This week: the quiet redefinition of what L&D is for and a research finding that should worry anyone responsible for how their company actually uses AI.

1. What changed

  • Josh Bersin: corporate training is "lurching toward enablement." His argument: the center of gravity is moving from formal courses to performance support in the flow of work — and the teams that win will be the ones closest to the actual job, not the ones publishing the most content. (Josh Bersin, March 2026)

  • A new "Dynamic Enablement" model is making the rounds, reframing L&D's job as delivering capability to employees in days, not months — continuous, embedded, and measured by behavior change rather than course completions.

  • Shadow AI is the elephant in the room. New research from Cornerstone found ~80% of workers already use AI — but most don't disclose it to managers or colleagues. People are learning to use AI privately, with no guardrails, feedback loops, or shared playbooks. (Cornerstone)

2. Why it matters

The two stories are the same story. As work moves to AI, the most important learning is happening off the books at people's desks, unsupervised, ungoverned, and invisible to L&D. That's exactly the gap "enablement" is supposed to close.

If 80% of your workforce is already teaching themselves AI in private, the traditional L&D response build a course, assign it, track completions is both too slow and aimed at the wrong target. The opportunity isn't another mandatory module. It's surfacing what your best people have already figured out and making it shareable.

4. On the radar

Watch the language shift. "Training" implies an event; "enablement" implies a continuous service. As that vocabulary spreads through job titles and budget lines this year, it's not just rebranding it's a real change in what leadership will expect L&D to deliver. Get ahead of the framing.

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The LearningOps Brief team

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