Artificial Intelligence (AI)
Compliance, sales, leadership: Where AI makes learning sense
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 strengthens human judgement, improves reporting, and helps organisations keep pace. Markets shift faster than training calendars. New regulations emerge mid-year. Products evolve quarterly. Skills become outdated almost as soon as they are learned. Yet many L&D teams are still expected…
The AI upskilling mandate: An L&D strategy for the AI era
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, synthesis and change leadership. Lee Whitmore sets a four-point plan. For the people profession, the conversation around AI has been dominated by two themes: the anxiety of automation (which jobs will be lost?) and the ethics of governance (how do…
You won’t believe what’s hiding in your learning content (and what it’s costing you)
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 Years of content accumulation have resulted in outdated, duplicative, and siloed courseware across disconnected systems.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 costs, but with AI, organisations can turn chaos into clarity. Companies don’t know what’s inside their learning content. Over the past two decades, enterprises have amassed vast libraries of digital training materials: SCORM packages, PDFs, videos, assessments, and more. These…
The efficiency paradox: Why AI is speeding up work but slowing down leadership
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 must build leaders who unleash human judgement, creativity, and meaning. Organisations are getting faster. But they are not getting better at leading people. That is the uncomfortable truth at the centre of the AI revolution. As companies race to automate,…
Three AI adoption patterns that look busy but break performance
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 how L&D can build role-based capability, checking habits and accountability. Most organisations are already living with AI at work. People use it to draft, summarise, rewrite and plan. Some outputs are good. Most are just fast. A lot is quietly…
Workslop and the illusion of progress in the age of AI
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 over output so organisations keep judgment, culture and quality intact. In today’s workplace, many organisations are effectively handing their keys to a stranger by deploying artificial intelligence (AI) tools without a clear strategy. In doing so, they may believe they’re…
Into the unknown: Why 2026 marks a turning point for L&D
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: embedding AI, using data, redesigning learning, and redefining L&D’s role. The 2026 L&D Global Sentiment Survey (GSS) may prove to be the most significant in its thirteen-year history – not because it signals a single dominant trend, but because it…
Ready or not, 2026 is the year of skills
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 work and prioritise high-impact skills can turn disruption into advantage. The UK workforce is at a turning point. AI is reshaping roles, but adoption and readiness vary widely across sectors. Skills England warns of persistent barriers, including low foundational literacy,…
Is your organisation truly data-driven – or just investing in tech?
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 real problems, build confidence to turn evidence into everyday decisions. Despite billions invested in digital transformation, far too many organisations confuse technology spend with evidence-based leadership. In my roles at Corndel, from leading on Data and AI Strategy to serving…
2026 is the year L&D operationalises AI, without losing the human touch
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: human plus AI, adaptive learning, and business focus without overwhelm. In 2026, L&D has to stop treating AI as a bolt-on project and start treating it as part of how work gets done and shows up in workflows. Will organisations…
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