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Political Scientists

Life, Physical & Social Scienceshighaugment
BLS 2024-34: -3%
Median Wage: $132,000
Employment: 6K

Overall Exposure

58+16

2025 vs 2023

Theoretical Exposure

74

What AI could do

Observed Exposure

40

What AI actually does

Automation Risk Score

47

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

58โ†’74
+16

2025 โ†’ 2028 (estimated)

Theoretical Exposure

74โ†’89
+15

2025 โ†’ 2028 (estimated)

Observed Exposure

40โ†’58
+18

2025 โ†’ 2028 (estimated)

Automation Risk

47โ†’63
+16

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202342602432actual
202450673240actual
202558744047actual
202664804753estimated
202769855358estimated
202874895863estimated

Task Breakdown

Analyze public opinion data and electoral trends
72%ฮฒ 1
Conduct literature reviews and synthesize policy research
68%ฮฒ 1
Write policy briefs and academic publications
55%ฮฒ 0.5
Advise policymakers and testify at legislative hearings
15%ฮฒ 0

About This Occupation

If you work as a Political Scientist, AI is reshaping your profession. With an automation risk of 47/100 and overall exposure at 58%, this role faces high transformation. The highest-impact area is analyze public opinion data and electoral trends at 72% automation. This is classified as an 'augment' role. BLS projects -3% decline through 2034. AI excels at processing vast political datasets, sentiment analysis, and literature synthesis, but nuanced policy interpretation and in-person advisory roles remain distinctly human strengths.

Frequently Asked Questions

With an automation risk score of 47%, Political Scientists faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for Political Scientists is 47% (2025 data). Overall AI exposure is 58%, with 74% theoretical exposure and 40% observed exposure. The risk trend from 2023 to 2025 is +15 points.

The tasks with the highest automation potential for Political Scientists are: Analyze public opinion data and electoral trends (72%), Conduct literature reviews and synthesize policy research (68%), Write policy briefs and academic publications (55%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects -3% employment change for Political Scientists from 2024 to 2034. Combined with an overall AI exposure of 58%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Political Scientists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.

Recent AI Impact Changes

Mar 2026: New blog post: political scientists face 64% exposure, 53% risk.

[Source: ACW Blog]