The L&D AI Paradox

"Executives are being told a simple story about AI in learning: "Give your people copilots, and they'll create training in a fraction of the time." Yet if you talk to L&D leaders on the ground, a different reality is emerging: yes, draft creation is faster—but inboxes are fuller, review queues are longer, and stakeholders now expect more content, customized for more audiences, updated more often. That tension is what I'll call the AI time-saving paradox."

"You can see this dynamic clearly in emerging enterprise AI platforms, which can build interactive learning assets (branching scenarios, simulations), run "mega tasks" across whole curricula, and update content at scale when policies or regulations change. On paper, this is a Chief Learning Officer's dream. But the same analysis also flags heightened risks: hallucinations, overconfidence, and a substantial quality-assurance burden as content volume explodes."

AI compresses the time needed to draft learning content while expanding the time required to govern, review, align, and decide. Enterprise AI platforms can rapidly produce interactive assets, run large tasks across curricula, and update content at scale when rules change. Faster drafting often yields greater volume, which increases review queues, stakeholder expectations for customized content, and quality-assurance workload. Organizations deploying L&D copilots face risks including hallucinations and overconfidence as content multiplies beyond existing systems and governance. Historical parallels exist with earlier productivity paradoxes where technology changed work patterns without immediately freeing managerial decision time.

Read at eLearning Industry