Very High AI Risk Fast Growth

Computer occupations, all other

SOC Code: 15-1299

Computer occupations, all other carries a 76% AI exposure score (Very High automation risk), with a median annual wage of $108,970 and +8.2% projected employment growth from 2024 to 2034 (BLS), affecting approximately 472,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
76% Very High
High exposure

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

Projected Growth
+8.2%
Above typical growth
2024–2034 (BLS)
+38,500 jobs
Median Annual Wage
$108,970
Top 10% pay
BLS May 2024
How wage figures are sourced →
The verdict

At 76% AI exposure, Computer occupations, all other sits 39 points above the 37.2% average across 832 U.S. occupations - more exposed than 98% of them. It is one of just 21 occupations above the 70% high-exposure line.

76%
AI exposure
Top 2%
most exposed
+8.2%
Job growth 2024–34
$108,970
Median wage
C+

Career outlook score

64/100

Computer occupations, all other, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage A+ $108,970

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A +8.2%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) F 76% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Computer occupations, all other in the Very High band.

Credential × growth standing

Bachelor's bar with above-average BLS growth

Computer occupations, all other sits in the Bachelor's entry band (178 of 832 occupations) and the Fast growth pace bucket (67 of 832). That pairing is rarer than the HS / some-college + declining cluster that dominates the BLS map - treat the degree bar as the binding gate while the growth line stays supportive.

Where Computer occupations, all other sits among all occupations

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

Where Computer occupations, all other sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

76% Higher than most higher than 98% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

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

Computer occupations, all other vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Computer occupations, all other 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 developers, AI exposure (%) →: 45% · Projected growth (%) →: 15.8%Software developersComputer user suppor, AI exposure (%) →: 36% · Projected growth (%) →: -3.7%Computer user supporComputer systems ana, AI exposure (%) →: 44% · Projected growth (%) →: 8.7%Computer systems anaComputer occupations, AI exposure (%) →: 76% · Projected growth (%) →: 8.2%Computer occupationsNetwork, AI exposure (%) →: 32% · Projected growth (%) →: -4.2%NetworkData scientists, AI exposure (%) →: 61% · Projected growth (%) →: 33.5%Data scientistsSoftware quality ass, AI exposure (%) →: 46% · Projected growth (%) →: 10%Software quality assInformation security, AI exposure (%) →: 45% · Projected growth (%) →: 28.5%Information securityComputer network arc, AI exposure (%) →: 49% · Projected growth (%) →: 11.9%Computer network arcComputer network sup, AI exposure (%) →: 36% · Projected growth (%) →: 1.8%Computer network supWeb, AI exposure (%) →: 36% · Projected growth (%) →: 7%Web

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

Employment Projections

472,000
Employment 2024
510,500
Projected 2034
+8.2%
Change (%)
+38,500
Change (jobs)

Where This Score Comes From

Computer occupations, all other's Very High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score above 70% signals that the majority of core duties are already technically automatable, workers in these roles face the steepest near-term displacement pressure.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 15-1299) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Computer occupations, all other be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

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 occupations, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

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

Top Tasks (O*NET)

  1. 1. Monitor systems for intrusions or denial of service attacks, and report security breaches to appropriate personnel.
  2. 2. Assist in determining document management policies to facilitate efficient, legal, and secure access to electronic content.
  3. 3. Identify or document backup or recovery plans.
  4. 4. Produce data layers, maps, tables, or reports, using spatial analysis procedures or Geographic Information Systems (GIS) technology, equipment, or systems.
  5. 5. Back up or modify applications and related data to provide for disaster recovery.
  6. 6. Identify security system weaknesses, using penetration tests.
  7. 7. Design or prepare graphic representations of Geographic Information Systems (GIS) data, using GIS hardware or software applications.
  8. 8. Manage project execution to ensure adherence to budget, schedule, and scope.
  9. 9. Correct testing-identified problems, or recommend actions for their resolution.
  10. 10. Identify, standardize, and communicate levels of access and security.

Key Skills Required

  • Critical Thinking
  • Reading Comprehension
  • Active Listening
  • Writing
  • Coordination
  • Time Management
  • Speaking
  • Management of Personnel Resources
  • Systems Analysis
  • Monitoring

Knowledge Areas

  • English Language
  • Customer and Personal Service
  • Computers and Electronics
  • Administration and Management
  • Engineering and Technology
  • Economics and Accounting
  • Administrative
  • Telecommunications
  • Personnel and Human Resources
  • Mathematics

Frequently Asked Questions

Will AI replace Computer occupations, all other?

Computer occupations, all other has an AI exposure score of 76%, indicating a very high level of automation risk. Many tasks in this role involve routine data processing and pattern recognition that current AI systems can perform.

What is the job outlook for Computer occupations, all other?

According to BLS Employment Projections 2024-2034, Computer occupations, all other is projected to grow by 8.2% over the decade. Current employment stands at approximately 472,000 workers.

What skills are needed for Computer occupations, all other?

Key skills for Computer occupations, all other include Critical Thinking, Reading Comprehension, Active Listening, and others. Typical entry-level education is Bachelor's degree.

How much do Computer occupations, all other earn?

The median annual wage for Computer occupations, all other is $108,970, 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 occupations, all other?

The typical entry-level education for Computer occupations, all other 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 occupations, all other?

Computer occupations, all other 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

3.8
out of 5.0

Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Computer occupations, all other: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (76% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+8.2% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Computer occupations, all other's numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

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).

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.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.