Computer, Automated Teller, and Office Machine Repairers

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.4), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

• Help me reinstall software programs or adjust settings on existing software to fix machine malfunctions.

  From: Reinstall software programs or adjust settings on existing software to fix machine malfunctions. · 17.1% of measured AI use · feedback loop

• Help me install and configure new equipment, including operating software or peripheral equipment.

  From: Install and configure new equipment, including operating software or peripheral equipment. · 9.2% of measured AI use · learning

• Help me advise customers concerning equipment operation, maintenance, or programming.

  From: Advise customers concerning equipment operation, maintenance, or programming. · 1.8% of measured AI use · learning

• Help me analyze equipment performance records to assess equipment functioning.

  From: Analyze equipment performance records to assess equipment functioning. · 0.8% of measured AI use · learning

Tasks

All 25 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

• Reassemble machines after making repairs or replacing parts. Core · importance 4.4
• Converse with customers to determine details of equipment problems. Core · importance 4.4
• Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices. Core · importance 4.3
• Advise customers concerning equipment operation, maintenance, or programming. Core · importance 4.3
• Align, adjust, or calibrate equipment according to specifications. Core · importance 4.2
• Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment. Core · importance 4.2
• Travel to customers' stores or offices to service machines or to provide emergency repair service. Core · importance 4.2
• Maintain parts inventories and order any additional parts needed for repairs. Core · importance 4.2
• Operate machines to test functioning of parts or mechanisms. Core · importance 4.2
• Reinstall software programs or adjust settings on existing software to fix machine malfunctions. Core · importance 4.2
• Clean, oil, or adjust mechanical parts to maintain machines' operating efficiency and to prevent breakdowns. Core · importance 4.2
• Maintain records of equipment maintenance work or repairs. Core · importance 4.1
• Complete repair bills, shop records, time cards, or expense reports. Core · importance 4.1
• Test new systems to ensure that they are in working order. Core · importance 4.1
• Install and configure new equipment, including operating software or peripheral equipment. Core · importance 4.0
• Analyze equipment performance records to assess equipment functioning. Core · importance 3.9
• Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments. Core · importance 3.8
• Update existing equipment, performing tasks such as installing updated circuit boards or additional memory. Core · importance 3.7
• Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs. Core · importance 3.7
• Assemble machines according to specifications, using hand or power tools and measuring devices. Core · importance 3.7
• Lay cable and hook up electrical connections between machines, power sources, and phone lines. Core · importance 3.5
• Enter information into computers to copy programs from one electronic component to another or to draw, modify, or store schematics. Core · importance 3.5
• Calibrate testing instruments. Supplemental · importance 3.2
• Fill machines with toners, inks, or other duplicating fluids. Core · importance 3.1
• Train new repairers. Core · importance 3.1

Work activities

• Confer with customers or users to assess problems.
• Reassemble equipment after repair.
• Travel to work sites to perform installation, repair or maintenance work.
• Install programs onto computer or computer-controlled equipment.
• Train customers in the use of products.
• Test mechanical systems to ensure proper functioning.
• Assemble mechanical components or machine parts.
• Test mechanical equipment to ensure proper functioning.
• Maintain repair or maintenance records.
• Maintain inventories of materials, equipment, or products.
• Order materials, supplies, or equipment.
• Install electrical components, equipment, or systems.
• Calibrate equipment to specifications.
• Align equipment or machinery.
• Test electrical circuits or components for proper functioning.
• Adjust equipment to ensure optimal performance.
• Replace worn, damaged, or defective mechanical parts.
• Repair worn, damaged, or defective mechanical parts.
• Document operational activities.
• Disassemble equipment to inspect for deficiencies.
• Clean equipment, parts, or tools to repair or maintain them in good working order.
• Lubricate equipment to allow proper functioning.
• Enter codes or other information into computers.
• Read technical information needed to perform maintenance or repairs.
• Lay cables to connect equipment.
• Connect electrical components or equipment.
• Analyze test or performance data to assess equipment operation.
• Maintain work equipment or machinery.
• Train others in operational procedures.

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Abilities

Essential skills

Transferable skills

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

• Active Listening Common Skill
• Speech Recognition Specialized Skill
• Microsoft Excel Common Skill
• Finger Dexterity Common Skill
• Critical Thinking Common Skill
• Visualization Specialized Skill
• Information Ordering Specialized Skill
• Complex Problem Solving Common Skill
• Time Management Common Skill
• Equipment Selection Specialized Skill
• Equipment Maintenance Specialized Skill
• Reading Comprehension Common Skill
• Inductive Reasoning Common Skill
• Deductive Reasoning Common Skill
• English Language Common Skill
• Writing Common Skill
• Unix Specialized Skill
• ServiceNow Specialized Skill
• Microsoft Word Common Skill
• Microsoft Windows Common Skill
• Microsoft PowerPoint Common Skill
• Microsoft Outlook Common Skill
• Microsoft Access Specialized Skill
• Linux Specialized Skill
• Installation Specialized Skill
• Adobe Acrobat Specialized Skill
• Active Learning Common Skill
• Social Perceptiveness Common Skill
• Systems Analysis Specialized Skill
• Negotiation Common Skill
• Learning Strategies Specialized Skill
• Instructing Specialized Skill
• Telecommunications Specialized Skill
• Depth Perception Common Skill
• Norton Antivirus Specialized Skill
• Microsoft Office Live Meeting Specialized Skill
• Microsoft Internet Explorer Common Skill
• IBM Notes Specialized Skill
• Email Software Specialized Skill
• Database Software Specialized Skill

Showing the top 40 of 49.

Tools & technology

Showing the top 40 of 41.

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

How to get in

Job zone

Zone 3 — Job Zone Three: Medium Preparation Needed

Education

Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.

Typical entry-level education

Some college, no degree · BLS, the typical path — not a requirement

Related experience

Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.

Preparation level

SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Mechanic and Repair Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Career interests (Holland / RIASEC)

Work styles

Wages & employment

U.S. · annual wages (BLS OEWS)

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Related occupations

Part of the Advanced Manufacturing and Marketing & Sales career clusters.

• Electrical and Electronics Repairers, Commercial and Industrial Equipment · 49-2094.00 Compare →
• Calibration Technologists and Technicians · 17-3028.00 Compare →
• Telecommunications Equipment Installers and Repairers, Except Line Installers · 49-2022.00 Compare →
• Electrical and Electronic Engineering Technologists and Technicians · 17-3023.00 Compare →
• Coin, Vending, and Amusement Machine Servicers and Repairers · 49-9091.00 Compare →
• Electromechanical Equipment Assemblers · 51-2023.00 Compare →
• Computer User Support Specialists · 15-1232.00 Compare →
• Robotics Technicians · 17-3024.01 Compare →
• Electrical and Electronics Installers and Repairers, Transportation Equipment · 49-2093.00 Compare →
• Industrial Machinery Mechanics · 49-9041.00 Compare →
• Medical Equipment Repairers · 49-9062.00 Compare →
• Electronic Equipment Installers and Repairers, Motor Vehicles · 49-2096.00 Compare →

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Computer, Automated Teller, and Office Machine Repairers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• Microsoft “Working with AI” working-with-ai Microsoft Research
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
• ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
• IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
• Frey & Osborne (2013) frey-osborne-automation academic
• Dingel & Neiman (2020) dingel-neiman-workathome academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-role-49-2011-00,
  title  = {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/roles/role-49-2011-00}
}