
Senior learning strategist Lori Niles‑Hofmann predicts that 2026 will see a sharp decline in generic, one‑size‑fits‑all training programs, replaced by AI‑driven tutors and performance‑support tools that deliver personalized, contextual learning experiences. She cautions against over‑hyping generative AI, emphasizing the need for workflow redesign and the integration of intelligent agents to keep L&D strategically relevant. The discussion also highlights growing concerns around ethics, data privacy, and employee trust as organizations accelerate digital learning initiatives. Despite technological advances, she stresses that human skills, classroom interaction, and empathy remain essential for effective talent development.

Organizations invest heavily in personality assessments like DISC and CliftonStrengths, yet the insights often fade once daily work resumes. The core issue is that static reports rely on memory, which collapses under pressure, preventing behavior change. AI‑driven coaching can embed...

AI coaching is emerging as a scalable solution for personalized employee development, moving beyond traditional high‑potential‑only models. In a Talent Development Leader podcast, Kirsten Moorefield, co‑founder of Cloverleaf, explains how AI‑driven coaches can level the playing field and deliver tailored...

Upskilling has become HR’s top challenge, with 45% of leaders naming it their biggest priority, surpassing recruitment and well‑being concerns. A Capterra survey shows 68% of firms expect upskilling costs to rise, signaling a shift toward customized, technology‑enabled learning. Effective...

The article warns that AI hype in large enterprises has faded, leaving many learning‑and‑development (L&D) teams stuck in “pilot purgatory.” Without a unifying business objective, experiments become siloed, wasteful, and generate change fatigue. The author proposes an AI North Star—a...