Jennie Marshall argues that while organisations are investing heavily in AI, too few are turning pilots into meaningful impact. The real barrier is not technology but leadership, culture and capability. To close the gap, leaders must build confidence, embed AI…
Alice Desbouvrie argues that employee engagement improves when leaders share a clear definition of what it means. Without that alignment, learning, communication and support become easily fragmented. Lisa explores why consistent leadership thinking matters, how disengagement affects performance and retention,…
Organisations need faster, more practical ways to prepare everyone for disruption. Lawrie Day explores why immersive, scenario-based learning, and the right platform, can help L&D leaders move beyond tick-box training, strengthen resilience, improve readiness, and deliver measurable results in a…
JPMorgan’s AI rollout shows that successful adoption depends less on the technology itself and more on trust, transparency and ownership. Nick Petschek argues that L&D leaders must treat AI implementation as a cultural change effort, helping people feel safe to…
As TikTok reshapes how younger workers discover ideas, Karie Willyerd argues that L&D teams should pair short-form, curiosity-led content with hands-on practice. She explores what Gen Z and Millennials want from development, why purpose matters more than hierarchy, and how…
With employee engagement falling and global uncertainty rising, Nabil Verdickt argues that people need more than perks, wellbeing apps and purpose slogans. Drawing on Stoic and Aristotelian thinking, Nabil explores how leaders can restore meaning by helping people see their…
Why do high performers disengage from careers that seem successful on paper? In this article, Laura Simms unpacks how competence, conditioning and misdiagnosed burnout can hide poor fit, and argues that better support starts when organisations help people question the…
Jordan Hammerstad, L&D lead at The Josh Bersin Company, argues that L&D must step out of the course factory and into the messy reality of performance where influence evidence and business proximity decide whether change sticks. L&D needs to build…
Chris Eigeland argues that L&D teams must stop measuring success by the size of their content libraries and start curating smarter, skills-led pathways. With AI, governance and better evaluation, organisations can reduce waste, improve engagement and build learning cultures focused…
AI is erasing the practice layer of everyday work, and L&D must rebuild it. Dmitry Zaytsev says draft writing, rough analysis and early recommendations were safe spaces for learning judgement. As machines take those tasks, organisations need structured practice, decision…
