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Monday 1 June 2026

eLearning Industry's AI Prompt Guide

eLearning Industry released a guide, "30 AI Prompts For Remote Teams," offering practical AI prompts for L&D professionals to operationalize generative AI in remote and hybrid teams. Meanwhile, Chief Learning Officer highlighted "AI fluency" as a critical L&D capability, emphasizing "fusion skills" that combine human judgment with AI systems.

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Good morning. Welcome to your daily briefing on learning technology innovations. Today, Tuesday 2 June 2026, we’re diving into some fascinating developments in learning technology, with a particular focus on the ever-evolving role of AI in learning and development, corporate learning strategies, and e-learning practices. Over the past 24 hours, new insights have emerged that really speak to both the practical application and the strategic direction of AI in our field. It’s an exciting time, as we see the conversation shifting from abstract concepts to concrete, actionable strategies. Let's begin by looking at the practical side of AI in L&D. The eLearning Industry has just released an incredibly useful resource titled “30 AI Prompts For Remote Teams.” This isn't just another theoretical paper; it’s a ready-to-use catalog of prompts designed specifically for L&D professionals and team leaders. What makes this so significant is its focus on operationalizing generative AI for real-world applications. Think about onboarding new team members, crafting microlearning modules, facilitating coaching sessions, or enhancing collaboration within remote and hybrid teams. This guide helps us move beyond simply understanding what AI *can* do and into *how* we actually do it. This resource helps translate AI strategy directly into workflow patterns. It offers specific prompts for things like scenario design, providing feedback, and even structuring team rituals that can be quickly integrated into your existing Learning Management Systems or Learning Experience Platforms. For remote programs, this is a game-changer. It’s all about embedding AI into daily performance support and engagement, moving well beyond just using AI to churn out content. It's about making AI a seamless part of how teams learn and grow, day in and day out. But the eLearning Industry piece goes even further, highlighting a distinct angle: using AI prompts specifically to support hybrid work performance enablement. It details how AI can become an assistant in preparing for meetings, reflecting on sessions afterwards, and even in collaborative problem-solving. This isn't just learning *about* work; it's integrating learning directly *into* the remote workflow. Imagine having AI support to help team members get the most out of every interaction and project. The article also emphasizes something crucial: manager enablement. It provides prompts designed to help leaders facilitate better retrospectives, create more impactful feedback sessions, and guide development conversations, especially in distributed settings. This truly signals a growing trend. We’re seeing L&D departments working hand-in-hand with people operations teams to collaboratively design AI-assisted "learning in the flow of work" solutions for remote organizations. This integrated approach is powerful because it addresses the unique challenges of modern work environments head-on. Now, shifting gears from practical application to strategic direction, let’s discuss a significant piece from Chief Learning Officer. They’ve published a feature titled “From AI fatigue to AI fluency,” and this really positions "AI fluency" as the next critical capability for L&D professionals and organizations. The article argues that simply adopting AI tools isn't enough anymore. The focus needs to shift towards cultivating what they call "fusion skills." What are "fusion skills"? They are the combination of essential human qualities – things like human judgment, critical thinking, and ethical decision-making – integrated seamlessly with AI systems. It’s about building a partnership between human intellect and artificial intelligence, rather than seeing them as separate entities. This is a profound shift in thinking. The feature identifies L&D as the primary function within an organization responsible for designing these "AI fluency" learning journeys. Our role is to create pathways that aim to reduce the common feeling of overwhelm that often comes with new technology, and instead, emphasize the *responsible* and *strategic* use of AI. This isn't just about training people *on* AI; it's about training them to *think with* AI. This article provides a conceptual blueprint for AI capability frameworks, for developing curricula, and for designing leadership programs that will undoubtedly influence how corporate L&D structures AI upskilling initiatives for years to come. It’s a visionary piece. Within that same Chief Learning Officer article, a conceptual model is presented that introduces "human-AI skill fusion" as a core design principle for learning strategies. This model defines "fusion skills" as the central organizing concept for AI-enabled capability frameworks. Specifically, it refers to those skills where humans and AI systems collaborate to perform complex work. It’s not just about using AI for mundane tasks; it’s about leveraging AI to elevate human performance in intricate, high-value activities. This model encourages L&D leaders to rethink and redesign their curricula. It advocates moving away from simple "how-to-use-Tool-X" training, which, let's be honest, can quickly become outdated. Instead, it pushes for scenario-based experiences. These experiences are designed to exercise human judgment, sense-making, and ethical reasoning, all with AI embedded directly "in the loop." This means learners are not just practicing with AI; they are practicing *alongside* AI, making decisions where AI provides insights and support. This approach is expected to significantly influence how we write learning strategy documents, how we define competency models, and even the messaging we hear from vendors across the corporate training and HR technology sectors. So, when we look at these developments collectively, we can see a clear trend. AI in L&D is maturing rapidly. We're moving from a phase of exploration to one of integration and strategic partnership. This means more practical tools for immediate application, and a clearer strategic vision for developing the human capabilities that will truly unlock AI's potential within our organizations. It's an exciting time to be in learning and development, as we are at the forefront of shaping how people and technology collaborate for a more effective and intelligent future. Thank you for joining me this morning.