Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Training and Development Managers?
Task-level automation exposure for Training and Development Managers: 12 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
54%
weighted task index
12 of 12 tasks scored
Median Salary
$133,000 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
48,050 people hold this job — size, not growth
Projected 2025–35
+6.4%
employment change
4,100 openings a year · BLS line item
Pay by state
BLS OEWS publishes 49 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$88,030 – $172,340
Highest medians
Delaware $172,340
New York $171,400
Washington $163,360
New Jersey $160,540
California $156,260
Lowest medians
Mississippi $88,030
Puerto Rico $94,310
Montana $98,950
Nevada $99,110
Arkansas $101,830
State figures come from the 11-3131 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 54%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 69%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 9%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 27%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 0/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
12 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 41%
5 tasks
Medium exposure (≥ 35%) 59%
7 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- Revision 08/2024 · Occupational Expert
Confer with management or stakeholders and conduct surveys to identify training needs based on projected production processes, changes, and other factors.
Replaced: Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.
- Revision 08/2024 · Occupational Expert
Evaluate instructor performance and the effectiveness of training programs, providing data and recommendations for improvement.
Replaced: Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.
- Revision 08/2024 · Occupational Expert
Train instructors, supervisors, and other leaders in techniques and skills for training and interacting with employees.
Replaced: Train instructors and supervisors in techniques and skills for training and dealing with employees.
Constituent Tasks
#1015 · Core · 45% automatable
Analyze training needs to develop new training programs or modify and improve existing programs.
interpersonal — Survey design aided; administration needs human respondents
Conduct opinion surveys or needs assessments.
#1009 · Core · 63% automatable
Revision
Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.
data analysis — Program metrics analysis, human owns conclusions
Evaluate program effectiveness. Evaluate training programs, instructors, or materials. Evaluate employee performance.
#1014 · Core · 40% automatable
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.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs. Manage human resources activities.
#1012 · Core · 45% automatable
Revision
Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.
interpersonal — Survey design aided; administration needs human respondents
Conduct opinion surveys or needs assessments. Confer with organizational members to accomplish work activities.
#1008 · Core · 45% automatable
Conduct orientation sessions and arrange on-the-job training for new hires.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs.
#1017 · Core · 45% automatable
Revision
Train instructors and supervisors in techniques and skills for training and dealing with employees.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs.
#1013 · Core · 76% automatable
Develop and organize training manuals, multimedia visual aids, and other educational materials.
text generation — Draft training materials; human tailors content
Prepare graphics or other visual representations of information. Develop training materials.
#1019 · Core · 72% automatable
Prepare training budget for department or organization.
data analysis — Budget drafting from assumptions; human validates assumptions
Prepare operational budgets.
#1010 · Core · 65% automatable
Develop testing and evaluation procedures.
text generation — AI drafts evaluation procedures; human adapts to org
Develop procedures to evaluate organizational activities.
#1011 · Core · 45% automatable
Conduct or arrange for ongoing technical training and personal development classes for staff members.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs.
#1016 · Core · 65% automatable
Review and evaluate training and apprenticeship programs for compliance with government standards.
decision support — AI assesses compliance against written standards
Determine operational compliance with regulations or standards. Evaluate training programs, instructors, or materials.
#1018 · Supplemental · 40% automatable
Coordinate established courses with technical and professional courses provided by community schools, and designate training procedures.
decision support — Event planning aided; execution and accountability human
Coordinate special events or programs.
Embed this calculator on your site ↓
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="training-and-development-managers"></div>
<script src="https://giniloh.com/embed.js" async></script> Method
How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
Best AI Proof Jobs in a Changing Market
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->