Context switching is costing your organization 40% of employee productivity. And most AI learning solutions aren't fixing it. New research reveals a critical divide in how AI is being applied to corporate L&D—and the difference in outcomes is staggering. The Two Approaches: 1️⃣ One focuses on generating content faster—AI-powered courses, videos, and assessments produced at scale. 2️⃣ The other focuses on making knowledge accessible—conversational systems that deliver answers when employees need them, where they already work. The Research Shows: Content generation AI means faster production, but zero measurable correlation with improved learning outcomes. Agentic learning AI delivers results that matter. → 80-90% completion rates vs. 15-20% for traditional eLearning → 70-80% knowledge retention after 30 days → 40% productivity boost by eliminating context switching → 300-500% ROI in year one The problem? Most L&D teams are investing in speed over outcomes. Our latest research article examines: The hidden costs of context switching in learning Evidence-based platform comparison across the market Why flow-of-work learning outperforms content generation Metrics that prove real L&D impact Read the full research whitepaper 👉 https://lnkd.in/ev5dEwnK
Continu great read! 100% agree on the hesitation of AI-generated training content. Just like blog articles, AI has made it easy to drown people in content that isn't helpful, humanized, and effective. More content doesn't mean more results... But, delivering it when people need it and via conversations in something like Slack, MS Teams, and SMS is a way better approach.