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

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 32 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 32 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 comes from the published, rubric-scored data release rather than being generated when you open this page.

Which parts of this job are most durable?

The most durable responsibilities are: 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. 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.

Computer, Automated Teller, and Office Machine Repairers

Repair, maintain, or install computers, word processing systems, automated teller machines, and electronic office machines, such as duplicating and fax machines.

Also known as: Assembly Technician · Cash Register Mechanic · Cash Register Servicer · Adding Machine Mechanic · Business Machine Mechanic · Accounting Machine Mechanic

AI Task Exposure Score

Moderate exposure

More exposed than 43% of 968 occupations · Rank #532 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

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

Automatable 70/100 exposure

Most durable task

Travel to customers' stores or offices to service machines or to provide emergency repair service.

Durable 8/100 exposure

Useful next step

Make one change to the task mix

Pilot AI on one augmentable task, then document the judgment, relationships, and accountability you still own.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

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.70

Augmentable tasks

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

Maintain records of equipment maintenance work or repairs.65
Analyze equipment performance records to assess equipment functioning.55
Reinstall software programs or adjust settings on existing software to fix machine malfunctions.50

Most durable tasks

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

Travel to customers' stores or offices to service machines or to provide emergency repair service.8
Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.12
Reassemble machines after making repairs or replacing parts.15

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 32 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, 6 augmentable, and 13 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.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Electromechanical Equipment Assemblers

19 ▼ 13 pts lower

Skill overlap ≈ 56% · Related O*NET role; Electromechanical Equipment Assemblers is an adjacent path (Elevated band).

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.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

Automatable 1 task, averaging 70/100 exposure
Augmentable 6 tasks, averaging 48/100 exposure
Durable 13 tasks, averaging 21/100 exposure

score = (1×70 + 6×48 + 13×21) ÷ 20 ≈ 32

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Moderate) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Computer, Automated Teller, and Office Machine Repairers

Will AI replace Computer, Automated Teller, and Office Machine Repairers?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 32 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 32 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 comes from the published, rubric-scored data release rather than being generated when you open this page.
Which parts of this job are most durable?: The most durable responsibilities are: 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. 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.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology