62
/100

SOC 49-9091

Coin, Vending, and Amusement Machine Servicers and Repairers

High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

28,260

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$31K โ€“ $65K

Projected Growth

๐Ÿ“ˆ

-2.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Coin, Vending, and Amusement Machine Servicers and Repairers face a risk score of 62/100 โ€” 18 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($1K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 62/100, Coin, Vending, and Amusement Machine Servicers and Repairers faces moderate automation pressure. While tasks like ai parts inventory and supply chain optimization are increasingly handled by AI, the role retains significant human elements. The 28,260 workers in this occupation should focus on strengthening skills in working in confined, elevated, or hazardous spaces and diagnosing novel equipment failures through physical inspection to stay ahead. The role will likely evolve rather than disappear.

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

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI parts inventory and supply chain optimization

2

Automated fault detection via IoT sensor networks

3

Augmented reality-guided remote diagnostics

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Adapting repairs to non-standard or legacy equipment

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Fill machines with products, ingredients, money, and other supplies.

โ€ข

Inspect machines and meters to determine causes of malfunctions and fix minor problems such as jammed bills or stuck products.

โ€ข

Test machines to determine proper functioning.

โ€ข

Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers.

โ€ข

Maintain records of machine maintenance and repair.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Presentation software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Computers and Electronics

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$47K
+$1K

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth-2.9%
-6.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Electrical Power-Line Installers and Repairers28$93K83%
Supervisors of Installation, Maintenance, and Repair Workers33$78K73%