Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Computer Occupations (misc):
52.2%
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.
Low
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%).
High
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%).
High
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 Occupations, All Other
$116,580 median salary•27,000 annual openings•SOC Code: 15-1299.00
Computer Occupations, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career earns a "Mostly Resilient" label because, while AI is genuinely taking over a lot of the repetitive tasks (like monitoring logs, flagging errors, and routine system maintenance), humans are still needed to supervise those AI tools, handle unexpected problems, and make judgment calls when things go wrong. The role is shifting more than disappearing, moving from "person who runs the computers" to "person who oversees the AI that runs the computers," which actually keeps skilled workers in the picture.
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This career earns a "Mostly Resilient" label because, while AI is genuinely taking over a lot of the repetitive tasks (like monitoring logs, flagging errors, and routine system maintenance), humans are still needed to supervise those AI tools, handle unexpected problems, and make judgment calls when things go wrong. The role is shifting more than disappearing, moving from "person who runs the computers" to "person who oversees the AI that runs the computers," which actually keeps skilled workers in the picture.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Computer Occupations (misc)
Updated Quarterly
How is AI changing Computer Occupations (misc) jobs?
The tasks that make up this catch-all computer job — logging system events, watching for errors, running data through spreadsheets, and keeping hardware humming — are exactly the kinds of repetitive digital chores that today's AI is best at. A category called "AIOps" (AI for IT operations) is now moving from monitoring dashboards to actually fixing things on its own. According to a summary of Gartner's 2026 Hype Cycle for AI in IT Operations, a quarter of the work performed by IT infrastructure and operations people will be handled by AI by 2030 [1], and 60% of enterprises will deploy agentic AI in IT operations by 2029, up from fewer than ten percent today [1].
SHRM's 2026 research puts real numbers behind this: computer and mathematical occupations already have the highest share of employment with at least 50% of tasks automated, at 51.2% [2]. Most of this is augmentation today — AI drafts runbooks, analyzes logs, and suggests fixes while a human clicks "approve" — but the balance is tipping. Gartner expects that by 2029 only 20% of AI-suggested actions will need human approval, down from 80% in 2025 [1].
Data center operators are seeing the same shift, with new tools automating electrical, cooling, physical security, and daily administration [3] tasks that used to require a human on shift.
Sources
How fast is AI adoption growing for Computer Occupations (misc)?
Adoption is moving fast because the software is cheap compared to 24/7 staffing, and vendors ship AIOps features built into products companies already own. ACM's own career digest reports that tech businesses have cut more than 123,000 jobs so far in 2026, a year-over-year increase of 66%, with AI the most common factor driving the cuts [4], and TechCrunch has been keeping a running list of major tech layoffs in 2026 where employers cited AI [5]. But there are real brakes, too.
Gartner warns that by 2028, 40% of I&O organizations using agentic AI at scale will experience a business-critical service disruption, up from less than 1% in 2026 [1] — meaning trust, safety, and compliance concerns will keep humans in the loop for supervising, training junior operators, and handling weird edge cases. The good news for young people: those uniquely human skills — judgment, coordinating people, explaining problems clearly, and taking responsibility when something breaks — are exactly what SHRM identifies as nontechnical barriers that slow displacement [2]. If you're curious about this field, learning to direct AI agents (prompt engineering, guardrail design, incident response) is a smart bet, because the role is shifting from "operating computers" to "supervising the AI that operates computers."
Sources
Will AI replace Computer Occupations (misc)?
No. We don't think AI will replace Computer Occupations, All Other, though we do expect the job to change.
Our 52.2% AI Resilience Score reflects a real tension: the routine digital tasks at the core of this role, things like monitoring logs, running diagnostics, and keeping hardware running, are exactly what AI is built to absorb. Computer and mathematical occupations already have the highest share of workers with at least half their tasks automated [2], and a category called AIOps is moving fast from flagging problems to fixing them without human input [1].
What keeps this role alive is the part AI still handles poorly. Judgment calls when something breaks in an unexpected way, explaining a failure to a nervous manager, deciding whether to trust an AI-suggested fix on a critical system: those stay human. Gartner expects that by 2028, four in ten organizations using agentic AI at scale will experience a serious service disruption [1], which means someone still has to supervise, audit, and take responsibility.
The economic picture supports cautious optimism. Employer demand and earning potential both score well in our analysis. The smart move for anyone entering this field is learning to direct AI agents rather than just operate systems. The job is shifting, not disappearing.
Sources
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Latest AI news for Computer Occupations (misc)
These articles reveal that careers in "Computer Occupations, All Other" are relatively resilient to AI changes, with a score of 52.2% in AI resilience. For instance, while early-career roles may face a 16% decline due to AI, many positions will evolve rather than disappear, as highlighted by research from UNC. Additionally, high-paying roles like AI architects and product managers are emerging, offering new opportunities. Students can be optimistic about adapting to AI's impact while focusing on skills that enhance their employability in a changing landscape.
AI Resilience Report for Computer Occupations, All Other ...
www.airesilience.org • 9/20/2026
Aug 30, 2026 — Computer Occupations, All Other have a 52.2% AI Resilience Score — slightly more resilient than most careers. Free AI impact analysis from
How AI Affects Careers in Computing - UNC Computer Science
cs.unc.edu • 9/20/2026
Recent global and U.S.-based research suggests that AI is more likely to change job tasks, rather than eliminate jobs, and may even create new demand in ... Read more
10 Highest-Paying AI Jobs & Salaries in 2026
ischool.syracuse.edu • 9/20/2026
Feb 25, 2026 — 1. Chief AI officer (CAIO) · 2. AI architect · 3. AI product manager · 4. Machine learning platform specialist · 5. AI research scientist · 6. Data ... Read more
The Impact of AI on the Early-career Labor Market
www.naceweb.org • 9/20/2026
May 13, 2026 — A 2025 Stanford report found substantial employment declines (16%) for early-career workers in occupations most exposed to AI, such as software ... Read more
AI Resilience Report | How is AI impacting my job?
www.linkedin.com • 9/20/2026
Get AI resilience scores for 1000+ careers. See how AI will change your job using data from Anthropic, Microsoft, and more.
More Career Info
Career: Computer Occupations, All Other
They solve unique computer problems by designing and maintaining systems or software, ensuring technology runs smoothly in ways not covered by other specific computer jobs.
Parent Careers
Employment & Wage Data
Median Wage
$116,580
Jobs (2025)
471,200
Growth (2025-35)
+5.1%
Annual Openings
27,000
Education
Bachelor's 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
Supervise and train peripheral equipment operators and computer operator trainees.
2
Load peripheral equipment with selected materials for operating runs, or oversee loading of peripheral equipment by peripheral equipment operators.
3
Oversee the operation of computer hardware systems, including coordinating and scheduling the use of computer terminals and networks to ensure efficient use.
4
Help programmers and systems analysts test and debug new programs.
5
Notify supervisor or computer maintenance technicians of equipment malfunctions.
6
Answer telephone calls to assist computer users encountering problems.
7
Enter commands, using computer terminal, and activate controls on computer and peripheral equipment to integrate and operate equipment.
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.
