60
/100

SOC 19-4099

Life, Physical, and Social Science Technicians, All Other

ElevatedFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

60/100

Elevated

US Employment

๐Ÿ‘ฅ

71,400

Total workers

Median Wage

๐Ÿ’ฐ

$60K

$37K โ€“ $102K

Projected Growth

๐Ÿ“ˆ

+3.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

84/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Life, Physical, and Social Science Technicians, All Other face a risk score of 60/100 โ€” 16 points above the national average of 44. With 84/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $60K ($14K 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 60/100, Life, Physical, and Social Science Technicians, 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 71,400 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 Life, Physical, and Social Science Technicians, 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

Machine learning models replacing manual hypothesis testing

3

Generative AI producing marketing and creative copy

4

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

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

Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.

โ€ข

Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.

โ€ข

Calibrate, validate, or maintain laboratory equipment.

โ€ข

Ensure that lab cleanliness and safety standards are maintained.

โ€ข

Perform visual inspections of finished products.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Content workflow software

โ€ข

Program testing software

โ€ข

Development environment software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Geography

โ€ข

Computers and Electronics

โ€ข

Mathematics

โ€ข

Production and Processing

โ€ข

Chemistry

๐Ÿ“Š vs National Average

Median Wage$60K
+$14K

National avg: $46K

Risk Score60/100
+16

National avg: 44/100

GenAI Exposure84/100
+46

National avg: 38/100

Projected Growth3.5%
-0.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K78%
Political Scientists25$139K70%
Occupational Health and Safety Specialists and Technicians26$79K83%