Will AI replace Industrial-Organizational Psychologists?
Work in Industrial-Organizational Psychologists sits in the in-between: AI reaches some of it (~49% in theory) but is only measured doing about 16% today — part human, part machine.
O*NET-SOC 19-3032
How your 20 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~49%). By late 2025, real-world AI use had reached about 16% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~49%), real-world use (~16%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 20 tasks, ratedBased on real task-level AI scores — click to collapse
- Write articles, white papers, or reports to share research findings and educate others.
- Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning.
- Formulate and implement training programs, applying principles of learning and individual differences.
- Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, or motivation to assess organizational functioning.
- Conduct presentations on research findings for clients or at research meetings.
- Provide expert testimony in employment lawsuits.
- Study consumers' reactions to new products and package designs, and to advertising efforts, using surveys and tests.
- Review research literature to remain current on psychological science issues.
- Develop interview techniques, rating scales, and psychological tests used to assess skills, abilities, and interests for the purpose of employee selection, placement, or promotion.
- Conduct individual assessments, including interpreting measures and providing feedback for selection, placement, or promotion.
- Develop new business by contacting potential clients, making sales presentations, and writing proposals.
- Develop and implement employee selection or placement programs.
- Identify training and development needs.
- Train clients to administer human resources functions, including testing, selection, and performance management.
- Facilitate organizational development and change.
- Analyze job requirements and content to establish criteria for classification, selection, training, and other related personnel functions.
- Assess employee performance.
- Study organizational effectiveness, productivity, and efficiency, including the nature of workplace supervision and leadership.
- 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.
- Coach senior executives and managers on leadership and performance.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.