Medium AI Risk Slow Growth

Political scientists

SOC Code: 19-3094

Political scientists carries a 30% AI exposure score (Medium automation risk), with a median annual wage of $139,380 and -3.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 6,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
30% Medium

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

Projected Growth
-3.1%
2024–2034 (BLS)
-200 jobs
Median Annual Wage
$139,380
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

6,500
Employment 2024
6,300
Projected 2034
-3.1%
Change (%)
-200
Change (jobs)

Occupation Insight

Political scientists (SOC 19-3094) carries an AI exposure score of 30%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 6,500 workers in this occupation in 2024, and projects a -3.1% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $139,380, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Master'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 Political scientists. 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
Master's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Teach political science.
  2. 2. Maintain current knowledge of government policy decisions.
  3. 3. Develop and test theories, using information from interviews, newspapers, periodicals, case law, historical papers, polls, or statistical sources.
  4. 4. Disseminate research results through academic publications, written reports, or public presentations.
  5. 5. Advise political science students.
  6. 6. Collect, analyze, and interpret data, such as election results and public opinion surveys, reporting on findings, recommendations, and conclusions.
  7. 7. Interpret and analyze policies, public issues, legislation, or the operations of governments, businesses, and organizations.
  8. 8. Identify issues for research and analysis.
  9. 9. Serve on committees.
  10. 10. Forecast political, economic, and social trends.

Key Skills Required

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

Knowledge Areas

  • Law and Government
  • English Language
  • Education and Training
  • History and Archeology
  • Mathematics
  • Communications and Media
  • Sociology and Anthropology
  • Geography
  • Philosophy and Theology
  • Computers and Electronics

Frequently Asked Questions

Will AI replace Political scientists?

Political scientists has an AI exposure score of 30%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Political scientists?

According to BLS Employment Projections 2024-2034, Political scientists is projected to decline by 3.1% over the decade. Current employment stands at approximately 6,500 workers.

What skills are needed for Political scientists?

Key skills for Political scientists include Reading Comprehension, Active Listening, Speaking, and others. Typical entry-level education is Master's degree.

How much do Political scientists earn?

The median annual wage for Political scientists is $139,380, 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 Political scientists?

The typical entry-level education for Political scientists is Master'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 Political scientists?

Political scientists 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

1.5
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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).

Related

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