27
/100

SOC 19-3032

Industrial-Organizational Psychologists

ModerateFrey/Osborne: 1.2%

Risk Score

โš ๏ธ

27/100

Moderate

US Employment

๐Ÿ‘ฅ

1,050

Total workers

Median Wage

๐Ÿ’ฐ

$110K

$52K โ€“ $225K

Projected Growth

๐Ÿ“ˆ

+6.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Industrial-Organizational Psychologists face a risk score of 27/100 โ€” 17 points below 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 $110K ($64K 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 just 27/100, Industrial-Organizational Psychologists is well-positioned against AI automation. Core responsibilities like collaborative scientific discourse and peer review and designing novel experiments and research methodologies rely heavily on human judgment and interpersonal skills that AI cannot easily replicate. The 1,050 Americans in this role can expect continued demand, though they should still stay informed about AI tools that can enhance their productivity.

Will AI Replace Industrial-Organizational Psychologists?

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-powered research and literature review tools

3

Automated data interpretation and insight generation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Collaborative scientific discourse and peer review

โœ“

Designing novel experiments and research methodologies

โœ“

Ethical oversight of research involving human subjects

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Fieldwork in unstructured natural environments

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

Provide advice on best practices and implementation for selection.

โ€ข

Develop and implement employee selection or placement programs.

โ€ข

Analyze data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs.

โ€ข

Develop interview techniques, rating scales, and psychological tests used to assess skills, abilities, and interests for the purpose of employee selection, placement, or promotion.

โ€ข

Observe and interview workers to obtain information about the physical, mental, and educational requirements of jobs, as well as information about aspects such as job satisfaction.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Analytical or scientific software

โ€ข

Spreadsheet software

โ€ข

Human resources software

โ€ข

Web platform development software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Personnel and Human Resources

โ€ข

Psychology

โ€ข

Education and Training

โ€ข

Administration and Management

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$110K
+$64K

National avg: $46K

Risk Score27/100
-17

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth6.3%
+2.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K53%
Political Scientists25$139K79%
Social Scientists and Related Workers21$93K77%