Design and conduct training and development programs to improve individual and organizational performance. May analyze training needs.
U.S. Workers
436,610
Median Salary
$65,850
10-Year Growth
+10.8%
Annual Openings
43,900
Typical entry: Bachelor's degree
20 of 20 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials.
AI: Fully automatable - By 2025, AI can autonomously generate, organize, and format manuals, handouts, and visual materials from curricula and source content with high quality, requiring only review.
Keep up with developments in area of expertise by reading current journals, books, or magazine articles.
AI: Fully automatable - AI systems can continuously ingest, summarize, and alert users to new journal articles, books, and industry content, effectively keeping specialists up to date (subject to access rights).
Monitor training costs and prepare budget reports to justify expenditures.
AI: Fully automatable - AI can ingest financial data, monitor costs, run forecasts, and produce budget reports and justifications automatically with high accuracy when integrated with accounting sources.
Schedule classes based on availability of classrooms, equipment, or instructors.
AI: Fully automatable - AI systems can process availability constraints, optimize schedules, and handle bookings automatically.
Coordinate recruitment and placement of training program participants.
AI: Fully automatable - AI can manage applicant pipelines, match participants to openings, and automate communications and placement logistics end-to-end.
Assess training needs through surveys, interviews with employees, focus groups, or consultation with managers, instructors, or customer representatives.
AI: Partial - AI can design surveys, analyze responses, and conduct scripted interviews or summarize focus-group data, but lacks the nuanced interpersonal skills and contextual judgment needed for deep stakeholder consultations.
Design, plan, organize, or direct orientation and training programs for employees or customers.
AI: Partial - AI can design, plan, and create logistical plans and materials for orientation and training programs, yet directing, organizing across teams, and handling on-the-ground logistics still require human coordination and oversight.
Offer specific training programs to help workers maintain or improve job skills.
AI: Partial - AI can deliver many digital and knowledge-based training programs end-to-end, but hands-on, physical, or highly interpersonal skill training remains only partially automatable.
Present information using a variety of instructional techniques or formats, such as role playing, simulations, team exercises, group discussions, videos, or lectures.
AI: Partial - AI can generate and run simulations, role-playing scenarios, and multimedia instructional formats, but facilitating live team exercises and managing real-time group dynamics still depends on human facilitators.
Monitor, evaluate, or record training activities or program effectiveness.
AI: Partial - AI can collect, record, and produce analytic evaluations and metrics automatically, but full program-effectiveness judgment and contextual interpretation still require human oversight.
Develop alternative training methods if expected improvements are not seen.
AI: Partial - AI can analyze outcomes and propose alternative training methods and modalities, but adapting those alternatives to organizational politics, culture, and operational constraints needs human judgment and implementation.
Evaluate training materials prepared by instructors, such as outlines, text, or handouts.
AI: Partial - AI can review instructor materials for alignment, clarity, coherence, and compliance with learning objectives, but deep subject-matter or pedagogical nuance often requires expert human validation.
Evaluate modes of training delivery, such as in-person or virtual to optimize training effectiveness, training costs, or environmental impacts.
AI: Partial - AI can model and compare delivery modes on effectiveness, cost, and environmental impact using data, yet final optimization must account for contextual business and stakeholder considerations that humans resolve.
Negotiate contracts with clients including desired training outcomes, fees, or expenses.
AI: Partial - AI can draft contracts, propose outcomes and pricing strategies, and simulate negotiations, but actual contract negotiation and relationship management typically require human authority and legal responsibility.
Attend meetings or seminars to obtain information for use in training programs or to inform management of training program status.
AI: Partial - AI can attend virtual meetings to transcribe, extract action items, and summarize information for training use, but in-person presence, networking, and nuanced stakeholder communication remain human tasks.
Select and assign instructors to conduct training.
AI: Partial - AI can recommend instructor selections based on qualifications, availability, and past performance, but final assignment decisions usually require human judgment about fit, relationships, and HR constraints.
Supervise, evaluate, or refer instructors to skill development classes.
AI: Partial - AI can analyze performance data and recommend training or referrals but lacks full human judgment, authority, and interpersonal oversight required for supervising instructors.
Devise programs to develop executive potential among employees in lower-level positions.
AI: Partial - AI can design program frameworks and suggest curricula for developing executive potential, but cannot fully account for nuanced organizational politics, mentorship dynamics, and high-touch coaching needs.
Develop or implement training programs related to efficiency, recycling, or other issues with environmental impacts.
AI: Partial - AI can develop and adapt environmental training content and track outcomes, but implementation often requires stakeholder engagement and on-site or regulatory actions that need humans.
Refer trainees to employer relations representatives, to locations offering job placement assistance, or to appropriate social services agencies if warranted.
AI: Partial - AI can detect needs and generate appropriate referral suggestions or warm handoffs, but referrals to employer relations or social services typically require human verification and sensitive judgment.