{"id":87716,"date":"2025-12-22T09:15:00","date_gmt":"2025-12-22T09:15:00","guid":{"rendered":"https:\/\/degreed.com\/experience\/?p=87716"},"modified":"2025-12-24T07:18:38","modified_gmt":"2025-12-24T07:18:38","slug":"ai-learning-revolution-is-here-most-companies-arent-ready","status":"publish","type":"post","link":"https:\/\/degreed.com\/experience\/blog\/ai-learning-revolution-is-here-most-companies-arent-ready\/","title":{"rendered":"The AI Learning Revolution Is Already Here. Most Companies Aren\u2019t Ready."},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-the-ai-powered-revolution-in-learning-talent-development-5-key-webinar-takeaways\"><a href=\"https:\/\/get.degreed.com\/ai-learning-revolution\" target=\"_blank\" rel=\"noreferrer noopener\">The AI-Powered Revolution in Learning + Talent Development<\/a>: 5 Key Webinar Takeaways<\/h2>\n\n\n\n<p>The talk about AI isn\u2019t just hype. The learning and talent landscape is undergoing its most significant transformation in decades, and the shift is happening faster than anyone expected. That urgency set the tone for <a href=\"https:\/\/get.degreed.com\/ai-learning-revolution\" target=\"_blank\" rel=\"noreferrer noopener\"><em>The AI-Powered Revolution in Learning and Talent Development<\/em><\/a>, the first webinar in Degreed\u2019s three-part series exploring how AI is reshaping the way organizations build skills, empower their people, and plan for the future.<\/p>\n\n\n\n<p>The conversation brought together two of the most influential voices in the industry: Josh Bersin, global analyst and CEO of The Josh Bersin Company, and Heather Stefanski, Chief Learning and Development Officer at McKinsey. Nikki Helmer, Chief Product Officer at Degreed, led the conversation, which unpacked what AI is enabling today, how learning leaders are responding, and what it will take to build a resilient, future-ready workforce in 2026.<\/p>\n\n\n\n<p>The brightest minds in learning and talent aren\u2019t just talking about adding a chatbot to your LMS. They are sounding the alarm for how radically the ground is shifting under HR, L&D, and every company trying to build a future-proof workforce.<\/p>\n\n\n\n<p>Here\u2019s the punchline: <strong>AI isn\u2019t enhancing learning. It\u2019s rewriting the rules of how organizations build capability.<\/strong> If businesses don\u2019t get ahead of it now, 2026 is going to hit hard.<\/p>\n\n\n\n<p>Below are the 5 biggest takeaways from the conversation, and what they mean for your 2026 planning cycles.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-takeaway-1-learning-is-shifting-from-a-publishing-model-to-a-dynamic-content-system\">Takeaway #1: Learning is shifting from a publishing model to a dynamic content system.<\/h2>\n\n\n\n<p>For years, learning strategies focused on what Josh Bersin calls the publishing model. Learning teams operated like content publishers, producing, tagging, and distributing courses. Success was measured by participation: attendance, completions, and clicks.<\/p>\n\n\n\n<p>But AI is forcing a new paradigm.<\/p>\n\n\n\n<p>\u201cI\u2019m talking about a new revolutionary approach where you use a dynamic content system as your core learning experience,\u201d said Bersin.<\/p>\n\n\n\n<p>AI allows organizations to go far beyond simply creating more courses. Instead, it enables learning teams to map, measure, and accelerate skill development adaptively, based on real workforce and organizational needs. In that system, success is no longer measured by how much employees learn, but by whether they can actually perform new tasks and acquire new capabilities faster.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implications-for-2026-planning\">Implications for 2026 planning<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learning organizations must prioritize capability building over course catalog expansion.<\/li>\n\n\n\n<li>AI-powered tools will increasingly automate low-value tasks (tagging, search, basic content creation), freeing L&D teams to focus on strategic design.<\/li>\n\n\n\n<li>Skill data becomes the foundation for workforce strategy.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-takeaway-2-ai-is-creating-a-new-operating-system-for-talent\">Takeaway #2: AI is creating a new operating system for talent.<\/h2>\n\n\n\n<p>The webinar discussion underscored an essential truth: Organizations are only beginning to grasp the scale of change AI brings.<\/p>\n\n\n\n<p>Bersin pointed out that AI is collapsing traditional L&D and HR workflows\u2014content creation, skill identification, job architecture, and even coaching\u2014into fluid, adaptive systems. AI is redefining how companies understand talent. Once-linear processes are fundamentally changing, including job descriptions, roles, career ladders, and competencies. This demands a major shift in how we think about \u201clearning\u201d in the context of work, and how that function integrates with talent mobility, performance, and business strategy.<\/p>\n\n\n\n<p>AI is making everything <em>dynamic<\/em>: work, skills, teams, and learning itself.&nbsp;<\/p>\n\n\n\n<p>Bersin put it plainly: \u201cAI alters how we define work, build teams, and plan talent pipelines.\u201d<\/p>\n\n\n\n<p>This isn\u2019t simply tool adoption. It\u2019s a restructuring of talent systems.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implications-for-2026-planning-0\">Implications for 2026 planning<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Talent and learning strategies must break down siloes and work as a unit.