"The Learning and Development (L&D) landscape relied on the same standardized programs and inflexible slide decks for decades. This model complied with basic training on a repeat basis. Basic training overshadowed what true talent development could (and should) offer. The pace of business transformation has surpassed our capacity to keep curricula up to date. Today, the old training model isn't just inefficient; it is insufficient."
"Artificial Intelligence (AI) is fundamentally reshaping employee training methods. It is enabling us to shift from reactive, episodic learning to a model that is proactive, personalized, and deeply integrated into the flow of work. According to a McKinsey research report, nearly half of employees in their survey say they want more formal training and believe it is the best way to boost AI adoption."
Traditional Learning and Development relied on standardized programs and inflexible slide decks, delivering repeatable basic training that crowded out true talent development. Business transformation now outpaces the capacity to keep curricula updated, making legacy training models inefficient and insufficient. Employees expect hyperpersonalized learning experiences and many want more formal training to support AI adoption. Traditional methods fail due to three core problems: designing for an "average" learner, unclear evidence linking course completion to performance, and slow program updates that lag market change. AI enables a shift to proactive, personalized learning integrated into the flow of work, serving as a strategic lever for workforce readiness.
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