Will AI replace Computer, Automated Teller, and Office Machine Repairers?

There is no dataset that measures "replacement." What we can do is put three independent, published measurements next to each other for Computer, Automated Teller, and Office Machine Repairers and let them stand on their own: how much of the work overlaps with what AI can do, what people who use AI in this job actually do with it today, and what the labor market is projected to do. None of these is a forecast of the role disappearing.

1. How much of the work overlaps with AI

Published exposure research places Computer, Automated Teller, and Office Machine Repairers at a moderate exposure level (around the 54th percentile across all occupations). Exposure measures the share of tasks that overlap with current AI capabilities — it is not a measure of how many of those tasks will actually be automated, or on what timeline, or whether the role as a whole goes away. · AI assistant applicability (Microsoft)

A second, independent read agrees on the order of magnitude: the ILO's 2025 global study — scored on the international ISCO-08 system and bridged to Computer, Automated Teller, and Office Machine Repairers through the published (approximate) O*NET-SOC crosswalk — places this work around the 44th percentile of 427 occupations, with about 24% of its tasks exposed (up from 21% in 2023). See the gradient →

2. What people actually do with AI here today

In observed AI conversations mapped to this occupation, usage leans toward automation — whole tasks handed to AI (63.9% of measured use) over working alongside it (33.4% augmentation-leaning). This is a sample of Claude.ai conversations, model-rated, not a census of the whole workforce. · Anthropic Economic Index

Tasks more often handed to AI

• Reinstall software programs or adjust settings on existing software to fix machine malfunctions. · 17.1% of measured use
• Install and configure new equipment, including operating software or peripheral equipment. · 9.2% of measured use
• Advise customers concerning equipment operation, maintenance, or programming. · 1.8% of measured use
• Analyze equipment performance records to assess equipment functioning. · 0.8% of measured use
• Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments. · 0.6% of measured use

Tasks where a human is still in the loop

• Advise customers concerning equipment operation, maintenance, or programming. · human still needed in 98.9% of cases
• Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments. · human still needed in 92.7% of cases
• Install and configure new equipment, including operating software or peripheral equipment. · human still needed in 91.0% of cases
• Analyze equipment performance records to assess equipment functioning. · human still needed in 86.8% of cases
• Reinstall software programs or adjust settings on existing software to fix machine malfunctions. · human still needed in 78.0% of cases

3. What the labor market is projected to do

The Bureau of Labor Statistics projects employment for this occupation as declining (-0.9% over 2024–34) , with roughly 7,600 openings projected per year (growth plus replacement). A projection is a model of the labor market, made before AI's full effect is known — but it is the closest thing we have to an official outlook. · BLS Employment Projections

The skills that travel either way

Whatever AI does to the tasks, these are the highest-importance capabilities this work runs on — the ones worth deepening because they transfer across how the job evolves.

• Computers and Electronics
• Customer and Personal Service
• Near Vision
• Oral Comprehension
• Mechanical

The honest bottom line

No single dataset says so — here is what the evidence actually measures. Exposure is task overlap, not a verdict. Observed use is a sample, not the whole workforce. The employment projection is a model, not a promise. They measure different things and they do not have to agree. Read them together, see the full Computer, Automated Teller, and Office Machine Repairers profile for the underlying numbers, and draw your own conclusion.

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@misc{singulariki-will-ai-replace-computer-automated-teller-and-office-machine-repairers,
  title  = {Will AI replace Computer, Automated Teller, and Office Machine Repairers?},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/questions/will-ai-replace-computer-automated-teller-and-office-machine-repairers}
}