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AI exposure Management

Will AI replace training and development managers?

Training and Development Managers. US occupation 11-3131.

The reading

37.8%

of the time training and development managers spend on their work goes on tasks where AI is already being used to do that work.of training and development managers' working hours go on tasks AI has already started taking off their plate.

Ranked 41 of 756 US occupations. More exposed than 94% of them.Further along than 94% of them.

Average US job 7.7%

One of the most exposed jobs in the country.Front of the queue for an AI assistant.

What AI already does for training and development managersWhat training and development managers no longer do alone

O*NET lists 12 tasks for training and development managers. AI use at work shows up in 4 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Analyze training needs to develop new training programs or modify and improve existing programs.Core task mostly automated 0.89
  2. Plan, develop, and provide training and staff development programs, using knowledge of the effectiveness of methods such as classroom training, demonstrations, on-the-job training, meetings, conferences, and workshops.Core task automated and assisted 0.83
  3. Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.Core task automated and assisted 0.82
  4. Develop and organize training manuals, multimedia visual aids, and other educational materials.Core task automated and assisted 0.77

What it does not touch, yetWhat still needs a human

8 of the 12 tasks show no AI use at work in the data.

  • Conduct or arrange for ongoing technical training and personal development classes for staff members.Core task
  • Conduct orientation sessions and arrange on-the-job training for new hires.Core task
  • Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.Core task
  • Develop testing and evaluation procedures.Core task
  • Prepare training budget for department or organization.Core task
  • Review and evaluate training and apprenticeship programs for compliance with government standards.Core task
Show the other 2
  • Train instructors and supervisors in techniques and skills for training and dealing with employees.Core task
  • Coordinate established courses with technical and professional courses provided by community schools, and designate training procedures.

How that compares

Among the 35 management occupations, training and development managers rank 2. The group averages 9.8%, and its most exposed job is Financial Managers at 39.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 38Astronomers 38.5%
  2. 38Interviewers, Except Eligibility and Loan 38.5%
  3. 40Sociologists 38.3%

Just below

  1. 42Graphic Designers 36.7%
  2. 43English Language and Literature Teachers, Postsecondary 36.2%
  3. 43Medical Secretaries and Administrative Assistants 36.2%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.