Mostly Resilient
Last Update: 7/31/2026
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•3,800 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 land in the "Mostly Resilient" category because while AI is taking over a lot of the time-consuming content work (like writing training materials and building presentations), the heart of this job still requires deeply human skills that AI simply cannot replicate. Things like coaching supervisors, building relationships with employees, making ethical decisions about how people learn, and setting the overall direction for a company's training programs all depend on judgment and empathy that no algorithm can replace.
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Training and Development Managers land in the "Mostly Resilient" category because while AI is taking over a lot of the time-consuming content work (like writing training materials and building presentations), the heart of this job still requires deeply human skills that AI simply cannot replicate. Things like coaching supervisors, building relationships with employees, making ethical decisions about how people learn, and setting the overall direction for a company's training programs all depend on judgment and empathy that no algorithm can replace.
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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?
Right now, AI is mostly augmenting training and development managers rather than replacing them — but the change is moving quickly. Adaptive learning platforms, intelligent tutoring systems and generative content tools are starting to enable more personalized, responsive and scalable training than learners have ever experienced before, according to Training Industry's Winter 2026 special report [1]. That means tasks like writing training manuals, building slide decks, and drafting orientation content (the most automatable parts of the job) are increasingly being done with AI assistance.
SHRM's State of AI in HR 2026 report [2], published in April 2026, finds that AI is reshaping HR functions including learning and development, and CHROs are now expected to lead adoption while managing change and risk. A March 2026 analysis from Josh Bersin's research team [3] describes the entire enterprise learning tech market as rapidly transforming around AI. Still, the higher-judgment tasks — evaluating instructor performance, coaching supervisors, and setting budgets — are not being handed to machines. eLearning Industry's March 2026 trends report [4] emphasizes that human connection and "unpromptable" skills like empathy, ethical judgment, and relationship-building are exactly what L&D leaders are being asked to protect and grow.
Sources
How fast is AI adoption growing for Training & Dev. Managers?
Adoption is happening fast because the tools are cheap, widely available, and immediately useful. Generative AI can draft a training module in minutes that used to take a designer days, which is why L&D must move beyond siloed technical training and toward cross-functional, role-specific learning pathways that integrate AI into the context of real work. Labor markets are also pushing employers to upskill workers faster than ever — an April 2026 EPIC jobs report [5] noted that AI is beginning to visibly reshape hiring patterns, which raises the pressure on training managers to reskill staff.
But there are real brakes too: trust, accuracy, and bias concerns mean companies still want a human to review AI-generated content, and SHRM's 2026 research [2] highlights that adoption requires careful risk management and change leadership. The good news for anyone curious about this career: the work is shifting, not disappearing. The training managers who thrive will be the ones who treat AI as a powerful assistant — letting it handle first drafts, content generation, and personalization — while focusing their own time on strategy, coaching, ethics, and the human side of learning that algorithms can't replicate.
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, which puts it in somewhat better shape than most occupations. The reason is straightforward: AI is already handling the most automatable parts of the work. Generative tools can draft training modules, build slide decks, and personalize learning content far faster than any human could [1]. That shift is real and it is accelerating.
What stays human is the harder stuff. Evaluating instructor performance, coaching supervisors, managing change, and making ethical calls about how learning programs are designed and delivered are not tasks you can hand to an algorithm [4]. SHRM's 2026 research finds that companies still want human oversight on AI-generated content, and that leading adoption while managing risk is now a core expectation for L&D professionals [2]. The pressure to reskill workers quickly is also growing, which means employers still need experienced people to set strategy and build learning cultures [5].
The honest picture is that this role is evolving, not disappearing. Training managers who treat AI as a capable assistant while owning the human side of learning will be in a strong position going forward.
Sources
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Latest AI news for Training & Dev. Managers
These articles highlight the evolving role of Training and Development Managers in the AI era. For instance, the McKinsey article emphasizes the need for leaders to foster a culture of rapid learning, essential for adapting to AI changes. Additionally, IBM discusses the importance of upskilling employees in AI to enhance organizational resilience. By understanding these trends, aspiring managers can better prepare for a future where they facilitate continuous learning and skill development, ensuring their organizations thrive in an increasingly automated world.
Loughborough University launches new Centre for Doctoral Training on AI for the Built Environment
www.lboro.ac.uk • 4/13/2026
Loughborough University is creating a new Centre for Doctoral Training (CDT) focused on addressing the challenges and opportunities of...
Reimagine learning and development for the AI age
www.mckinsey.com • 3/16/2026
As AI reshapes work, winning organizations won't just automate faster—they'll learn faster. Here's how leaders can make learning a core...
Experience AI-powered learning with Adobe Learning Manager.
business.adobe.com • 12/15/2025
Discover AI-powered personalized learning paths, semantic search, and admin assistance in Adobe Learning Manager. Deliver learning that is...
AI is likely to impact careers. How can organizations help build a resilient early career workforce?
www.deloitte.com • 12/6/2024
AI is likely to significantly impact the workforce. How are entry-level workers reskilling in the age of AI and building career resilience?
AI Upskilling Strategy
www.ibm.com • 10/15/2024
Explore how organizations can provide AI upskilling and reskilling for employees, and why leaders have a vested interest in doing so.
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 (2024)
46,400
Growth (2024-34)
+5.8%
Annual Openings
3,800
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Prepare training budget for department or organization.
2
Conduct orientation sessions and arrange on-the-job training for new hires.
3
Evaluate instructor performance and the effectiveness of training programs, providing recommendations for improvement.
4
Conduct or arrange for ongoing technical training and personal development classes for staff members.
5
Analyze training needs to develop new training programs or modify and improve existing programs.
6
Confer with management and conduct surveys to identify training needs based on projected production processes, changes, and other factors.
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.
