Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They help people fix computer problems by answering questions, providing solutions, and ensuring everything runs smoothly.
Summary
The career of Computer User Support Specialists is labeled as "Changing fast" because many routine tasks, like answering common questions and monitoring system health, are now being handled by AI tools. This automation reduces the need for human workers in these areas, leading some companies to cut staff.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of Computer User Support Specialists is labeled as "Changing fast" because many routine tasks, like answering common questions and monitoring system health, are now being handled by AI tools. This automation reduces the need for human workers in these areas, leading some companies to cut staff.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Computer Support Specialist
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Many routine help-desk tasks are already getting AI support. For example, chatbots and smart FAQs can answer common user questions, freeing humans for tougher problems [1] [2]. Likewise, modern “AIOps” tools monitor system health and even fix some glitches automatically.
One IT news report notes that TeamViewer’s new AI tools can summarize support tickets and generate fixes before users notice a problem [3]. This means tasks like “enter commands and observe system functioning” are often done by software agents rather than people.
However, physical or complex tasks still need a real person. Plugging in hardware, running cables, or training a new user can’t be done by AI robots yet – these tasks require human hands and judgment. Even companies embracing AI say humans are vital for tricky cases.
For example, an Associated Press story points out that banks and tech firms use AI for routine fixes, but still ask human staff to handle serious issues like fraud or unusual errors [1]. In short, many simple support questions and checks are now automated, but people still do the hands-on and high-skill work (repairing equipment, designing solutions, or dealing with new problems).

AI Adoption
- Tools and Costs: Lots of AI help-desk products exist today. For example, software like TeamViewer and Salesforce’s Agentforce can automatically diagnose issues and handle many routine support tickets [3] [2]. Big companies report big savings: Salesforce’s CEO says their AI now handles about half of customer inquiries, which let them cut thousands of staff and trim costs [2] [2]. - Labor and Skills: Tech support workers are seeing new roles.
Some places are short on workers, so firms turn to AI to fill gaps [2]. Workers who learn to work alongside AI – for example, by crafting good “prompts” or supervising bots – will do well. In fact, industry leaders urge new tech graduates to learn AI tools, saying human creativity and guidance are still essential [2] [1]. - Social and Ethical Factors: Companies must balance automation with a personal touch.
Many customers still want a human to talk to, especially for sensitive issues. In the U.S., lawmakers are even considering rules to ensure people can reach live support staff [1]. These social and legal concerns mean businesses often keep humans in the loop.
Overall, AI can boost efficiency and handle boring tasks, but trust and human oversight remain important [1] [2].

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Median Wage
$60,340
Jobs (2024)
729,500
Growth (2024-34)
-3.7%
Annual Openings
40,800
Education
Some college, no degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Hire, supervise, and direct workers engaged in special project work, problem solving, monitoring, and installing data communication equipment and software.
Enter commands and observe system functioning to verify correct operations and detect errors.
Install and perform minor repairs to hardware, software, or peripheral equipment, following design or installation specifications.
Oversee the daily performance of computer systems.
Set up equipment for employee use, performing or ensuring proper installation of cables, operating systems, or appropriate software.
Maintain records of daily data communication transactions, problems and remedial actions taken, or installation activities.
Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.
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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