AI is certainly having its moment, but adoption remains a challenge. According to the Gallagher 2025 AI Adoption and Risk Survey, there’s been only a 10% increase in global AI adoption from 2024 to 2025. That’s telling. The reason? AI in L&D often sounds impressive, but lands abstract to many. Here are 3 use cases that we’ve seen of how AI can help drive impact in learning in pharma: 🔹 Personalized performance nudges 🔹 Searchable, intelligent microlearning assistants 🔹 Predictive insight tagging in training feedback These use cases don’t replace strategy or human insight. They just give teams better starting points and clearer feedback loops. More importantly, they shift the question from “Should we use AI?” to: “How might we use AI to reduce noise and sharpen performance?” That’s the conversation worth having. #PharmaLandD #AIinLearning #Metrix #FutureOfWork #NextGenLearning
