The AI Divide: What High-Performing Organizations Do Differently

Explore research-backed strategies for scaling coaching programs that align with business priorities and meet the needs of a modern workforce.

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      • What You’ll Learn 
      • Report Specifics
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      What You’ll Learn 

      What You'll Learn

      • How your AI strategy compares: See how high- and low-performing organizations differ in their use of AI for learning, from general adoption to specific L&D applications.  

      • Where AI is actually being used in training: Explore the most common use cases for AI in L&D, including personalization, simulations, performance support and coaching, as well as how many use cases organizations are realistically tackling at once.  

      • What employees and stakeholders really think about AI: Understand how leadership openness and employee sentiment toward AI rise and fall together, and why cultural alignment is a crucial ingredient for success.  

      • Best practices for any performance level: Get tailored guidance for both high-performing and lower-performing organizations, from embedding AI into strategy to starting small with focused pilot programs.  

      Behind the Report 

      AI has moved from speculative trend to everyday reality, but its role in employee training is far from straightforward. Learning leaders are under pressure to “do something with AI” while still juggling familiar challenges like scaling programs, engaging learners and keeping up with new technologies. 

      To find the signal amidst the noise, Training Industry surveyed 330 learning leaders about how they are using AI to support and advance employee learning, and how those efforts and practices relate to overall enterprise performance.  

      Instead of asking what AI could do, this research focuses on what organizations are actually doing today: how open their stakeholders are, how employees feel about AI at work, which training use cases they prioritize and how many AI initiatives they can realistically support at once.  

      Why It Matters 

      AI is quickly becoming a dividing line in how organizations approach learning, but not simply because some are using AI and others are not. What sets high performers apart is how they use AI and why. 

      Here’s what the data reveals: 

      • High-performing organizations use AI with clearer intent, focusing on applications that directly support learning needs. 

      • Stakeholder openness plays a defining role in whether AI efforts take hold. 

      • Employee sentiment toward AI strengthens or limits adoption across the organization. 

      • Learners are more receptive when AI use is transparent and aligned to the training experience. 

      The result is an “AI divide” that is less about access to technology and more about strategy, alignment and readiness. This report equips L&D leaders to close that gap with evidence-based insights and practical steps that turn hazy ambition into focused implementation. 

      Report Specifics

      Report Specifics

      Number of Pages: 32 pages
      Authors: Training Industry, Inc. research team
      Format: PDF
      Language: English

      Download the Preview

      Download the Preview