72
/100

SOC 19-4013

Food Science Technicians

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

72/100

High Risk

US Employment

๐Ÿ‘ฅ

14,200

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$38K โ€“ $75K

Projected Growth

๐Ÿ“ˆ

+4.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Food Science Technicians face a risk score of 72/100 โ€” 28 points above the national average of 44. With 86/100 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 $49K ($3K 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 72/100, Food Science Technicians faces significant automation pressure. Key threats include ai literature review and meta-analysis automation and ai coding assistants reducing developer demand. The 14,200 Americans in this role should actively develop skills in fieldwork in unstructured natural environments and designing novel experiments and research methodologies to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Food Science Technicians?

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

โš ๏ธ Top Risk Factors

1

AI literature review and meta-analysis automation

2

AI coding assistants reducing developer demand

3

Automated data interpretation and insight generation

4

AI-accelerated data analysis and pattern recognition

5

Machine learning models replacing manual hypothesis testing

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Fieldwork in unstructured natural environments

โœ“

Designing novel experiments and research methodologies

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

Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics.

โ€ข

Measure, test, or weigh bottles, cans, or other containers to ensure that hardness, strength, or dimensions meet specifications.

โ€ข

Maintain records of testing results or other documents as required by state or other governing agencies.

โ€ข

Monitor and control temperature of products.

โ€ข

Analyze test results to classify products or compare results with standard tables.

๐Ÿ’ป Technology Skills

โ€ข

Object or component oriented development software

โ€ข

Web platform development software

โ€ข

Data base user interface and query software

โ€ข

Graphical user interface development software

โ€ข

Graphics or photo imaging software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Food Production

โ€ข

Production and Processing

โ€ข

Chemistry

โ€ข

English Language

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score72/100
+28

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth4.8%
+1.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K72%
Political Scientists25$139K79%
Occupational Health and Safety Specialists and Technicians26$79K77%