Josh Bersin: AI Reshaping Corporate Learning
A recent report from analyst Josh Bersin argues that AI is reshaping corporate learning by shifting from static courses to dynamic, workflow-integrated enablement systems. The report outlines a maturity model for AI adoption in learning and development, predicting massive ROI for companies that reach the highest levels.
- The corporate training market is valued at over $400 billion, yet 74% of companies report they are not keeping up with the demand for new skills, indicating a significant gap between spending and effectiveness. - Companies that adopt an AI-first approach to learning, which Bersin calls "dynamic enablement," are six times more likely to exceed financial targets and seven times more productive. - The maturity model outlines four levels: Static Training, Scaled Learning, Integrated Development, and Dynamic Enablement. Organizations at the highest level move beyond course catalogs to AI-native platforms that integrate learning with knowledge management and on-the-job support. - Early adopters of AI-native learning platforms have reported up to a 40-50% reduction in internal L&D spending, as content development time can be compressed from months to days. - The shift is away from traditional Learning Management Systems (LMS) toward AI-native systems from vendors like Sana, Arist, Disperz, and Uplimit that can generate and adapt content dynamically. - Research from a Microsoft-sponsored IDC study indicates an average ROI of $3.70 for every dollar invested in AI training, with top-performing organizations seeing a return of $10.30. - The global market for AI in corporate training was valued at $100 billion in 2024 and is projected to grow to $500 billion by 2032.
