Will AI replace industrial-organizational psychologists?

Unlikely, though parts of the work are changing. About 1h 51m of an 8-hour shift goes to tasks touched by AI working on its own. The breakdown: 43m done by people with AI help, 1h 8m that AI mostly does alone. The other 6h 9m (77%) stays with people. Separately, BLS expects about 6.5% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 6 of 25 tasks, about 1h 51m of a typical shift. The biggest ones:

• Analyze job requirements and content to establish criteria for classification, selection, training, and other related personnel functions. (25m a shift, AI mostly does it alone)
• Provide advice on best practices and implementation for selection. (18m a shift, AI mostly does it alone)
• Develop new business by contacting potential clients, making sales presentations, and writing proposals. (18m a shift, AI mostly does it alone)
• Study consumers' reactions to new products and package designs, and to advertising efforts, using surveys and tests. (6m a shift, AI mostly does it alone)
• Advise management concerning personnel, managerial, and marketing policies and practices and their potential effects on organizational effectiveness and efficiency. (25m a shift, people use AI to help)

6h 9m of a typical shift, or 77%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Analyze data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs. (49m a shift)
• Develop and implement employee selection or placement programs. (31m a shift)
• Develop interview techniques, rating scales, and psychological tests used to assess skills, abilities, and interests for the purpose of employee selection, placement, or promotion. (31m a shift)
• Facilitate organizational development and change. (31m a shift)
• Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, or motivation to assess organizational functioning. (25m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 84% talk face to face with others every day
• 58% say dealing with the public is very or extremely important

For the 4 tasks in this job where AI shows up and timing data exists, a typical request takes about 4h 53m for a person alone and about 46m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Advise management concerning personnel, managerial, and marketing policies and practices and their potential effects on organizational effectiveness and efficiency (about 5h 34m alone, 49m with AI)
• Develop new business by contacting potential clients, making sales presentations, and writing proposals (about 5h 18m alone, 1h 12m with AI)
• Assess employee performance (about 4h 27m alone, 38m with AI)

On Indeed, job postings in the Social Science sector are at 126% of their February 2020 level (all U.S. postings: 104%), down 6.7% from a year earlier, as of Oct 9, 2026. BLS separately expects about 300 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $193,950 a year ($93.24 an hour), 280% above the median for all U.S. jobs ($50,980). Most people in this job earn between $79,010 and $247,220 or more a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 6.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 4,300 jobs in 2035. It expects about 300 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 790 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 792nd largest of the 796 jobs on this site. BLS expects about 4,300 in 2035.

The most common requirement is a master's degree: about 58% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Systems Evaluation, Operations Analysis, Systems Analysis, Science
• Get strong at the parts of the job that stay with people (listed above), which take 6h 9m of a typical shift
• Tools employers list: Microsoft Office software, Adobe Acrobat, Google Sheets, Hypertext markup language HTML, IBM SPSS Statistics
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Develop and administer surveys to employees of organizations.
• Teach industrial-organizational psychology courses to undergraduate or graduate students.

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Human Resources Managers (0m touched, $149k median pay)
• Epidemiologists (19m touched, $87k median pay)

Each task carries its own evidence label. For this job: 6 observed in real AI use, 19 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.