AI exposure by occupation, O*NET 49-9091.00

Will AI replace Coin, Vending, and Amusement Machine Servicers and Repairers?

Coin, Vending, and Amusement Machine Servicers and Repairers: AI does not yet handle any of the role's 18 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Coin, Vending, and Amusement Machine Servicers and Repairers, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Record transaction information on forms or logs, and notify designated personnel of discrepancies. 50 Estimated Standard 3.8
Inspect machines and meters to determine causes of malfunctions and fix minor problems such as jammed bills or stuck products. 20 Estimated Efficient 4.3
Make service calls to maintain and repair machines. 20 Estimated Efficient 4.1
Maintain records of machine maintenance and repair. 20 Estimated Efficient 4.0
Order parts needed for machine repairs. 20 Estimated Standard 3.9
Adjust and repair coin, vending, or amusement machines and meters and replace defective mechanical and electrical parts, using hand tools, soldering irons, and diagrams. 20 Estimated Efficient 3.8
Contact other repair personnel or make arrangements for the removal of machines in cases where major repairs are required. 20 Estimated Efficient 3.7
Transport machines to installation sites. 20 Estimated Efficient 3.5
Refer to manuals and wiring diagrams to gather information needed to repair machines. 20 Estimated Efficient 3.5
Install machines, making the necessary water and electrical connections in compliance with codes. 20 Estimated Efficient 3.4
Keep records of merchandise distributed and money collected. 15 Estimated No tier 4.5
Fill machines with products, ingredients, money, and other supplies. 15 Estimated No tier 4.4
Collect coins and bills from machines, prepare invoices, and settle accounts with concessionaires. 15 Estimated No tier 4.3
Test machines to determine proper functioning. 15 Estimated No tier 4.2
Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers. 15 Estimated No tier 4.1
Adjust machine pressure gauges and thermostats. 15 Estimated No tier 4.1
Clean and oil machine parts. 15 Estimated No tier 4.0
Disassemble and assemble machines, according to specifications and using hand and power tools. 15 Estimated No tier 3.7

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 53% of the role's importance-weighted task work. 53% of the work is something AI can address at some tier, and 47% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
26,410
Median annual wage
$47,450
Middle half of earners
$39,760 to $58,110
Projected change, 2024 to 2034
-2.9%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Coin, Vending, and Amusement Machine Servicers and Repairers and AI

Will AI replace Coin, Vending, and Amusement Machine Servicers and Repairers?

Not on current evidence. None of the 18 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 19 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Coin, Vending, and Amusement Machine Servicers and Repairers?

19 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.

Which Coin, Vending, and Amusement Machine Servicers and Repairers tasks can AI already do?

None reaches 60 yet. The most exposed task is: Record transaction information on forms or logs, and notify designated personnel of discrepancies, at 50 out of 100.

What AI model tier does this role need?

A standard-tier model or lower covers 53% of the role's importance-weighted task work, and 47% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Coin, Vending, and Amusement Machine Servicers and Repairers, and what do they earn?

26,410 people in the United States, with a median annual wage of $47,450 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -2.9% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Coin, Vending, and Amusement Machine Servicers and Repairers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/coin-vending-and-amusement-machine-servicers-and-repairers

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