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 Years of content accumulation have resulted in outdated, duplicative, and siloed courseware across disconnected systems.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…
Rushing AI into workflows can produce polished ‘workslop’ that masks shallow thinking, wastes time and erodes trust. Jenna Tiffany sets out a human-centred antidote: start with purpose, define boundaries, train people and tools, make human review non-negotiable, and reward outcomes…
Donald H Taylor shares insight from his 2026 L&D Global Sentiment Survey, which shows a profession leaving familiar patterns behind. AI is foundational but no longer the only story, as budgets tighten and value demands intensify. Yet practitioners are acting:…
AI is reshaping UK work, yet readiness is patchy and shortages still persist. Mark Onisk argues that 2026 demands skills-based workforce orchestration, tighter skills governance, smarter AI-human collaboration and scaled leadership development. Organisations that embed learning in the flow of…
Drawing on award-winning examples from healthcare, justice, media and policing, Jake O’Gorman argues that data-driven transformation depends on people, not platforms. He writes about why leaders must prioritise data quality, skills and ethical governance and shares stories that start with…
In 2026, L&D must embed AI into real workflows, redesign roles and focus on measurable outcomes, without sacrificing trust, culture and wellbeing. Drawing on views from leaders across HR, learning and analytics, TJ’s Editor Jo Cook explores three pressure points:…
As agentic AI moves to setting goals and acting, workplace learning is shifting into the flow of work. Johnson Wong argues leaders must design AI-enabled workflows, reskill for human oversight, and enable department alignment of IT, operations and the people…
