Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

30.5%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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 User Support Specialists

They help people fix computer problems by answering questions, providing solutions, and ensuring everything runs smoothly.

This role is evolving

The career of a Computer User Support Specialist is labeled as "Evolving" because AI is gradually taking over simple, repetitive tasks like answering common questions and monitoring systems. This allows specialists to focus on more complex issues that require human insight and problem-solving skills.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

The career of a Computer User Support Specialist is labeled as "Evolving" because AI is gradually taking over simple, repetitive tasks like answering common questions and monitoring systems. This allows specialists to focus on more complex issues that require human insight and problem-solving skills.

Read full analysis

Contributing 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

Learn about this score
Evolving iconEvolving

31.7%

31.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

5.5%

5.5%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Changing fast iconChanging fast

4.1%

4.1%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

36.2%

36.2%

Althoff & Reichardt

Economic Growth

Learn about this score
Stable iconStable

72.6%

72.6%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-3.7%

Growth Percentile:

14.1%

Annual Openings:

40,800

Annual Openings Pct:

79.4%

Analysis of Current AI Resilience

Computer Support Specialist

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Many routine help-desk tasks are already partly automated. For example, system monitoring software and AI chatbots can log tickets, check system health, and answer common user questions [1] [2]. A U.S. labor report notes that companies now use automated tools – like chatbots – for first-level troubleshooting [1].

Likewise, tech articles describe “AI-infused” help systems that handle repetitive queries and fill out forms behind the scenes [2]. In practice, this means tasks like “entering commands and observing system functioning” or recording routine issues [3] are often done with software help. However, more complex support work still needs humans.

O*NET reports that specialists spend time reading manuals, conferring with users, and diagnosing unique problems [3] – skills that current AI can’t fully replace. In short, AI today tends to take on simple, repetitive parts of the job, while human specialists continue troubleshooting the harder cases and learning new technology.

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AI Adoption

AI in the real world

AI tools for IT support are commercially available, but adoption varies. Big companies can buy or build chatbots and automated monitoring (often saving money on simple tasks) [1]. For example, using AI to handle FAQs or routine checks can reduce 24-hour labor costs and let junior staff focus on harder problems.

But businesses also face costs and challenges. They must pay for the AI software, integrate it into their systems, and train staff to use it. Importantly, customers and workers still value the human side: one BLS report found that 97% of support jobs require strong “people skills” [1].

In other words, users often prefer talking to a person for tricky or emotional issues, so companies move slowly. Overall, employers tend to adopt AI gradually – using it to automate easy, repetitive work first (as noted by both industry reports and labor experts [2] [1]). This way, AI becomes a helpful assistant rather than a full replacement, freeing human specialists for the problems that need a personal touch.

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More Career Info

Career: Computer User Support Specialists

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceSupplemental

Hire, supervise, and direct workers engaged in special project work, problem solving, monitoring, and installing data communication equipment and software.

2

75% ResilienceCore Task

Read trade magazines and technical manuals, or attend conferences and seminars to maintain knowledge of hardware and software.

3

70% ResilienceCore Task

Refer major hardware or software problems or defective products to vendors or technicians for service.

4

65% ResilienceSupplemental

Inspect equipment and read order sheets to prepare for delivery to users.

5

60% ResilienceCore Task

Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.

6

55% ResilienceCore Task

Prepare evaluations of software or hardware, and recommend improvements or upgrades.

7

50% ResilienceCore Task

Install and perform minor repairs to hardware, software, or peripheral equipment, following design or installation specifications.

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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