Training and Development Managers
ManagementAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.378
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.36
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 60% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 8 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
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.11-3131 | 0.013537.6 |
Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.11-3131 | 0.011431.9 |
Analyze training needs to develop new training programs or modify and improve existing programs.11-3131 | 0.007320.4 |
Develop and organize training manuals, multimedia visual aids, and other educational materials.11-3131 | 0.003610.1 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Develop and organize training manuals, multimedia visual aids, and other educational materials.O*NET Task ID 1013 | 1.0 |
Conduct orientation sessions and arrange on-the-job training for new hires.O*NET Task ID 1008 | 0.5 |
Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.O*NET Task ID 1009 | 0.5 |
Develop testing and evaluation procedures.O*NET Task ID 1010 | 0.5 |
Conduct or arrange for ongoing technical training and personal development classes for staff members.O*NET Task ID 1011 | 0.5 |
Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.O*NET Task ID 1012 | 0.5 |
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.O*NET Task ID 1014 | 0.5 |
Analyze training needs to develop new training programs or modify and improve existing programs.O*NET Task ID 1015 | 0.5 |
Review and evaluate training and apprenticeship programs for compliance with government standards.O*NET Task ID 1016 | 0.5 |
Coordinate established courses with technical and professional courses provided by community schools, and designate training procedures.O*NET Task ID 1018 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page