<\/li>\n\n\n\n<li>Organizations need robust governance around AI adoption, especially ensuring accuracy, fairness, and transparency.<\/li>\n\n\n\n<li>Expect AI to become a standard layer embedded throughout or foundational to learning platforms, much like mobile and cloud did in prior transformations.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-takeaway-3-l-amp-d-needs-to-move-out-of-learning-and-into-designing-ways-of-working\">Takeaway #3. L&D needs to move out of learning and into designing ways of working.<\/h2>\n\n\n\n<p>Stefanski delivered what might be the most transformative challenge to learning leaders: L&D must stop defining itself by the content it produces and instead reposition itself as a strategic architect of development and career acceleration.&nbsp;<\/p>\n\n\n\n<p>Stefanski argued that the traditional identity of learning teams is holding companies back. Instead of building courses, L&D teams should be designing ways of working, shaping talent experiences, and influencing the workflows employees use every day.<\/p>\n\n\n\n<p>According to Stefanski, one of the biggest shifts required is for learning teams to get out of learning, strictly speaking. \u201cIf we actually think about the work we need to do, we need to be a part of designing the work, and designing the technology,\u201d she said.<\/p>\n\n\n\n<p>This is not semantics. It is a structural redefinition of purpose. McKinsey now refers to L&D as a \u201cdevelopment organization,\u201d a team whose mandate is to accelerate careers, increase performance, and shape how work gets done.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implications-for-2026-planning-1\">Implications for 2026 planning<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>L&D teams must redefine their identity around performance, career mobility, and ways of working.<\/li>\n\n\n\n<li>Content creation should no longer be the primary output of the function.<\/li>\n\n\n\n<li>The role of L&D becomes about orchestrating development experiences, not owning all learning assets.<\/li>\n\n\n\n<li>The question for leaders shifts from \u201cWhat training do we build?\u201d to \u201cHow do we redesign work so people learn as they do it?\u201d<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-takeaway-4-use-nbsp-ai-embedded-tools-to-make-learning-integral-to-working\">Takeaway #4. Use&nbsp; AI-embedded tools to make learning integral to working.<\/h2>\n\n\n\n<p>One of Stefanski\u2019s most provocative claims was that L&D should be spending 70% of its time inside the workflow, where real performance happens, not inside course development cycles. This reframes what \u201clearning technology\u201d actually means. It\u2019s no longer about building modules or even recommending content. It\u2019s about embedding tools that enable skill-building inside the flow of everyday tasks, where employees feel the impact instantly.<\/p>\n\n\n\n<p>To illustrate, she shared McKinsey\u2019s \u201cLilly\u201d initiative, an AI-powered storytelling coach embedded directly into PowerPoint. As consultants create client slides, Lilly guides them through narrative structure, clarity, and persuasion\u2014<em>in real time, inside the actual tools they already use<\/em>.<\/p>\n\n\n\n<p>The result of this integration of learning into work will be the ability to accelerate the time to proficiency of strategic skills, providing tremendous value for the organization. Stefanski argues for identifying use cases and establishing metrics that prove faster time to proficiency, which she sees as the ultimate metric for L&D and one that proves real business value.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implications-for-2026-planning-2\">Implications for 2026 planning<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prioritize AI-driven agents and workflow-integrated tools for performance acceleration.<\/li>\n\n\n\n<li>Partner closely with product, engineering, and operations teams to design learning into work.<\/li>\n\n\n\n<li>Adopt time-to-proficiency as the ultimate metric, instead of completions or satisfaction scores.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-takeaway-5-the-future-of-learning-isn-t-ai-enabled-it-s-an-ai-native-development-ecosystem\">Takeaway #5. The future of learning isn\u2019t AI-enabled. It\u2019s an AI-native development ecosystem.<\/h2>\n\n\n\n<p>Throughout the webinar, one theme crystallized: AI isn\u2019t just transforming learning technology; it is also transforming what we expect learning to be. The organizations that thrive in the next era will be those that embrace a fundamentally different vision of L&D\u2019s purpose.&nbsp;<\/p>\n\n\n\n<p>In this new era, learning ecosystems will no longer act as course libraries supported by AI. Instead, they will become AI-native development ecosystems, built around skills, workflows, and human connection.<\/p>\n\n\n\n<p>In an AI-native ecosystem:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Skill-building happens in the tools employees use every day, through AI agents that coach, prompt, and accelerate proficiency exactly when needed.<\/li>\n\n\n\n<li>Learning is delivered through intelligent, embedded performance support, wherein AI surfaces guidance, feedback, and practice exactly at the moment of need.<\/li>\n\n\n\n<li>Digital pathways become fully personalized by AI, rather than manually curated content sequences.<\/li>\n<\/ul>\n\n\n\n<p>This is not a subtle shift. It requires rethinking what learning is, where it lives, and who drives it.