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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
52.3%
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
Computer Occupations, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Mostly Resilient" because while AI can handle routine computer tasks like monitoring systems and suggesting code, it still relies heavily on human creativity and judgment for complex problem-solving and decision-making. AI tools can assist with tasks such as spotting server issues or suggesting code improvements, but people are essential to review, interpret, and act on these findings.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
This career is labeled as "Mostly Resilient" because while AI can handle routine computer tasks like monitoring systems and suggesting code, it still relies heavily on human creativity and judgment for complex problem-solving and decision-making. AI tools can assist with tasks such as spotting server issues or suggesting code improvements, but people are essential to review, interpret, and act on these findings.
Read full analysisAnalysis of Current AI Resilience
Computer Occupations (misc)
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Computer Occupations (misc) jobs?
Many routine computer tasks are now partly automated by AI, but people remain essential. For example, some AI assistants in software can take a written request and turn it into a spreadsheet formula or report [1], though messy data often needs a person to tidy it first [1]. AI is also used to monitor systems: modern tools can scan servers and network logs to spot slowdowns or failures automatically [2].
In fact, surveys find over 84% of IT teams use or plan to use these AI-monitoring tools [2]. Some systems even try to fix problems on their own – for example, automatically restarting a stuck process [2].
Other tasks still rely on humans. Basic support calls or chat messages often start with a simple bot, but only very simple issues are resolved without a person [2]. Programmers get AI help too: tools like GitHub Copilot can suggest code or catch obvious bugs [1], and new AI (e.g. OpenAI’s Aardvark) can scan code for security flaws [2].
These assistants speed up testing and debugging, but people still review the results for errors [1]. In short, AI today handles the routine parts (repeated data tasks, basic troubleshooting), while human creativity and judgment remain essential.
Sources
How fast is AI adoption growing for Computer Occupations (misc)?
Companies add AI where it clearly helps. Many tech organizations report using or planning AI for operations – one survey found about 84% in IT will use AI for tasks like monitoring systems [2]. AI-driven monitors can alert teams to outages much faster than manual checks [2], catching problems early.
Automating routine work also cuts staff burnout [2].
However, firms adopt AI carefully. Advanced AI systems cost time and money to set up, and experts note they can make mistakes – Microsoft even warns not to rely on AI for critical financial reports [1]. As a result, analysts expect AI to be added step by step.
It will take over the boring chores and “amplify” skilled workers [2], letting people focus on the creative, complex parts of the job.
Sources
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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.
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