🔥 The Hot Take
The AI gold rush in L&D is maturing. We're past the hype, now facing real implementation challenges. Early adopters must share practical strategies – not just theoretical frameworks. The elephant in the room? Rising AI costs. We need to focus on ROI, proving AI's value beyond shiny new features. This means ruthlessly prioritizing use cases and focusing on measurable impact, or risk AI becoming another expensive fad.
This week, AI's growing influence in L&D moved beyond the theoretical. Practitioners are sharing implementation strategies while grappling with rising AI costs and the need to prove ROI. It's time to get practical about AI's place in your learning ecosystem.
The Conversation
Adina from Uber discusses the future of learning inside a major tech company.
Why it matters: Get a peek into how a leading tech firm is adapting its L&D strategy for the age of AI.
Samir Das from Meta speaks at the Corporate Learning & Development Summit about AI, learning transformation, and the future of corporate capability building.
Why it matters: Hear insights from a learning leader at Meta on navigating AI's impact on L&D.
Deep Reads
eLearning Industry outlines how to build an AI implementation strategy that aligns your company and drives business growth.
Why it matters: Learn how to deploy AI in L&D without alienating your team or compromising trust.
Ravinder Tulsiani argues that AI training should focus on developing human judgment, not just awareness.
Why it matters: Ensure your AI training goes beyond the basics and equips employees to make informed decisions in an AI-driven world.
Josh Bersin examines the likely rise in AI tool costs and its implications for enterprise adoption.
Why it matters: Prepare for potentially higher AI costs and adjust your L&D budget and strategy accordingly.
Tools & Tech
This guide explores how AI is transforming LMS platforms, enabling personalized learning, performance coaching, and content creation.
Why it matters: See how AI-powered LMS features can personalize learning at scale for employees, customers, and partners.
eWyse introduces Return on Expectations Alignment (REA), an AI system designed to align training investments with business outcomes.
Why it matters: Explore a new tool that aims to directly link training to measurable business results through AI.
Watch List
Devlin Peck breaks down why AI-powered simulations make the best instructional design portfolio projects in 2026.
Why it matters: Get ideas for showcasing your AI skills in your instructional design portfolio.
This video explains how AI is enabling personalized employee training by tailoring learning paths to individual needs.
Why it matters: See how companies are using AI to move beyond one-size-fits-all training.
AI's role in L&D is rapidly evolving. Stay ahead by focusing on practical implementation, ROI, and the crucial element of human judgment.
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