Microsoft Adds Generative AI Coaching to Viva Learning

Good morning. It's Monday 22 June 2026, and a warm welcome to your weekly digest of what's new and noteworthy in the world of learning and development. Before we get into this week's news, a quick note. Based on listener feedback, Rod's Digest has moved from a daily briefing to a weekly one. From today, you'll receive a single, more in-depth episode every Monday morning covering the most important developments in learning and development, eLearning, and learning technology from the previous seven days. Thank you for the feedback that shaped this change — now, on with the news. Let's dive straight into the biggest topic circulating in our field right now: Artificial Intelligence in L&D. Microsoft has made some significant strides here, announcing a new Copilot-powered coaching feature within Viva Learning. This isn’t just a simple add-on; it's a feature that recommends content, generates learning paths, and even offers on-the-fly explanations directly within Teams. What this signifies is a much deeper embedment of AI-driven, just-in-time learning support right into employees' daily workflow. It truly accelerates that shift from separate, standalone LMS usage to learning-in-the-flow-of-work, and it could indeed reduce the reliance on separate Learning Experience Platform tooling. This isn't an isolated move, either. Across the broader EdTech landscape, we're seeing an unprecedented surge in AI integration. Leading EdTech AI vendors like Docebo, Cornerstone, Degreed, Learning Pool, Sana, 360Learning, and the LTG Group brands have all rolled out new AI features within their respective LMS, LXP, and authoring tools this past week. This collective movement points to a rapid maturation of AI integration across the core learning technology stack. It's all geared towards enhancing personalization, streamlining content creation, and boosting administrative efficiency for us, the L&D professionals. And it's not just the dedicated AI vendors. Major LMS and LXP platforms, including Workday Learning, SuccessFactors Learning, Cornerstone, Docebo, Moodle, Canvas, Blackboard, TalentLMS, SAP Litmos, and Absorb, have all updated their product release notes to proudly highlight new AI functionalities. This widespread adoption by these foundational learning platforms isn't just a trend; it's a clear signal of an industry-wide shift. AI features are rapidly becoming a standard expectation, rather than an optional add-on, for enterprise learning systems. Beyond dedicated learning platforms, even collaboration tools are getting an AI upgrade to support learning. Google Workspace and Zoom, for instance, have introduced new features leveraging AI to significantly improve virtual classrooms and blended learning environments. We're talking about things like automated transcription, summary generation, and intelligent moderation tools. By enhancing these essential collaboration and communication tools with AI, these platforms are making virtual learning more accessible, more efficient, and perhaps most importantly, more engaging for everyone involved. This directly addresses many of the common challenges we've all faced in blended and remote learning setups. Moving beyond AI, let's look at some developments in E-learning and Blended Learning Platforms. Coursera has just launched a new skills-based proficiency scoring model specifically for its enterprise learners. This system scores learners across various domains using assessment data and then maps those scores to role-based skill profiles for their enterprise clients. This is a big step in strengthening skills intelligence for corporate L&D teams, enabling more precise gap analysis and allowing for truly targeted learning interventions across large employee populations. Ultimately, it should significantly improve the efficacy of our upskilling and reskilling initiatives. Similarly, edX is expanding its institutional offerings with several new partnerships. These alliances are aimed squarely at expanding their corporate and institutional reach, focusing on professional development and academic credit programs for both businesses and universities. These partnerships are a strong indicator of a growing demand for flexible, high-quality online education solutions that exist outside of traditional consumer models, further blurring those lines between personal and professional learning pathways we've been observing for some time. Udemy Business is also making moves, with a new focus on custom content solutions. They've released a series of updates that really emphasize their capabilities for organizations to create and curate custom content pathways for their employees, all supported by new analytics features. This empowers corporate L&D departments to tailor learning experiences far more precisely to their unique organizational needs and specific skills gaps, fostering a more targeted and ultimately more impactful learning culture. And not to be left out, LinkedIn Learning has announced enhancements to its content curation engine. They are now leveraging more sophisticated AI to provide highly personalized learning path recommendations. These recommendations are based on a user's specific role, skills, and even their career aspirations. This development is crucial because it makes learning far more relevant and accessible to individual users, which we know can significantly increase engagement and completion rates within corporate learning programs. Now, let's shift our focus to broader Corporate Training and L&D trends. SAP SuccessFactors and Workday have both announced deeper integrations of advanced skills taxonomies within their learning modules. This allows for a much more granular tracking and development of employee capabilities. It enables organizations to move well beyond basic compliance training, providing a robust framework for strategic workforce planning and truly targeted talent development initiatives. Cornerstone OnDemand has also unveiled an upgraded analytics suite, specifically designed to give L&D leaders deeper insights into the actual impact of learning programs on business outcomes. This includes performance metrics and, critically, return on investment. This directly addresses the perennial challenge we all face in demonstrating learning's value, offering L&D professionals more compelling data to justify investments and optimize their strategies. Content providers are also pushing the boundaries. Skillsoft and Percipio have rolled out enhancements to their platforms, placing a strong emphasis on AI-driven personalization for content delivery. They are actively adapting learning experiences to individual learner preferences and their progress. This initiative aims to genuinely increase learner engagement and long-term knowledge retention by delivering content that is both highly relevant and presented in a format best suited to each individual user. And staying with content, OpenSesame has announced a significant expansion of its curated content library. They've specifically added new collections focused on emerging skills in areas like sustainable business, advanced analytics, and responsible AI. This is vital in helping organizations quickly address those critical skill gaps driven by market trends and rapid technological advancements, ultimately ensuring their workforce remains competitive and future-ready. Finally, in the realm of Research and Industry Bodies, there's some fascinating news out of a top research university, which has published a peer-reviewed paper. This study compared generative AI tutors with human teaching assistants for problem-solving support in an introductory programming course. The findings were quite surprising: they observed comparable learning outcomes in certain scenarios. This provides valuable empirical evidence on learning outcomes and student satisfaction, which can inform how AI tutors can safely and effectively scale in both higher education and corporate technical training environments. The Learning Guild has also weighed in, publishing a new white paper that outlines best practices and ethical considerations for the deployment of AI in corporate learning and development initiatives. This guidance is absolutely crucial for L&D professionals as we grapple with the ethical implications of AI, helping us to implement these powerful technologies responsibly while ensuring fairness, transparency, and data privacy. The Association for Talent Development, ATD, has released new findings from their research on the effectiveness of blended learning strategies adapted for hybrid work models. Their report highlights key success factors and common pitfalls. As hybrid work becomes the new norm, this research provides L&D leaders with actionable insights to design and implement effective blended learning programs that truly cater to dispersed teams and varied learning preferences. And for those of us focused on learning data, IMS Global, now known as 1EdTech, announced an update to the eXperience API, or xAPI, specification. This update focuses on enhancing capabilities for tracking learning experiences across diverse platforms and informal learning activities. This improved standard facilitates greater interoperability and data collection, allowing L&D teams to gain a much more holistic view of learner engagement and performance across increasingly complex learning ecosystems. Lastly, EdSurge published an interesting analysis of recent investment trends, indicating a significant increase in venture capital funding for AI-powered skills platforms and talent intelligence solutions. This financial activity signals a strong market belief in the future of AI-driven skills development, suggesting that L&D departments can anticipate a wave of innovative new tools and services in this area very soon. That brings us to the end of this week's digest. Thank you for joining me, and I look forward to bringing you the latest updates next Monday.