32
/100

SOC 19-3099

Social Scientists and Related Workers, All Other

ModerateFrey/Osborne: 4.0%

Risk Score

โš ๏ธ

32/100

Moderate

US Employment

๐Ÿ‘ฅ

36,970

Total workers

Median Wage

๐Ÿ’ฐ

$100K

$63K โ€“ $161K

Projected Growth

๐Ÿ“ˆ

-1.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Social Scientists and Related Workers, All Other face a risk score of 32/100 โ€” 12 points below the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $100K ($54K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 32/100, Social Scientists and Related Workers, All Other faces moderate automation pressure. While tasks like ai-accelerated data analysis and pattern recognition are increasingly handled by AI, the role retains significant human elements. The 36,970 workers in this occupation should focus on strengthening skills in ethical oversight of research involving human subjects and fieldwork in unstructured natural environments to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Social Scientists and Related Workers, All Other?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-accelerated data analysis and pattern recognition

2

AI summarization replacing manual report compilation

3

Large language model automation of analysis tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical oversight of research involving human subjects

โœ“

Fieldwork in unstructured natural environments

โœ“

Collaborative scientific discourse and peer review

โœ“

Interpreting ambiguous results with domain expertise

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Define regional or local transportation planning problems or priorities.

โ€ข

Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.

โ€ข

Prepare reports or recommendations on transportation planning.

โ€ข

Collaborate with engineers to research, analyze, or resolve complex transportation design issues.

โ€ข

Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Graphics or photo imaging software

โ€ข

Desktop publishing software

โ€ข

Computer aided design CAD software

โ€ข

Analytical or scientific software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Geography

โ€ข

Law and Government

๐Ÿ“Š vs National Average

Median Wage$100K
+$54K

National avg: $46K

Risk Score32/100
-12

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-1.7%
-5.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K63%
Political Scientists25$139K74%
Social Scientists and Related Workers21$93K72%