Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Computer and Office Repair:
45.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forComputer, Automated Teller, and Office Machine Repairers
$47,810 median salary•6,100 annual openings•SOC Code: 49-2011.00
Computer, Automated Teller, and Office Machine Repairers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
This career lands in "Somewhat Resilient" because AI is already taking over a big chunk of the paperwork side, like writing up repair logs, tracking time cards, and generating maintenance reports, but the hands-on physical work remains firmly human. No robot can yet climb into a jammed ATM, resolder a corroded circuit board, or troubleshoot a weird, one-of-a-kind problem on a customer's site, and that unpredictable physical work is the core of this job.
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This career lands in "Somewhat Resilient" because AI is already taking over a big chunk of the paperwork side, like writing up repair logs, tracking time cards, and generating maintenance reports, but the hands-on physical work remains firmly human. No robot can yet climb into a jammed ATM, resolder a corroded circuit board, or troubleshoot a weird, one-of-a-kind problem on a customer's site, and that unpredictable physical work is the core of this job.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Computer and Office Repair
Updated Quarterly
How is AI changing Computer and Office Repair jobs?
If you're wondering whether AI is coming for repair jobs like fixing ATMs, computers, and office machines, the honest answer is: it's already reshaping the paperwork side, but the hands-on side is still very human. AI is aggressively targeting the recordkeeping tasks — the repair bills, time cards, and equipment maintenance logs — which matches why those tasks show 75–88% automation scores. Deloitte's survey of 900 field service leaders [1] found that 40% of organizations currently use GenAI for analysis, reporting, technician assistance and/or task automation, and nearly all field service organizations (95%) have deployed some form of AI, with 85% planning to increase their AI investments over the next one to two years.
In the ATM world specifically, ATMIA describes 2026 [2] as the era of the "Super ATM," where AI-driven systems power predictive resilience and analyze over 200 data points per second to flag issues before they cause failures. But the physical work — soldering a board, laying cable, or driving to a customer site — remains firmly human. Technicians of America notes [3] that technician roles are among the most AI-resistant jobs due to their hands-on, site-specific nature and unpredictable troubleshooting demands, so AI is largely augmenting repairers, not replacing them.
Sources
How fast is AI adoption growing for Computer and Office Repair?
Adoption is moving fast on the software side because the return on investment is obvious and the tools are already commercial. Salesforce reports [4] that field service organizations using AI in scheduling and dispatch see 57% report higher revenue per job, and CX Dive notes [5] leaders are turning to AI specifically to give technicians more time with customers. Labor conditions push adoption too: 66% of field service employers report mobile worker turnover rose [4] over the past two years, with insufficient training on new technology ranking as the top driver, meaning companies are leaning on AI to cover talent gaps.
Adoption will stay slower for the physical repair itself — robots can't yet climb into a jammed ATM cash cassette or resolder a corroded connector — so expect your role to shift toward interpreting AI diagnostics and handling the tricky, judgment-heavy repairs machines can't touch.
Sources
Will AI replace Computer and Office Repair?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 45.3% AI Resilience Score reflects real pressure on this career, mostly on the administrative side. Repair logs, maintenance records, and scheduling are already being automated fast, and nearly all field service organizations have deployed some form of AI, with 85% planning to increase investment over the next one to two years [1]. In the ATM world, AI systems now analyze over 200 data points per second to flag problems before they cause failures [2]. That kind of predictive work is increasingly machine territory.
But the physical repair itself is a different story. Soldering a corroded connector, troubleshooting an unpredictable fault on-site, or climbing into a jammed ATM cassette still requires human hands and judgment. Technician roles rank among the most AI-resistant jobs precisely because of their hands-on, site-specific, and unpredictable nature [3].
The honest catch is that employer demand is soft through 2034, so this field is not growing fast enough to absorb everyone who enters it. The repairers who adapt by learning to interpret AI diagnostics and handle the complex jobs machines cannot touch will be in the strongest position. The job is changing more than it is disappearing.
Sources
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Latest AI news for Computer and Office Repair
These articles provide valuable insights for students pursuing careers as Computer, Automated Teller, and Office Machine Repairers. While AI is impacting many sectors, the risk of job displacement in this field is moderate, with a score of 29/100 indicating that many tasks still require human expertise. For instance, the "Will AI Replace Computer, Automated Teller, and Office Machine..." article highlights specific tasks at risk, but also emphasizes skills that remain valuable. Understanding these dynamics can help students build resilience in their careers by focusing on developing skills that machines cannot easily replicate.
Will AI Replace Computer, Automated Teller, and Office Machine ...
aitakeovertracker.com • 9/20/2026
Computer, Automated Teller, and Office Machine Repairers: Medium AI risk (score: 29/100, higher than 32% of occupations). Full task-by-task breakdown, ...
Computer, Automated Teller, and Office Machine Repairers
www.bls.gov • 9/20/2026
Repair, maintain, or install computers, word processing systems, automated teller machines, and electronic office machines, such as duplicating and fax machines ... Read more
Will AI Replace Computer and ATM Repairers in 2026?
aicareerindex.com • 9/20/2026
Computer and ATM Repairers face direct AI substitution risk in 2026. See which tasks substitute, which skills stay durable, and the 6-month plan.
Computer, Automated Teller, and Office Machine Repairers: AI Risk ...
www.willaitakemyjob.app • 9/20/2026
Computer, Automated Teller, and Office Machine Repairers: AI displacement risk 30/100 (lower risk), from 6 research sources. Get your personal score free in ...
AI is already taking white-collar jobs. Economists warn there's 'much more in the tank'
www.cnbc.com • 10/22/2025
Across banking, the auto sector and retail, executives are warning employees and investors that AI is taking over jobs.
More Career Info
Career: Computer, Automated Teller, and Office Machine Repairers
They fix and maintain computers, ATMs, and office machines to ensure they work properly and efficiently.
Parent Careers
Employment & Wage Data
Median Wage
$47,810
Jobs (2025)
72,100
Growth (2025-35)
-3.0%
Annual Openings
6,100
Education
Some college, no degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Travel to customers' stores or offices to service machines or to provide emergency repair service.
2
Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.
3
Lay cable and hook up electrical connections between machines, power sources, and phone lines.
4
Assemble machines according to specifications, using hand or power tools and measuring devices.
5
Clean, oil, or adjust mechanical parts to maintain machines' operating efficiency and to prevent breakdowns.
6
Reassemble machines after making repairs or replacing parts.
7
Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
