AI impact · verified capabilities
How AI is changing the work of Coin, Vending, and Amusement Machine Servicers and Repairers
Our reviewed registry links 4 verified AI capabilities to tasks that are part of this occupation. This shows where AI tools can already assist with specific tasks. It is not a forecast that the occupation will disappear, and it does not measure how widely any tool is used.
Last reviewed: 2026-09-27 · O*NET 49-9091.00 · Mapping confidence: medium
Task areas where verified capabilities connect
- Maintenance and repair
- Reconciliation and finance tasks
- Manufacturing and quality
- Field and technical work
- Inspection and safety
- Testing and QA
Verified capabilities (up to 5)
- NowEvidence: Strong
Work-order summaries
What AI can assist with: Summarizes work orders and service history when a user asks for it.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Microsoft - EmergingEvidence: Moderate
Voice updates to work orders
What AI can assist with: Suggests work-order updates from voice or text; technicians confirm them (preview).
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Microsoft - NowEvidence: Strong
AI-assisted predictive maintenance
What AI can assist with: Models analyze equipment sensor and operational data to detect degradation or forecast maintenance needs before visible failure.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Siemens - NowEvidence: Strong
AI-assisted thermal fault detection for electrical assets
What AI can assist with: Computer vision analyzes thermal images to identify hotspots or anomaly patterns that may indicate faults in electrical equipment.
Practical meaning: this can speed up part of the task, but still needs human direction and review.
Human responsibility: you review every output and keep the final decision.
Source: Scientific Reports
What remains human responsibility
Evidence shows a capability exists; it does not prove adoption in every workplace or full-task replacement.
Evidence limits
Each capability is verified from the cited source only. A source shows that a capability exists; it does not establish adoption, deployment depth or outcomes in any particular workplace.
Sources
- Microsoft — Summarize work orders with Copilot in Field Service
- Microsoft — AI-powered work order update
- Siemens — BlueScope saves ~2,000 hours with predictive maintenance
- IBM — Predictive models
- Scientific Reports — AI-based thermal image recognition for electrical equipment fault diagnosis
- FLIR — AI-Driven Asset Intelligence for Reliability with Flir iXX and Styra
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