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AI exposure report
Will AI replace Computer, Automated Teller, and Office Machine Repairers?
The core of your work stays human. For you, AI is mainly an amplifier.
Task exposure to today's AI
Low exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Computer, Automated Teller, and Office Machine Repairers?
Not entirely. Today's AI tools can take on about 25% of the typical work in this occupation, mostly: converse with customers to determine details of equipment problems. The parts that stay human include: Travel to customers' stores or offices to service machines or to provide emergency repair service.; Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.; Reassemble machines after making repairs or replacing parts..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 19 more tasks (46% of the week) in the full test.
Your human edge
- Travel to customers' stores or offices to service machines or to provide emergency repair service.
- Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.
- Reassemble machines after making repairs or replacing parts.
AI tools to try
ChatGPT / Claude for troubleshooting and manualsDiagnostic software with AI featuresService and work-order appsRelated roles
A 3-phase AI learning plan
Phase 1
AI as a troubleshooting partner
- Manuals and error codes explained with AI, checked against the manufacturer.
- Step-by-step diagnosis ideas.
- Work orders and service reports.
Project
For 10 real service calls, use AI to decode error codes and draft a step-by-step diagnosis plan, verify each against the manufacturer manual, and log accuracy and time to first fix.Phase 2
Less paperwork, better records
- Service reports from photos and voice notes.
- Parts lists and quotes.
- History of repairs to spot repeat faults.
Project
Build an AI workflow that turns job-site photos and voice notes into finished service reports and parts quotes, then compare paperwork minutes per call before and after over 20 calls.Phase 3
Specialise
- Diagnostics, electronics and connected equipment.
- Predictive maintenance basics.
- Train apprentices and colleagues.
Project
Analyse 12 months of your repair history with AI to flag the top 5 repeat faults, draft a predictive maintenance checklist per machine model, and run a 1-hour training session for apprentices.