Will AI replace Coin, Vending, and Amusement Machine Servicers and Repairers?
AI reaches little of this job’s work.
17/100
Low exposure
More exposed to AI than 29% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 17% of the work
What the job involves
Install, service, adjust, or repair coin, vending, or amusement machines including video games, juke boxes, pinball machines, or slot machines.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Maintain records of machine maintenance and repair.
- Record transaction information on forms or logs, and notify designated personnel of discrepancies.
- Keep records of merchandise distributed and money collected.
Out of reach(15)
- Inspect machines and meters to determine causes of malfunctions and fix minor problems such as jammed bills or stuck products.
- Fill machines with products, ingredients, money, and other supplies.
- Test machines to determine proper functioning.
- Clean and oil machine parts.
- Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers.
and 10 more
Also called
Slot Technician · Route Attendant · Amusement Machine Mechanic · Arcade Games Mechanic · ATM Mechanic (Automatic Teller Machine Mechanic) · ATM Mechanic · Automatic Coin Machine Mechanic · Bank Teller Machine Mechanic
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