<\/p>\n\n\n\n<p>And it demands that organizations be bold enough to let go of the old model, centered on courses, content ownership, and learning \u201cevents\u201d that take place independent from daily work. It is imperative that they move toward a system where development is woven into the fabric of work itself.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-implications-for-2026-planning-3\">Implications for 2026 planning<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Focus on how to reshape workflows, roles, and development with AI, and not how to retrofit legacy systems and processes.<\/li>\n\n\n\n<li>Redirect spend from content creation tools to technologies like AI agents, workflow coaches, and embedded performance tools that bring learning into the flow of work.<\/li>\n\n\n\n<li>Elevate L&D\u2019s role in enterprise transformation to become a strategic driver of capability and performance.<\/li>\n\n\n\n<li>Plan for the cultural impact of AI, not just its technical implementation. Leaders will need new coaching skills, teams will need support navigating change, and employees will need clarity about how AI supports (not replaces) their growth.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-looking-ahead-what-does-this-mean-for-2026-and-beyond\">Looking ahead: What does this mean for 2026 and beyond?<\/h2>\n\n\n\n<p>The insights shared by Helmer, Bersin, and Stefanski suggest that 2026 won\u2019t be defined by incremental updates or new learning technologies. It will be defined by organizations\u2019 willingness to redesign learning around development, work, and culture, rather than content.<\/p>\n\n\n\n<p>If you\u2019re planning your 2026 learning and talent strategy, here\u2019s what you need to put at the top of your list:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-1-redefine-l-amp-d-as-a-development-organization\">1. Redefine L&D as a \u201cDevelopment Organization.\u201d<\/h3>\n\n\n\n<p>Shift the mandate from informing employees to accelerating their careers. Replace \u201cWhat learning should we build?\u201d with: \u201cHow do we design work, tools, and experiences that make people better faster?\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-2-invest-in-workflow-learning-instead-of-more-courses\">2. Invest in workflow learning, instead of more courses.<\/h3>\n\n\n\n<p>Prioritize AI tools that embed coaching, feedback, and guidance into the workflows where performance happens. This is where 70% of future learning impact will be created.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-3-build-adaptable-workforce-and-talent-models\">3. Build adaptable workforce and talent models.<\/h3>\n\n\n\n<p>Static roles and lengthy career pathways are giving way to skills-based mobility and fluid team structures.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-4-let-ai-personalize-and-automate-digital-learning\">4. Let AI personalize and automate digital learning.<\/h3>\n\n\n\n<p>Reserve manual course creation for true regulatory or compliance needs. Let AI generate personalized learning paths and adaptive practice, freeing L&D teams to focus on the strategic work only humans can do.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-5-adopt-proficiency-as-the-north-star-metric\">5. Adopt proficiency as the north-star metric.<\/h3>\n\n\n\n<p>Move beyond completions, attendance, and satisfaction. The key question now is: \u201cHow fast can our people become great at the work that matters?\u201d This shift aligns learning impact directly with business performance, and it\u2019s where there\u2019s the greatest opportunity to utilize AI-embedded tools.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-learn-more-about-the-ai-revolution-in-learning\">Learn more about the AI Revolution in Learning<\/h2>\n\n\n\n<p>2026 will be the year organizations stop designing learning systems and start designing development ecosystems, embedding learning into work, balancing AI-driven personalization with high-impact human experiences, and redefining L&D as a strategic partner.&nbsp;<\/p>\n\n\n\n<p>Learning technology will no longer be something people go to, but something they experience every day. The conversation with Nikki Helmer, Josh Bersin, and Heather Stefanski is part of a much larger, ongoing dialogue about how AI will shape the future of work.&nbsp;<\/p>\n\n\n\n<p>If your organization is preparing its 2026 strategy, now is the moment to reimagine what learning can be, and how AI can bring that vision to life. Watch <a href=\"https:\/\/get.degreed.com\/ai-learning-revolution\" target=\"_blank\" rel=\"noreferrer noopener\">The AI-Powered Revolution in Learning + Talent Development<\/a> and the other two webinars in the series on demand to learn how.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI-Powered Revolution in Learning + Talent Development: 5 Key Webinar Takeaways The talk about AI isn\u2019t just hype. The learning and talent landscape is undergoing its most significant transformation in decades, and the shift is happening faster than anyone expected. That urgency set the tone for The AI-Powered Revolution in Learning and Talent Development, [&hellip;]<\/p>\n","protected":false},"author":141,"featured_media":87717,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[579],"tags":[551,551],"post_folder":[],"class_list":["post-87716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learning-development-strategy","tag-learning-strategy"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The AI Learning Revolution Is Here. Most Companies Aren\u2019t Ready.<\/title>\n<meta name=\"description\" content=\"AI learning is revolutionizing the L&amp;D function. 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