Category Artificial Intelligence (AI)

From job redesign to work transformation: How organisations can future-proof roles in the age of AI and skills shortages

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Technology isn’t the blocker, work design is. Many organisations trap people in low-value tasks while layering AI onto old workflows. Johnson Wong argues leaders must shift from updating job descriptions to transforming how work flows at task level, prioritising high-impact…

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The AI bottleneck is people

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AI adoption is racing ahead, but most organisations are blocked by people, not technology. Skills gaps, weak data fluency and shaky governance turn pilots into bottlenecks. Mehdi Paryavi explains how HR and L&D can build AI literacy, upskill leaders, embed…

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Smarter skills for a messy world: Why middle managers are the real organisational stabilisers

Hard Skills vs. Soft Skills is shown on the conceptual business photo

Middle managers hold organisations together by translating strategy into everyday decisions, absorbing emotional tension and making meaning when work is messy. These capabilities are too often mislabelled as “soft skills”, leading to underinvestment and burnout. Gary Cookson argues that they…

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The five power skills that will matter most as AI reshapes work

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As AI embeds itself into organisations, the focus shifts to the human capabilities it cannot replace. Nicki Morris explores five priorities for workforce development: AI literacy, clear communication and prompting, reflective critical thinking, emotional and ethical judgement, and creativity. For…

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The execution gap in L&D: Why strategic ambitions are outpacing reality

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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…

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Skills, not job titles: Rethinking workforce strategy in the AI age

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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…

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Faster hiring or better hiring? Finding the human balance with AI

"Should AI Hire" Organizations debate automated recruitment and selection processes today. HIRE. RECRUIT. SELECTION. HR. CANDIDATE.

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…

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The TJ L&D Influence Report 2026

TJ L&D Influence Report 2026 front cover

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…

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Polycrisis mode: Why L&D needs an operating system, not a wish list

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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…

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Compliance, sales, leadership: Where AI makes learning sense

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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…

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