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Will AI replace Computer Systems Analysts?

Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 15-1211.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
51%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
51%Automatable
Automatable51%
Augmentable25%
Hard to automate24%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Tech
Engineering & Product
Modeled pay midpoint$
$63,500/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Troubleshoot program and system malfunctions to restore normal functioning.61%
⚙Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.52%
▥Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.42%
✦System accountability and architecture judgment17%
✦Handling ambiguous requirements and trade-offs13%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting troubleshoot program and system malfunctions to restore normal functioning..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on system accountability and architecture judgment.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Computer Systems Analysts.
02>AI can help with: Troubleshoot program and system malfunctions to restore normal functioning.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: System accountability and architecture judgment.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 51% is estimated task exposure—not a 51% chance of losing the job.
What AI can do
Troubleshoot program and system malfunctions to restore normal functioning.MEDIUM
Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.MEDIUM
Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.LOW MATCH
How estimates work →
Your human moat
◆

System accountability and architecture judgment

MEDIUM-HIGH

Combined with handling ambiguous requirements and trade-offs, this keeps a human in the loop.

Strength7.2
Similar-role comparison
RoleRisk
Computer Systems Analysts51%
Actuaries51%
Software Developers50%
Operations Research Analysts52%
i

Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is system accountability and architecture judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Related Tech job reports

Actuaries · 51% exposureSoftware Developers · 50% exposureOperations Research Analysts · 52% exposure