Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Training & Dev. Managers:
54.5%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forTraining and Development Managers
$133,000 median salary•4,100 annual openings•SOC Code: 11-3131.00
Training and Development Managers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Training and Development Managers are labeled "Mostly Resilient" because while AI is taking over routine tasks like building course content, editing videos, and handling admin work, the heart of this job still needs a human touch. The most valuable parts, like coaching employees, changing workplace culture, and helping people build confidence with new skills, are things AI simply cannot replicate.
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Training and Development Managers are labeled "Mostly Resilient" because while AI is taking over routine tasks like building course content, editing videos, and handling admin work, the heart of this job still needs a human touch. The most valuable parts, like coaching employees, changing workplace culture, and helping people build confidence with new skills, are things AI simply cannot replicate.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Training & Dev. Managers
Updated Quarterly
How is AI changing Training & Dev. Managers jobs?
For Training and Development Managers, AI has quickly become a coworker rather than a replacement. According to ATD's 2026 State of the Industry report, more companies now provide practical AI skills training than technical AI skills training (55 percent versus 45 percent), meaning L&D leaders are both teaching AI and using it themselves. The most automated parts of the job right now are the behind-the-scenes tasks — designing content, editing videos, drafting quizzes, and running administrative work.
In fact, the average direct learning expenditure across all participating organizations was $846 per employee, a $408 decrease from 2024, driven by factors including greater use of virtual instructor-led classrooms, reductions in TD headcount, and efficiency gains from automated administrative processes. A Training Industry piece from July 2026 [1] argues that the human parts — coaching, culture-setting, and personalized learning design — are becoming more valuable, not less. Similarly, a Chief Learning Officer article [2] notes that employees view AI as a tool for augmentation rather than substitution and want humans to remain accountable for judgment calls.
So the pattern is clear: automate the routine, keep the human relationships.
Sources
How fast is AI adoption growing for Training & Dev. Managers?
Adoption is moving fast but unevenly. PwC's 2026 Global AI Jobs Barometer [3] found that the average wage premium for workers with AI skills hit 62%, up from 57% last year, and jobs requiring specific AI skills have grown roughly eight times as fast as the overall jobs market — huge pressure for L&D teams to deliver reskilling quickly. Costs also favor adoption: tools that auto-generate courses are cheap compared with instructor salaries, which is partly why TD headcount reductions are showing up.
But social and cultural barriers are real speed bumps. Deloitte's 2026 Human Capital Trends [4] reports that 44% of UK workers have used AI to automate part of their job, often without their employer's knowledge, and 69% believe their organisation's culture needs to change significantly because of AI. Trust and confidence gaps slow rollouts, and many AI implementation strategies assume adoption is primarily a skills challenge, but in reality adoption is often a confidence challenge.
The upshot for young people curious about this career: T&D Managers who blend tech-savvy content design with strong human coaching skills are in a strong spot. AI is reshaping how training is built, but the human work of building trust, changing culture, and helping people grow still needs a human at the wheel.
Sources
Will AI replace Training & Dev. Managers?
No. We don't think AI will replace Training and Development Managers, though we do expect the job to change.
Our scorecard gives this role a 54.5% AI Resilience Score, landing it in "Mostly Resilient" territory. That feels right to us. The routine parts of the job, like drafting quizzes, editing videos, and handling administrative work, are already being automated, and that shift is real. But the core of what a Training and Development Manager actually does is harder to hand off to a machine.
The human work here is coaching people, building trust, and shifting workplace culture. Those things require judgment, empathy, and relationships. A piece from trainingindustry.com makes the case that skills like coaching and personalized learning design are becoming more valuable, not less, as AI handles the busywork. Employees also want humans accountable for the big calls, not algorithms [2]. That demand for human oversight is a real protection for this career.
The economic picture adds to the case. With AI skills commanding a 62% wage premium in the broader labor market [3], companies desperately need L&D leaders who can design and deliver reskilling programs fast. If you build both strong people skills and comfort with AI tools, you are not competing with AI in this field. You are the person companies need to manage it.
Sources
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Latest AI news for Training & Dev. Managers
These articles highlight how Training and Development Managers can thrive in an AI-driven landscape. For instance, McKinsey emphasizes the need for organizations to foster a culture of rapid learning, suggesting that leaders who embrace AI will better equip their teams. Meanwhile, the IBM piece outlines the importance of upskilling employees in AI technologies, underscoring a manager's role in developing relevant training programs. By focusing on AI resilience, future managers can adapt to changes and create impactful learning experiences that meet evolving needs.
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More Career Info
Career: Training and Development Managers
They help employees learn new skills by planning and directing training programs, making sure everyone can do their jobs better.
Parent Careers
Employment & Wage Data
Median Wage
$133,000
Jobs (2025)
50,200
Growth (2025-35)
+6.4%
Annual Openings
4,100
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Train instructors and supervisors in techniques and skills for training and dealing with employees.
2
Conduct orientation sessions and arrange on-the-job training for new hires.
3
Conduct or arrange for ongoing technical training and personal development classes for staff members.
4
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, conferenc...
5
Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.
6
Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.
7
Coordinate established courses with technical and professional courses provided by community schools, and designate training procedures.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
