Computer, Automated Teller, and Office Machine Repairers

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Complete repair bills, shop records, time cards, or expense reports.66

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Analyze equipment performance records to assess equipment functioning.59
• Maintain records of equipment maintenance work or repairs.58
• Maintain parts inventories and order any additional parts needed for repairs.49

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs.29
• Advise customers concerning equipment operation, maintenance, or programming.33

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 44 puts Computer, Automated Teller, and Office Machine Repairers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 1 of 20 analyzed tasks lean automatable, 17 augmentable, and 2 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $47,810median wage
• 65,600employed
• 7,600annual openings
• -0.9%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Electrical and Electronics Repairers, Commercial and Industrial Equipment 47
• Telecommunications Equipment Installers and Repairers, Except Line Installers 35
• Electrical and Electronic Engineering Technologists and Technicians 54
• Electromechanical Equipment Assemblers 41
• Robotics Technicians 54
• Coin, Vending, and Amusement Machine Servicers and Repairers 45

FAQ — Computer, Automated Teller, and Office Machine Repairers

What does a score of 44 mean for a Computer, Automated Teller, and Office Machine Repairers?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 44 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Complete repair bills, shop records, time cards, or expense reports. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The most durable responsibilities are: Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs; Advise customers concerning equipment operation, maintenance, or programming. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.