Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They fix and maintain vending machines and arcade games, ensuring they work properly and people can enjoy using them.
Summary
This career is labeled as "Evolving" because while AI is making tasks like bookkeeping and payments more efficient, the core responsibilities—like repairing and restocking machines—still rely heavily on human skills. Many modern vending machines now have smart features that help predict issues before they occur, but the hands-on work and problem-solving abilities of humans remain crucial.
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Learn more about how you can thrive in this position
Summary
This career is labeled as "Evolving" because while AI is making tasks like bookkeeping and payments more efficient, the core responsibilities—like repairing and restocking machines—still rely heavily on human skills. Many modern vending machines now have smart features that help predict issues before they occur, but the hands-on work and problem-solving abilities of humans remain crucial.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Machine Servicers/Repairers
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Today’s vending machines already handle some tasks that used to be done by people. For example, many modern machines track sales and payments automatically. One industry report found that 65% of vending machines now accept cashless payments, and about 72% of transactions are cash-free [1].
This means operators no longer need to manually count all the coins – the machine logs it for them. “Smart” machines often have sensors and cameras that constantly monitor stock levels and cash. As one facilities report explains, some vendors’ machines “feature … real-time monitoring systems to track product activity and ensure cash accountability” [2]. These systems can alert service crews when supplies run low or if money doesn’t add up, which speeds up restocking and accounting.
Even researchers are testing IoT and AI tools that predict failures before they happen (so machines get fixed before they break), although these systems are mostly experimental right now.
Most of the manual tasks – like filling machines with snacks or drinks, clearing jams, and test-running them – still need human hands. These work involve flexible, hands-on problem-solving. You can’t easily load a robot into a truck to drive routes and reload a scattered vending machine.
For now, those chores remain done by people using skills like observation and simple mechanical fixes.

AI Adoption
Whether more AI tools spread in this field depends on costs, benefits, and customer needs. On the plus side, customer demand is pushing quick adoption of helpful tech. Sellers know people like easy, contactless payments and up-to-date machines.
In fact, the same report notes that adding “newer, more seamless payment methods” shows the vending industry’s “capacity for embracing technological innovation” [1]. Energy-saving and remote-monitoring features are also catching on (for example, some machines automatically adjust cooling or lighting to save power). When machines fail or run empty, owners benefit financially if sensors can tell them exactly what needs fixing or refilling in advance.
This reduces wasted visits and keeps customers happy, giving a clear economic incentive to use smart tech.
On the other hand, there are reasons adoption could be slow. Many vending operators are small businesses with tight budgets, so spending a lot on fancy AI or robots might not pay off at today’s prices. Also, new high-tech machines or add-ons have to prove that they really save money or sell more to justify their cost.
Finally, tasks in this job often happen in unpredictable environments (like pouring soda syrup or dealing with messy jams), which are still hard for robots to handle reliably. Because of that, people still play a critical role: human servicers bring troubleshooting skills, flexibility, and customer interaction that machines can’t match yet.
In short, AI and automation are quietly helping with bookkeeping, cashless payments, and even energy efficiency [1] [2], which makes the job easier and less error-prone. But the core repairing and stocking work requires human dexterity and judgement, so for now this career will still need people on the job. As technology improves, vending-machine workers may find themselves using digital tools and sensors as assistants – and their human skills will remain valuable in keeping everything running smoothly [1] [2].

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Median Wage
$47,350
Jobs (2024)
32,500
Growth (2024-34)
-2.9%
Annual Openings
3,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers.
Adjust and repair coin, vending, or amusement machines and meters and replace defective mechanical and electrical parts, using hand tools, soldering irons, and diagrams.
Install machines, making the necessary water and electrical connections in compliance with codes.
Adjust machine pressure gauges and thermostats.
Disassemble and assemble machines, according to specifications and using hand and power tools.
Transport machines to installation sites.
Fill machines with products, ingredients, money, and other supplies.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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