AI Resilience Report forCoin, Vending, and Amusement Machine Servicers and Repairers

The good news for anyone curious about this job is that the "hands-on" parts — filling machines, cleaning parts, and physically fixing things — are still very much human work. What's changing is the paperwork and planning around those service calls. Today's vending and amusement machines are increasingly internet-connected, and AI is being layered on top of that data.

A recent industry survey reported that the global installed base of connected vending machines reached an estimated 8.1 million units in 2025, with Berg Insight forecasting growth to nearly 11.7 million connected vending machines by 2030.

That connectivity is what AI uses. Trade publication Vending Times explains that most predict the global smart vending machine market will grow at a 12-16% clip over the next several years, likely resulting in more proactive machine service and tighter inventory replenishment rather than static schedules. At NAMA 2026 — the big vending trade show — coverage by Retail Automation Systems noted that AI continues to drive automated retail innovation, with both edge AI and AI cloud technology playing important roles, including a hybrid edge-and-cloud architecture demonstrated by exhibitors like Grabot, Aeritek and Moneta Market.

In plain terms: AI flags a failing bill validator or a drifting cooler before a technician shows up, and it predicts which machines will run out of Coke before others — so route trips become smarter, not eliminated ^[1].

Still, AI isn't ready to take over. When Anthropic let its AI model run a small machine, the AI was assigned control of a vending machine and allowed to research products, set prices and coordinate orders with suppliers, while human staff handled physical restocking — and it made basic operational errors ^[2], accepting weird orders and even sending payments to accounts it had invented.

Adoption is happening, but unevenly. The strongest push is on the money side: a PaymentsJournal analysis from 2025 ^[3] shows cashless payments are surging in vending, and as Vending Times' market summary points out, the smart vending market is defined by internet connectivity, telemetry, and digital payments. Less cash means fewer coin pickups and fewer hand-written invoices — the very tasks O*NET rates as most automatable (82% and 65%).

Reasons adoption could be fast: operators are dealing with a skilled-trades labor shortage ^[4], and AI/IoT clearly saves money by cutting "ghost" service trips. Modern equipment is also arriving AI-ready out of the box, since payment devices and touchscreens typically come pre-equipped with connectivity and telemetry ^[5].

Reasons adoption could be slow: the physical work — opening machines, swapping motors, oiling rails, hauling broken arcade cabinets — still needs human hands, tools, and judgment. Retail Automation Systems also notes that fully robotic stores and restaurants have yet to scale, given the high investment required, the need for customer education and consumer privacy concerns. So if you're considering this career, think of AI as a smart dispatcher that hands you a better to-do list — not a replacement.

The empathy, problem-solving, and mechanical skills you bring are exactly what AI still can't do.