How exposed to AI is a Computer, Automated Teller, and Office Machine Repairer?

Of the 25 tasks O*NET lists for computer, automated teller, and office machine repairers, 2 could be done in half the time with a chat window today. 17 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
ATM Technician (Automated Teller Machine Technician)Computer Repair TechnicianComputer TechnicianCopier TechnicianCustomer Service EngineerField EngineerField Service EngineerField Service TechnicianField TechnicianService Technician
Reachable today Needs software built first Cannot be sped up
25
tasks rated for this occupation
0%
hold a degree, from a survey of 22
86k
people do this job in the US
4 of 50
least protected in installation and repair

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

2
  • Maintain records of equipment maintenance work or repairs
  • Complete repair bills, shop records, time cards, or expense reports

Only with software built on top

6
  • Converse with customers to determine details of equipment problems
  • Maintain parts inventories and order any additional parts needed for repairs
  • Reinstall software programs or adjust settings on existing software to fix machine malfunctions
  • Install and configure new equipment, including operating software or peripheral equipment
  • Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments
  • Enter information into computers to copy programs from one electronic component to another or to draw, modify, or store schematics

Cannot be sped up

17
  • Reassemble machines after making repairs or replacing parts
  • Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices
  • Advise customers concerning equipment operation, maintenance, or programming
  • Align, adjust, or calibrate equipment according to specifications
  • Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment
  • Travel to customers' stores or offices to service machines or to provide emergency repair service
  • Operate machines to test functioning of parts or mechanisms
  • Clean, oil, or adjust mechanical parts to maintain machines' operating efficiency and to prevent breakdowns
  • Test new systems to ensure that they are in working order
  • Analyze equipment performance records to assess equipment functioning
  • Update existing equipment, performing tasks such as installing updated circuit boards or additional memory
  • Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs
  • Assemble machines according to specifications, using hand or power tools and measuring devices
  • Lay cable and hook up electrical connections between machines, power sources, and phone lines
  • Fill machines with toners, inks, or other duplicating fluids
  • Train new repairers
  • Calibrate testing instruments
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.