Will AI replace Industrial-Organizational Psychologists?

AI can do 87% of the work Industrial-Organizational Psychologists do at least twice as fast. People already use it for 6 of their 25 tasks, while 15 more are ready but barely used so far. 4 still need a person.

AI is already doing this6 · 23% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Analyze job requirements and content to establish criteria for classification, selection, training, and other related personnel functions.Mostly automated5% of time
  • Advise management concerning personnel, managerial, and marketing policies and practices and their potential effects on organizational effectiveness and efficiency.Mostly assisted5% of time
  • Assess employee performance.Mostly assisted4% of time
  • Develop new business by contacting potential clients, making sales presentations, and writing proposals.Mostly automated4% of time
  • Provide advice on best practices and implementation for selection.Mostly automated4% of time
  • Study consumers' reactions to new products and package designs, and to advertising efforts, using surveys and tests.Mostly automated1% of time

AI could do this next15 · 64% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Analyze data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs.10% of time
  • Develop and implement employee selection or placement programs.6% of time
  • Develop interview techniques, rating scales, and psychological tests used to assess skills, abilities, and interests for the purpose of employee selection, placement, or promotion.6% of time
  • Facilitate organizational development and change.6% of time
  • Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning.5% of time
  • Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, or motivation to assess organizational functioning.5% of time
  • Formulate and implement training programs, applying principles of learning and individual differences.4% of time
  • Study organizational effectiveness, productivity, and efficiency, including the nature of workplace supervision and leadership.4% of time
  • Conduct presentations on research findings for clients or at research meetings.4% of time
  • Identify training and development needs.3% of time
  • Review research literature to remain current on psychological science issues.3% of time
  • Write articles, white papers, or reports to share research findings and educate others.3% of time
  • Train clients to administer human resources functions, including testing, selection, and performance management.3% of time
  • Counsel workers about job and career-related issues.1% of time
  • Participate in mediation and dispute resolution.1% of time

Still needs a person4 · 13% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • 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.4% of time
  • Conduct individual assessments, including interpreting measures and providing feedback for selection, placement, or promotion.4% of time
  • Coach senior executives and managers on leadership and performance.4% of time
  • Provide expert testimony in employment lawsuits.1% of time

Your week is not the average

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What this means

AI can already do almost all of this work at least twice as fast. Real use is still behind at 19 out of 100, so the change here is only getting started. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 6 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 15 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 4 tasks that stay human. This is where your judgment, skill and relationships matter most.

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