In a world of huge rising demand, reskilling pressure and AI acceleration, L&D keeps saying it must be strategic. But operational data shows execution is where things fail: prioritisation, flow, capacity and measurement. Ryan Austin argues the real shift is…
AI is accelerating change, but so many organisations are still built for stability, not speed. Toby Hough argues that shifting from job titles to a skills-first operating models helps businesses see capability, redeploy talent and retain people. With AI powering…
As artificial intelligence reshapes Talent Acquisition, organisations are gaining speed, scale and consistency across screening, scheduling and candidate engagement. Yet automation can amplify bias, erode trust and weaken human connection. Kavneet Kaur explores where AI delivers value, where it falls…
After months exploring why L&D’s best evidence and intentions still stall, Editor Jo Cook shares a new report shaped by Training Journal’s 60th Anniversary Conference. It introduces the Readiness Enablers Index and highlights practical conditions like stakeholder access, data, experimentation…
In time defined by AI, uncertainty and shifting norms, Phil Reddall argues L&D must stop reacting and start navigating. Using the Global Sentiment Survey and a Learning Operations mindset, he shows how data, business alignment and clear pillars help teams…
AI is no longer a future-facing experiment for top L&D teams. In this article, RK Prasad explores how smart use of AI can shorten development cycles, tailor learning to different roles, and give employees rapid, in-work support. Done well, it…
In the rush to govern AI and fear automation, organisations are ignoring the most urgent issue: capability. This article argues HR and L&D must distinguish autopilot risks from co-pilot opportunity, move beyond basic AI prompt training, and prioritise critical thinking,…
L&D are facing a massive, overlooked challenge: they don’t know what’s actually inside their digital learning content libraries. Years of content accumulation have resulted in outdated, duplicative, and siloed courseware across disconnected systems. This “invisible” content causes direct and hidden…
Andrew Bryant argues that AI-driven efficiency is outpacing leadership capability, creating an “efficiency paradox” where organisations perform better on paper but grow strategically weaker. He explores Klarna’s AI lesson, the shift from performance management to potential development, and why L&D…
Fahed Bizzari argues most organisations are just drifting into AI use, creating activity without dependable performance. He outlines three common patterns: waiting, rolling tools out, and mandating use, all of which fuel shadow AI: uneven quality and rework. He shows…
