BETA
Updated: Mar 20
BETA
Updated: Mar 20
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
30.3%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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.
This role is evolving
This career is labeled as "Evolving" because AI is gradually taking over routine computer tasks, like monitoring systems and suggesting code, which frees up human workers to focus on more creative and complex parts of their jobs. While AI can handle repetitive tasks and basic troubleshooting, human skills are still crucial for managing messy data, solving complex problems, and making important decisions.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
This career is labeled as "Evolving" because AI is gradually taking over routine computer tasks, like monitoring systems and suggesting code, which frees up human workers to focus on more creative and complex parts of their jobs. While AI can handle repetitive tasks and basic troubleshooting, human skills are still crucial for managing messy data, solving complex problems, and making important decisions.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Changing fast16.0%
16.0%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Changing fast14.3%
14.3%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Changing fast16.6%
16.6%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Stable72.6%
72.6%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
8.2%
Growth Percentile:
88.4%
Annual Openings:
31,300
Annual Openings Pct:
75.5%
Analysis of Current AI Resilience
Computer Occupations (misc)
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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
AI in the real world
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
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
Oversee the operation of computer hardware systems, including coordinating and scheduling the use of computer terminals and networks to ensure efficient use.
4
Read job set-up instructions to determine equipment to be used, order of use, material such as disks and paper to be loaded, and control settings.
5
Supervise and train peripheral equipment operators and computer operator trainees.
6
Type command on keyboard to transfer encoded data from memory unit to magnetic tape and assist in labeling, classifying, cataloging and maintaining tapes.
7
Load peripheral equipment with selected materials for operating runs, or oversee loading of peripheral equipment by peripheral equipment operators.
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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