High AI Risk Fast Growth

Computer systems analysts

SOC Code: 15-1211

Computer systems analysts carries a 44% AI exposure score (High automation risk), with a median annual wage of $103,790 and +8.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 521,100 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
44% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+8.7%
2024–2034 (BLS)
+45,500 jobs
Median Annual Wage
$103,790
BLS May 2024
How wage figures are sourced →
The verdict

At 44% AI exposure, Computer systems analysts sits 7 points above the 37.2% average across 832 U.S. occupations - more exposed than 77% of them. Most of its core tasks still require human judgment.

44%
AI exposure
Top 23%
most exposed
+8.7%
Job growth 2024–34
$103,790
Median wage

Where Computer systems analysts sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Computer systems analysts marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 23% by AI exposure Higher AI exposure than 77% of all 832 occupations.

Computer systems analysts has ai exposure of 44%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Computer systems analysts vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Computer systems analysts is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk29.8%41.9%54%66.1%78.2%-6.1%4.3%14.6%25.0%35.4%AI exposure (%) →Projected growth (%) →Software developersComputer user supporComputer systems anaComputer occupationsNetworkData scientistsSoftware quality assInformation securityComputer network arcComputer network supWeb

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

521,100
Employment 2024
566,500
Projected 2034
+8.7%
Change (%)
+45,500
Change (jobs)

Occupation Insight

Computer systems analysts (SOC 15-1211) carries an AI exposure score of 44%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 521,100 workers in this occupation in 2024, and projects a +8.7% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $103,790, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Bachelor's degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Computer systems analysts. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Bachelor's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.
  2. 2. Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.
  3. 3. Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
  4. 4. Analyze and interpret patient, nursing, or information systems data to improve nursing services.
  5. 5. Troubleshoot program and system malfunctions to restore normal functioning.
  6. 6. Identify, collect, record, or analyze data relevant to the nursing care of patients.
  7. 7. Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists.
  8. 8. Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.
  9. 9. Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts.
  10. 10. Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems.

Key Skills Required

  • Reading Comprehension
  • Complex Problem Solving
  • Active Listening
  • Writing
  • Speaking
  • Critical Thinking
  • Judgment and Decision Making
  • Active Learning
  • Learning Strategies
  • Systems Analysis

Knowledge Areas

  • Computers and Electronics
  • English Language
  • Medicine and Dentistry
  • Education and Training
  • Customer and Personal Service
  • Administration and Management
  • Mathematics
  • Design
  • Psychology
  • Administrative

Frequently Asked Questions

Will AI replace Computer systems analysts?

Computer systems analysts has an AI exposure score of 44%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Computer systems analysts?

According to BLS Employment Projections 2024-2034, Computer systems analysts is projected to grow by 8.7% over the decade. Current employment stands at approximately 521,100 workers.

What skills are needed for Computer systems analysts?

Key skills for Computer systems analysts include Reading Comprehension, Complex Problem Solving, Active Listening, and others. Typical entry-level education is Bachelor's degree.

How much do Computer systems analysts earn?

The median annual wage for Computer systems analysts is $103,790, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Computer systems analysts?

The typical entry-level education for Computer systems analysts is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Computer systems analysts?

Computer systems analysts roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.2
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.