The future of the L&D function: Does it have value?
Summary
The article argues that learning and development (L&D) must rapidly transform from a peripheral support service into a strategic engine for business transformation. It outlines three interlinked priorities for L&D leaders: embed human+AI workflows, shift from content delivery to performance enablement, and prove value through robust measurement and alignment with business outcomes. The piece also calls for structural change — governance, new operating models and modern technology stacks — plus a mindset shift toward agility, data fluency and co-ownership of the learning agenda with HR and business leaders.
Source
Key Points
- L&D must evolve from support to strategic enabler or risk budget cuts and marginalisation.
- Adopt human + AI workflows: use AI for scale and speed while humans provide oversight, nuance and ethical judgement.
- Move from content delivery to performance enablement by prioritising learning in the flow of work and aligning learning to measurable business outcomes.
- Personalisation and career-path mapping increase engagement and help retain talent, especially for Gen Z.
- Demonstrate value with advanced measurement and analytics — beyond completion rates — to show impact on productivity and strategic goals.
- Reconfigure structure and governance (hub-and-spoke, centres of excellence, communities of practice) to balance consistency and local flexibility.
- Modernise the tech stack with AI-enabled tools, adaptive platforms and real-time analytics, but ensure governance before adoption to avoid fragmentation.
- Shift mindsets: embrace agile ways of working, build AI and data fluency, and reimagine workflows to integrate human+AI collaboration.
Context and relevance
The article speaks to an industry-wide pivot driven by AI, shifting workforce expectations and tighter scrutiny of L&D ROI. Organisations increasing training budgets expect demonstrable returns — so L&D leaders must link programmes to capability-building and business transformation. The recommendations align with broader trends: personalised learning, learning-in-the-flow-of-work and data-driven talent strategies. For anyone responsible for people, capability or transformation, the piece outlines practical strategic priorities and the consequences of inaction.
Why should I read this?
Short version: if your learning team still measures success by course completions, this is your wake-up call. Read it to get a compact playbook for turning L&D into a measurable, AI-augmented competitive advantage — plus the structural and mindset changes you’ll need to make it stick. It’s a quick, practical steer for leaders who want to keep L&D relevant and well-resourced.