AI training insights

"Speed to Unlearn" argues that our biggest obstacle isn't what we don't know, but what we can't let go of. Using examples like Tiger Woods remaking his swing, it explains why "unlearning" - consciously abandoning successful patterns - is essential for growth. The post covers the neuroscience of habit formation, provides a 4-step unlearning framework, and offers strategies for individuals and organizations to thrive by continuously evolving rather than perfecting any single approach.

Active learning, which involves doing and generating information rather than passively consuming it, leads to better and faster learning outcomes. Research supports that active learning, through methods like play and retrieval practice, improves retention and performance in various educational settings. This approach also simplifies assessment by providing immediate feedback and concrete evidence of understanding.

In the "Adaptation Economy," "speed to learn" is the key competitive advantage. Traditional learning is too slow for rapid change. The post highlights four learning layers (individual, team, organizational, cultural) that must align for true learning velocity. AI significantly accelerates learning by offering personalized, just-in-time training and constant feedback. The article provides a toolkit with actionable advice for improving learning speed at each level, emphasizing that making learning integral to hiring and role design builds a sustainable "learning advantage."

Effective learning, like successful gardening, hinges on creating the right environment, not direct intervention. Self-Determination Theory (SDT) emphasizes that fostering a sense of autonomy, competence, and relatedness is crucial for learner motivation. By satisfying these fundamental psychological needs, we can cultivate self-determined learning experiences. Even with the rise of AI, these core human needs remain paramount for designing truly successful learning environments.

Every few years, a new technology emerges that separates the winners from the losers. Some companies rapidly adapt their workforce and processes, thriving in the new landscape, while others stick to familiar approaches and watch their market share evaporate. As AI accelerates the pace of disruption even further, we're entering the Adaptation Economy: an era where the ability to learn, unlearn, and relearn faster than change occurs becomes your primary competitive advantage

Every leader wants to innovate, but our brains are wired to make new technology look like old solutions. This pattern, visible from 19th-century cars to modern AI, creates an "innovation trap." Here’s how to see it—and escape it.