Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Computer Occupations (misc):
53.3%
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.
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forComputer Occupations, All Other
$108,970 median salary•31,300 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 5 sources.
This career earns a "Mostly Resilient" label because while AI is taking over the routine, repetitive parts of the job (like basic help-desk calls and first-pass diagnostics), the trickier work of troubleshooting unusual problems, coordinating with people, and making judgment calls when systems behave strangely still needs a human touch. The broader computer and math field is actually projected to grow by about 10 percent over the next decade, partly because building and managing AI systems creates new demand for computing professionals.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
This career earns a "Mostly Resilient" label because while AI is taking over the routine, repetitive parts of the job (like basic help-desk calls and first-pass diagnostics), the trickier work of troubleshooting unusual problems, coordinating with people, and making judgment calls when systems behave strangely still needs a human touch. The broader computer and math field is actually projected to grow by about 10 percent over the next decade, partly because building and managing AI systems creates new demand for computing professionals.
Read full analysisAnalysis of Current AI Resilience
Computer Occupations (misc)
Updated Quarterly
How is AI changing Computer Occupations (misc) jobs?
The routine pieces of this job — watching systems for errors, sorting output, answering basic help-desk calls, and running first-pass diagnostics — are exactly the kinds of structured, rule-based tasks AI handles well today. IT support technicians provide a similar example. AI can resolve routine tickets and automate diagnostics.
As digital infrastructure expands and systems grow more complex, the need for advanced troubleshooting and systems oversight may rise. The IEEE Computer Society's 2026 Technology Predictions [1] frame this shift bluntly, telling computing professionals that "AI is no longer a tool; it is your partner" and urging them to lead a transition toward autonomous agents that increasingly run IT work.
Importantly, this is mostly augmentation, not wholesale replacement. The Dallas Fed [2] finds that AI may substitute for entry-level workers but augment the efforts of experienced workers, with wages rising in AI-exposed occupations that place a high value on a worker's tacit knowledge and experience. The harder parts of this role — judgment calls when systems behave strangely, coordinating with technicians, helping programmers debug — still need humans.
As Harvard Business Review summarized in March 2026 [3], AI is reshaping rather than erasing most knowledge jobs.
Sources
How fast is AI adoption growing for Computer Occupations (misc)?
Adoption in IT operations is moving fast because the tools are commercially mature and the savings are obvious. BCG's April 2026 analysis [4] reports that over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI, and notes that contact center tools are among the most mature applications, yet overall market penetration remains limited relative to total industry size — so there's runway for more change. That said, BCG also notes that full worker substitution tends to roll out more slowly than augmentation because companies have to redesign workflows and keep human escalation layers [4].
The labor-market picture is mixed but not bleak. The BLS Monthly Labor Review's 2024–34 projections [5] project that the computer and mathematical occupational group is projected to see job growth of 10.1 percent over the 2024–34 decade, the second-fastest of all 22 groups and over 3 times as fast as the all-occupation average, partly because demand for AI technologies boosts employment demand for computer occupations involved in its development and implementation. The Dallas Fed adds a real-world caution: employment in the computer systems design and related services sector has declined 5 percent since late 2022, with the drop hitting younger workers hardest.
The takeaway for high schoolers: lean into the human skills — troubleshooting, communication, AI fluency, and supervising AI outputs — and this career still has a strong future.
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 53.3% AI Resilience Score reflects a real tension in this field. The routine parts of the work, things like monitoring systems for errors, running first-pass diagnostics, and handling basic help-desk requests, are exactly what AI handles well today. The IEEE Computer Society puts it plainly: AI is no longer just a tool but a partner, and computing professionals need to lead the shift toward more autonomous systems [1]. That shift is already underway, and it will keep moving.
What stays human is the harder stuff. Judgment calls when systems behave unexpectedly, coordinating across teams, and supervising AI outputs still need people. Experienced workers tend to benefit most here, with wages rising in AI-exposed roles where tacit knowledge matters [2]. The broader job market also supports a cautious optimism: the computer and mathematical occupational group is projected to grow 10.1 percent over the 2024 to 2034 decade, more than three times the all-occupation average [5].
The honest advice for anyone entering this field: build AI fluency early, focus on troubleshooting and communication, and get comfortable supervising AI tools rather than just using them. That is where the durable work lives.
Sources
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Latest AI news for Computer Occupations (misc)
These articles provide valuable insights for students pursuing "Computer Occupations, All Other." They highlight how AI is transforming roles rather than eliminating them, as seen in the Economist's piece, which notes rising employment and wages post-ChatGPT. Additionally, the discussion on AI exposure from Yale emphasizes the importance of adapting to AI's impact on job markets. Understanding these dynamics can foster resilience in your career, encouraging you to embrace AI tools to enhance your skills and remain competitive in a rapidly evolving landscape.
How AI Affects Careers in Computing
www.mtu.edu • 5/20/2026
Discover how AI is reshaping computing careers, which jobs are growing, and how to prepare for the AI-driven future. Explore professional insights, salary...
A top Anthropic engineer warns AI agents will transform every computer-based job in America — and it will be 'painful'
www.businessinsider.com • 2/22/2026
Claude Code's creator said Anthropic's AI tool can use a computer like a human, and people are just starting to get a sense of its power.
Labor Market AI Exposure: What Do We Know?
budgetlab.yale.edu • 2/19/2026
AI exposure metrics broadly agree with each other, but that they disagree with each other more on highly exposed occupations. The key point...
Why AI won’t wipe out white-collar jobs
www.economist.com • 1/26/2026
Artificial intelligence reshapes white-collar jobs rather than eliminating them, with employment and wages rising since ChatGPT's launch...
New evidence strongly suggests AI is killing jobs for young programmers
www.understandingai.org • 8/28/2025
It's a brutal time to be a recent computer science graduate.
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
$108,970
Jobs (2024)
472,000
Growth (2024-34)
+8.2%
Annual Openings
31,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Help programmers and systems analysts test and debug new programs.
2
Answer telephone calls to assist computer users encountering problems.
3
Notify supervisor or computer maintenance technicians of equipment malfunctions.
4
Type command on keyboard to transfer encoded data from memory unit to magnetic tape and assist in labeling, classifying, cataloging and maintaining tapes.
5
Record information such as computer operating time, problems that occurred, and actions taken.
6
Enter commands, using computer terminal, and activate controls on computer and peripheral equipment to integrate and operate equipment.
7
Respond to program error messages by finding and correcting problems or terminating the program.
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.
