Home Installers?
AI reaches little of this job’s work.
10/100
Low exposure
More exposed to AI than 21% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 14% of the work
What the job involves
Move or install mobile homes or prefabricated buildings.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Confer with customers or read work orders to determine the nature and extent of damage to units.
- List parts needed, estimate costs, and plan work procedures, using parts lists, technical manuals, and diagrams.
Out of reach(12)
- Move and set up mobile homes or prefabricated buildings on owners' lots or at mobile home parks.
- Seal open sides of modular units to prepare them for shipment, using polyethylene sheets, nails, and hammers.
- Repair leaks in plumbing or gas lines, using caulking compounds and plastic or copper pipe.
- Connect water hoses to inlet pipes of plumbing systems, and test operation of plumbing fixtures.
- Inspect, examine, and test the operation of parts or systems to evaluate operating condition and to determine if repairs are needed.
and 7 more
Also called
House Trailer Servicer · Mobile Home Mechanic · Mobile Home Servicer · Mobile Homes Repairer · Delivery Crew Worker · House Hauler · Mobile Home Installer · Mobile Home Laborer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics