Organizations across industries are exploring how artificial intelligence (AI) fits into their learning and development (L&D) strategy. But while many are testing new tools, only some are translating experimentation into meaningful improvements in enterprise performance.
This report cuts through the hype. Drawing on insights from 330 learning leaders, it reveals how high-performing organizations are approaching AI differently, what separates intentional adoption from experimentation and how cultural alignment influences success.
Use these data-backed insights to guide a more strategic and practical approach to using AI in training for your business.
Key Findings
| HPOs are intentional about AI use | High-performing organizations tend to explore AI across more use cases and show stronger willingness to test and refine how AI supports learning. |
| Attitudes matter as much as adoption | Employees and stakeholders in high-performing organizations have more positive attitudes toward AI. |
| AI use is targeted, not pervasive | Even high performers are using only a subset of possible applications rather than applying AI everywhere. |
| AI isn’t a magic fix | The relationship between AI and performance is correlational, not causal; strategy and culture determine impact. |
This report reveals how organizations approach AI today, where the gaps emerge and what distinguishes high-performing organizations from those still finding their foothold.
Who Should Get the Report
- L&D leaders integrating AI into their learning strategy
- Training managers preparing employees for AI-enabled workflows
- Consultants advising clients on digital learning or capability building
- Product/service providers developing or refining AI-enabled solutions
Whether you’re leading L&D, consulting on talent strategy or shaping organizational policy, this research will equip you with the data and direction to guide responsible, high-impact AI adoption.
What’s Inside
- Data-driven insights from 330 learning leaders across industries
- Insights into how AI intersects with employee training, with examples of common use cases
- Findings on learner attitudes toward AI and how these views align with stakeholder openness
- Best practices with guidance tailored to organizations at different stages of AI adoption
This report brings clarity to the real work being done to support AI adoption in learning, revealing the practices that separate meaningful progress from empty promises.
