Artificial Intelligence (AI)
The high-risk consequences of underprepared managers
Changing employment rules, rising workplace conflicts and easy access to AI-generated advice are putting managers under growing pressure. Nick McClelland argues that organisations must move beyond compliance-led training and give managers the confidence, judgement and practical conversation skills needed to resolve issues early, fairly and effectively before they escalate further. In 2026, my conversations have been dominated by one theme: manager and leader capability. Not as a general development aspiration, but as a pressing operational and people risk concern. The…
Beyond the prompt: What L&D teams should consider when implementing AI
L&D teams may be fluent in many AI tools, but true readiness requires more than adoption. Kristin Delgado explains why measuring human factors such as learning agility, critical thinking and reliance on AI can help learning leaders close confidence gaps, target support and guide organisations through digital transformation more effectively. When new challenges require an organisation to rethink existing ways of working, upskill staff, and redesign training, learning and development are promptly called to the rescue. As those responsible for…
Workers need to learn how to question AI, not just how to use it
As AI becomes commonplace at work, employees need more than technical know-how. Gray Mytton explains why workers must question outputs, spot errors and apply human judgement, while developing critical thinking, adaptability and curiosity to navigate changing tasks, emerging roles and increasingly AI-shaped workplaces with confidence and care in future work. Workers need to learn how to question and check AI-generated information rather than simply how to use AI tools, as new figures show AI use is becoming increasingly common across…
Why AI-Generated content is becoming harder for L&D teams to manage
As AI accelerates content production, Chris Van Wingerden stresses that L&D teams face a new bottleneck: managing the volume of learning content they can create. Drawing on dominKnow’s LCMS Report, he explores why content management, governance and human oversight are becoming essential to keeping AI-generated learning trustworthy, compliant and useful. For years, the learning industry has focused on one persistent challenge: creating enough content to keep pace with organisational change. Today, that challenge looks very different. AI has transformed the…
AI in Learning 2026: A day built for sensemaking, not just adoption
Slow down, question the hype and reclaim a voice in workplace AI decisions. Julie Drybrough explores why L&D and HR professionals need space to make sense of fast-moving technology, examine its practical and ethical implications, and shape how AI is adopted rather than simply implementing choices made elsewhere for them. How much AI information can any of us actually process before “keeping up” starts to feel like drowning? That was one of the questions that prompted Fiona McBride (Fiona McBride…
AI is changing work. Is L&D changing fast enough?
Dr Ravinder Tulsiani argues that generative AI demands more than basic tool training. L&D must map AI to real work, build judgement and validation skills, update competency frameworks and measure performance impact. The opportunity is to move beyond content delivery and redesign capability for an increasingly AI-enabled workplace at scale. Generative AI is reshaping how work happens. L&D professionals need to look at what exactly is changing about work and how we should we respond. A major Microsoft Research study…
When your boss is an AI bot
David Buchanan and Steve Macaulay explore how AI could reshape leadership, from augmenting decision-making to taking over selected management tasks. They examine the benefits, risks and human implications of bot bosses, and argue that L&D must prepare employees to challenge, collaborate with and, when necessary, override artificial leaders at work. Could artificially intelligent (AI) bots take over leadership roles? What are the implications for human resource management, and for learning and development? AI can display cognitive abilities that allow it…
TJ podcast: L&D needs to stop talking about learning, with Cathy Hoy – episode 332
What does it take for L&D leaders to now think more commercially, connect learning to business outcomes and move way beyond delivery? Cathy Hoy talks strategic thinking, the limits of ROI, the importance of understanding the business, and how L&D can build greater influence, confidence and impact across the organisation. Key takeaways: Podcast summary: Should L&D leaders stop talking about learning? That’s one of the provocations in the latest TJ podcast, where Jo Cook speaks with Cathy Hoy about what it…
The AI fire hydrant: L&D’s new job is to redesign the pipework
AI can make the creation of work dramatically faster. Unless L&D helps their organisation to change how work moves, gets judged and turns into value, the result will be pressure, not progress: stress on teams that are already at capacity, using process that weren’t designed for AI, says Erica Farmer. I keep hearing a version of the same story; someone uses AI to produce a first draft, analysis or set of options in a fraction of the usual time. Their…
Why AI automation fails when organisations move too fast
Redesign workflows before deploying AI to avoid costly failures and build responsible automation. Dr Wendy Lynch explains what organisations can learn from flawed chatbots, biased recruitment tools and rushed cost-cutting, and why governance, stress-testing, human oversight and thoughtful process design are the foundations of effective, trustworthy AI adoption at scale. AI Automation is expanding exponentially and improving rapidly. As we leap ahead, it’s helpful to learn from the stumbles made by early pioneers. The cautionary tales around AI tend to…
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