BETA
Updated: Feb 6
BETA
Updated: Feb 6
Evolving
Last Update: 11/21/2025
Your role’s AI Resilience Score is
43.6%
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Industrial-Organizational Psychologists
They study how people behave at work to improve employee happiness and company productivity, making workplaces more efficient and enjoyable.
Summary
The career of an Industrial-Organizational Psychologist is labeled as "Evolving" because AI is starting to assist with tasks like analyzing data and drafting reports, which makes these processes faster and more efficient. However, important aspects of the job, like understanding people, making judgment calls, and building trust, still require human skills that AI can't replicate.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of an Industrial-Organizational Psychologist is labeled as "Evolving" because AI is starting to assist with tasks like analyzing data and drafting reports, which makes these processes faster and more efficient. However, important aspects of the job, like understanding people, making judgment calls, and building trust, still require human skills that AI can't replicate.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Evolving66.7%
66.7%
Microsoft's Working with AI
AI Applicability
Changing fast21.7%
21.7%
Anthropic's Economic Index
AI Resilience
Changing fast8.0%
8.0%
Will Robots Take My Job
Automation Resilience
Stable89.5%
89.5%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
6.3%
Growth Percentile:
82.9%
Annual Openings:
0.4
Annual Openings Pct:
3.9%
Analysis of Current AI Resilience
I-O Psychologists
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Industrial-organizational (I-O) psychologists do many tasks like writing reports and analyzing job criteria [1] [1]. Today, AI tools can help with some of these tasks. For example, language models (like ChatGPT) can draft or summarize text, and some companies use AI to scan documents or data faster [2] [3].
A Time magazine article noted that AI is “reshaping white-collar work,” and even a law firm uses AI to analyze regulatory documents to reduce workload [2]. In I-O work, this means AI might assist in creating drafts of white papers or in crunching survey data. Research on AI in HR/people analytics also shows quick growth in using AI for things like analytics and employee feedback [3].
However, most reports show AI is still far from handling the whole job. We did not find cases of AI fully replacing a human coach, expert witness, or business developer. These tasks need empathy, judgment, and trust – qualities that AI does not have.
Even where AI is used, human oversight remains crucial. In fact, experts point out AI projects often need careful human guidance to work well [2]. Overall, AI today mostly augments I-O psychologists’ work (helping with analysis or drafting), rather than doing it all by itself [2] [3].
Sources
AI Adoption
There are reasons AI might be adopted quickly in this field, and reasons it might be slow. On one hand, many AI tools are now widely available and relatively cheap (for example, anyone can try AI writing tools). If using AI cuts costs or speeds up work, companies will want it.
Big firms already experiment with AI for data-heavy tasks (as seen with insurers and banks training AI systems) [2]. On the other hand, adopting AI fully can be expensive and tricky. A Time report notes many AI projects struggle to deliver promised results or return on investment [2].
Organizations must train staff to use AI and ensure it works correctly for their specific needs.
Social and ethical factors also play a role. Hiring and workplace decisions often involve privacy and fairness. Research warns that companies need “rigorous ethical principles” with AI – things like transparency and preventing bias [3].
Because of these concerns, firms may move cautiously. In short, I-O psychologists may see some tasks automated (like data analysis or initial report writing) because tools are available, but human skills remain valuable. As one study puts it, AI is transforming HR processes but needs a “balanced approach” with human oversight [3] [3].
This means young people entering the field can stay hopeful: being good at teamwork, understanding people, and thinking creatively will keep I-O psychologists in demand even as AI tools help with routine parts of the job [2] [2].
Sources
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More Career Info
Career: Industrial-Organizational Psychologists
Parent Careers
Employment & Wage Data
Median Wage
$109,840
Jobs (2024)
5,600
Growth (2024-34)
+6.3%
Annual Openings
400
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Provide expert testimony in employment lawsuits.
2
Coach senior executives and managers on leadership and performance.
3
Advise management concerning personnel, managerial, and marketing policies and practices and their potential effects on organizational effectiveness and efficiency.
4
Counsel workers about job and career-related issues.
5
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.
6
Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, and motivation to assess organizational functioning.
7
Formulate and implement training programs, applying principles of learning and individual differences.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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