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AI Automation Index
Will AI Replace Computer Systems Analysts?
Task-level automation exposure for Computer Systems Analysts: 22 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
64%
weighted task index
22 of 22 tasks scored
Median Salary
$105,850 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
519,530 people hold this job — size, not growth
Projected 2025–35
+7.9%
employment change
32,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$59,430 – $134,630
Highest medians
Rhode Island $134,630
Washington $129,410
Massachusetts $128,240
Colorado $127,750
California $127,720
Lowest medians
Virgin Islands $59,430
Guam $59,900
Puerto Rico $63,730
Idaho $75,310
Arkansas $81,760
State figures come from the 15-1211 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 64%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 60%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 4%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 8/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
22 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 70%
15 tasks
Medium exposure (≥ 35%) 30%
7 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2023 · Incumbent
Write code to perform desired actions.
Constituent Tasks
#20950 · Core · 60% automatable
Troubleshoot program and system malfunctions to restore normal functioning.
decision support — AI assists diagnosis; human executes fixes
Troubleshoot issues with computer applications or systems.
#3464 · Core · 70% automatable
Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.
decision support — Software support is largely diagnosable with human review
Provide technical support for software maintenance or use.
#3465 · Core · 63% automatable
Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.
data analysis — AI monitors system metrics and detects anomalies
Monitor computer system performance to ensure proper operation. Test software performance. Coordinate software or hardware installation.
#3482 · Core · 60% automatable
Use the computer in the analysis and solution of business problems, such as development of integrated production and inventory control and cost analysis systems.
decision support — AI advises on IT solutions; humans implement and validate
Apply information technology to solve business or other applied problems.
#3468 · Core · 45% automatable
Coordinate and link the computer systems within an organization to increase compatibility so that information can be shared.
decision support — Network config needs physical setup and verification
Configure computer networks.
#3466 · Core · 82% automatable
Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.
text generation — Code generation strong; human reviews and integrates
Write computer programming code.
#3474 · Core · 61% automatable
Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering.
data analysis — Derives specs from project data; human validates requirements
Analyze project data to determine specifications or requirements. Design integrated computer systems.
#3469 · Core · 55% automatable
Consult with management to ensure agreement on system principles.
interpersonal — Collaborative spec-setting requires human negotiation
Collaborate with others to determine design specifications or details.
#3484 · Core · 59% automatable
Specify inputs accessed by the system and plan the distribution and use of the results.
decision support — AI advises on IT solutions; humans implement and validate
Select production input materials. Apply information technology to solve business or other applied problems.
#3470 · Core · 70% automatable
Expand or modify system to serve new purposes or improve work flow.
text generation — Performance refactoring largely AI; human tests and approves
Modify software programs to improve performance.
#3473 · Core · 55% automatable
Train staff and users to work with computer systems and programs.
interpersonal — Software training content AI-generatable, live coaching human
Train others in computer interface or software use.
#3475 · Core · 70% automatable
Assess the usefulness of pre-developed application packages and adapt them to a user environment.
decision support — Software utility evaluation aided by research and testing
Evaluate utility of software or hardware technologies. Modify software programs to improve performance.
#3472 · Core · 68% automatable
Determine computer software or hardware needed to set up or alter systems.
data analysis — IT resource sizing from requirements; human approves
Identify information technology project resource requirements.
#3480 · Core · 84% automatable
Read manuals, periodicals, and technical reports to learn how to develop programs that meet staff and user requirements.
information retrieval — Gather technical info from documents is core
Read documents to gather technical information.
#3477 · Core · 73% automatable
Develop, document, and revise system design procedures, test procedures, and quality standards.
text generation — Draft procedure docs from described process
Develop testing routines or procedures. Document design or development procedures.
#3479 · Core · 70% automatable
Recommend new equipment or software packages.
information retrieval — Hardware recommendations are knowledge-based with review
Provide recommendations to others about computer hardware.
#3476 · Core · 70% automatable
Define the goals of the system and devise flow charts and diagrams describing logical operational steps of programs.
visual inspection — Generates flow charts; system accuracy verified by human
Develop diagrams or flow charts of system operation.
#3467 · Core · 55% automatable
Confer with clients regarding the nature of the information processing or computation needs a computer program is to address.
interpersonal — Collaborative spec-setting requires human negotiation
Collaborate with others to determine design specifications or details.
#3478 · Supplemental · 70% automatable
Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes.
data analysis — Diagnoses operational problems from data; human acts
Analyze data to identify or resolve operational problems.
#3471 · Supplemental · 50% automatable
Interview or survey workers, observe job performance, or perform the job to determine what information is processed and how it is processed.
data analysis — Analysis aided; primary customer data collection human
Collect data about customer needs.
#3481 · Supplemental · 35% automatable
Supervise computer programmers or other systems analysts or serve as project leaders for particular systems projects.
interpersonal — IT project management is partly AI-assisted but human-owned
Supervise information technology personnel. Manage information technology projects or system activities.
#3483 · Supplemental · 68% automatable
Prepare cost-benefit and return-on-investment analyses to aid in decisions on system implementation.
data analysis — Project time/cost estimation from parameters
Estimate time or monetary resources needed to complete projects.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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