Gini Loh System Tools

AI Automation Index

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

Task-level automation exposure for Coin, Vending, and Amusement Machine Servicers and Repairers: 18 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

35% weighted task index

18 of 18 tasks scored

Median Salary

$47,450 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

26,410 people hold this job — size, not growth

Projected 2025–35

-3.4% employment change

3,800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 49 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$26,990 – $62,350

Highest medians

Rhode Island $62,350
New York $60,010
New Jersey $59,770
Washington $58,750
Arizona $56,450

Lowest medians

Puerto Rico $26,990
Ohio $37,950
West Virginia $38,190
Alabama $40,670
Mississippi $41,040

State figures come from the 49-9091 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 35%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 47%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 19%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 7/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

18 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 29%

5 tasks

Medium exposure (≥ 35%) 9%

2 tasks

Low exposure (below 35%) 62%

11 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#13835 · Core · 10% automatable

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

physical manipulation — Physical maintenance of machinery

Maintain work equipment or machinery.
#13839 · Core · 18% automatable

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

visual inspection — Locating wear and damage requires physical inspection

Inspect mechanical equipment to locate damage, defects, or wear.
#13840 · Core · 28% automatable

Test machines to determine proper functioning.

physical manipulation — Hands-on mechanical testing in physical environment

Test mechanical equipment to ensure proper functioning.
#13846 · Core · 10% automatable

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

physical manipulation — Manual replacement of mechanical parts

Replace worn, damaged, or defective mechanical parts.
#13845 · Core · 80% automatable

Maintain records of machine maintenance and repair.

text generation — Log maintenance and repair records from data

Maintain repair or maintenance records.
#13842 · Core · 11% automatable

Clean and oil machine parts.

physical manipulation — Physical lubrication task requiring hands and access

Clean equipment, parts, or tools to repair or maintain them in good working order. Lubricate equipment to allow proper functioning.
#13848 · Core · 75% automatable

Order parts needed for machine repairs.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#13847 · Core · 13% automatable

Adjust and repair coin, vending, or amusement machines and meters and replace defective mechanical and electrical parts, using hand tools, soldering irons, and diagrams.

physical manipulation — Hands-on equipment adjustment for performance

Adjust equipment to ensure optimal performance. Repair worn, damaged, or defective mechanical parts.
#13843 · Core · 80% automatable

Record transaction information on forms or logs, and notify designated personnel of discrepancies.

text generation — Document routine operational activities from inputs

Document operational activities.
#13836 · Supplemental · 80% automatable

Keep records of merchandise distributed and money collected.

text generation — Document routine operational activities from inputs

Document operational activities.
#13837 · Supplemental · 35% automatable

Collect coins and bills from machines, prepare invoices, and settle accounts with concessionaires.

physical manipulation — In-person payment handling; some digital automation

Collect payments for goods or services.
#13838 · Supplemental · 5% automatable

Make service calls to maintain and repair machines.

situated mobility — Physical travel to sites requires human mobility

Travel to work sites to perform installation, repair or maintenance work.
#13844 · Supplemental · 15% automatable

Adjust machine pressure gauges and thermostats.

physical manipulation — Hands-on equipment adjustment for performance

Adjust equipment to ensure optimal performance.
#13849 · Supplemental · 5% automatable

Disassemble and assemble machines, according to specifications and using hand and power tools.

physical manipulation — Dismantling heavy machinery is physical trade work

Assemble mechanical components or machine parts. Dismantle heavy equipment or machinery.
#13841 · Supplemental · 50% automatable

Contact other repair personnel or make arrangements for the removal of machines in cases where major repairs are required.

decision support — Equipment diagnosis aided; hands-on fix is human

Confer with coworkers to resolve equipment problems.
#13852 · Supplemental · 10% automatable

Transport machines to installation sites.

situated mobility — Driving vehicles at work sites is situated mobility

Drive trucks or other vehicles to or at work sites.
#13851 · Supplemental · 78% automatable

Refer to manuals and wiring diagrams to gather information needed to repair machines.

information retrieval — Technical reading for maintenance well handled

Read technical information needed to perform maintenance or repairs.
#13850 · Supplemental · 8% automatable

Install machines, making the necessary water and electrical connections in compliance with codes.

physical manipulation — Appliance installation requires physical labor

Install home appliances.
Embed this calculator on your site ↓

Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.

<div class="giniloh-calculator-embed" data-calculator="coin-vending-and-amusement-machine-servicers-and-repairers"></div> <script src="https://giniloh.com/embed.js" async></script>

Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

Related Article

Engineer at work

Best AI Proof Jobs in a Changing Market

Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.

Read Article ->