ATD partners with Josh Cavalier to offer AI certificate course for L&D pros

How Gen AI Could Transform Learning and Development by Sagar Goel, Shubhankar Sohoni and Lisa Krayer September 23, 2025  The integration of generative AI into corporate workflows is highlighting the critical importance of human skills such as problem framing, collaboration, and creativity. A recent experiment by the BCG Henderson Institute demonstrated that gen AI-powered tutoring can effectively enhance these skills, offering personalized and engaging training at scale. As companies invest in gen AI, they must also focus on developing their employees’ human skills to fully leverage the technology’s potential—and ironically, the technology can help drive that process. Companies investing millions in generative AI may soon find themselves stalled—not by the technology’s limits, but by their people’s. As generative AI becomes more ubiquitous, a paradox has emerged: The more deeply we integrate the technology into our workflows, the more indispensable human skills become. These “soft” skills—like problem framing, collaboration, and creativity—encompass the uniquely human abilities and behaviors that will enable people to make the most working alongside gen AI. Unfortunately, many companies are confronting a human skills gap. For example, a 2024 study by the Society for Human Resource Management found that less than one-third of employers believe recent graduates are equipped with the critical thinking skills they’ll need in the workplace. The solution seems simple: We’ll just teach them. But today’s traditional training methods won’t be enough. To start, only about 35% of employers provide human skills development opportunities to their employees, often because of a lack of trainers or appropriate training programs. And even those that do offer programs tend to fall short—they are too generic or too disconnected from day-to-day work and, most importantly, lack reach across all the employee base. But what if each employee had a personal coach who understood their role, the challenges they face in driving high performance, and their unique learning needs—and was available on-demand at fraction of what companies spend on learning and development (L&D) today? This is where gen AI becomes an enabler, by providing personalized human skills training at scale. Evidence from a recent experiment by the BCG Henderson Institute suggests that gen AI-powered tutoring can be as effective—and more engaging—than traditional interventions to build human skills, such as classroom training. https://lnkd.in/g8naB3Zu

🚀 Empowering teams through hands-on AI training! Recently, I had the privilege of conducting a RAG (Retrieval-Augmented Generation) Patterns Training session at Tata Technologies. It was an engaging experience where we explored how enterprises can leverage RAG to build smarter, more reliable AI solutions. To make the feedback transparent and measurable, I built a Streamlit-powered dashboard 📊 and compiled the insights into a PDF report. The response was overwhelmingly positive — with participants rating the content, delivery, and real-world applicability highly. 💡 What I loved most: Designing content that balances concepts + practical demos Addressing real-world challenges with examples from industry projects Seeing participants walk away with immediately usable skills 👉 If your organization is looking to: Upskill teams on Generative AI, RAG, and LLM-driven applications Conduct hands-on workshops with practical takeaways Gain customized training programs aligned with business use cases …I’d be happy to collaborate! 📩 Feel free to connect or drop me a message to discuss how I can bring similar value to your team. #GenerativeAI #RAG #LLM #AItraining #KnowledgeSharing #TataTechnologies #ML #AI #Learning

Is your LMS working hard—or just taking up space? #TotaraAI turns learning platforms into strategic tools. Automate quizzes, generate content, and guide learners with AI-driven recommendations. Free your team from admin and focus on pathways that truly impact skills and performance.

AI in L&D : Beyond Buzzwords. Artificial Intelligence is no longer just a buzzword in Learning & Development, it is indeed a transformative tool. When used with purpose, AI can personalize learning journeys, identify skill gaps, and offer real-time feedback to drive meaningful progress. It empowers educators and administrators to shift from generic training models to precision-driven development strategies. Platforms like iMocha, a leading Skill Intelligence solution, exemplify this shift by offering deep insights into workforce capabilities and aligning learning with future-ready roles. AI doesn’t replace the human touch, it enhances it. Educators and mentors remain central to shaping values, guiding reflection, and building emotional intelligence. With AI handling data and delivery, teachers can focus on what matters most, inspiring growth, building capacity, and nurturing leadership. To truly go beyond buzzwords, we must lead with clarity and care. Integrating AI into L&D requires thoughtful design, ethical use, and inclusive intent. Let’s build systems that are not just smart, but wise. Systems that uplift every learner, empower every educator, and reflect the values we stand for.

The rise of generative AI is transforming how we design and deliver learning experiences. From drafting course outlines and generating videos to summarising subject matter interviews and analysing learning data, AI can free up trainers to focus on strategy and mentorship. As AI becomes our creative partner, talent development professionals can reimagine their role as curators of personalised, adaptive learning that meets learners where they are. Are we ready to embrace AI not just as a tool but as a co­c­c¬reator in the learning process?

I spent some time with this HBR article the other day and wanted to share it here to explore what it means for those of us working as human development professionals. The article presents research from BCG showing that gen AI tutors can be as effective as classroom training for building certain "human skills." The authors conclude: "To realize the promise of gen AI, companies must invest not just in tools—but in the people who will use them. Ironically, the best way to teach the most human of skills may come from machines themselves." Here's what strikes me as we consider how to use this information in our practice: 1. The Transfer Problem: The study focused on "problem framing" - a cognitive skill - and showed gen AI tutors performed well. But the article itself acknowledges that learners prefer human tutors for "learning teaming and collaboration skills in peer group settings." So where's the boundary? Which human skills can AI teach effectively, and which require human practice partners? How do we design learning experiences that leverage both? 2. Comfort vs. Growth: The research positions "practice without judgement" as a key benefit of AI tutors. But we know from research that real growth requires productive discomfort. Are we inadvertently designing learning experiences that help people avoid the very discomfort that catalyzes transformation? How do we balance psychological safety with the necessary stretch? 3. Beyond Cognitive Intelligence: Gen AI clearly excels at building cognitive understanding. But can it develop the other intelligences? Or does our role as coaches, learning designers and facilitators become even more critical to bridge the gap between knowing and being, between competency and embodied capacity? As human development professionals, how might we use gen AI as one tool in our approach while ensuring we're still developing the full spectrum of intelligence? And perhaps more importantly: How do we help leaders and organizations understand the distinction between learning concepts and embodying transformation, so they recognize where AI ends and where human facilitation becomes essential? I'd love to hear your thoughts. I'm also curious about how you're using AI in your practice, whether that's behind the scenes for session design and follow-up, or directly with clients as part of their development journey. What are you learning? https://lnkd.in/gycdCpQf

What is the proper role for AI in learning? When I posted about my new role at Evolve last week, several friends and former colleagues—true L&D experts—reached out, skeptical about using AI in L&D. I get it—AI is not perfect. It doesn’t “get” humans like human do. But here’s the thing: AI won’t replace L&D teams—it will augment them. They’ll be faster, more dynamic, and more responsive to learners’ needs. And in today’s world, that’s exactly what learners want. Here are a few ways AI can transform learning when done right: 🎯 Individualized learning. By using AI-native platforms, L&D teams can deliver trainings that target each learner’s individual weaknesses—and courses can even adjust themselves in realtime. ⏱️ Faster course deployment. AI-enabled instructional designers can deploy their content and frameworks in days (not weeks or months)—right when the need arises. This means faster learning, higher performing teams, and better economics. 🧠 Better learning retention. Without reinforcement, learners forget up to 70% of what they learned in the first 24 hours (Forgetting Curve). AI helps here: ✍️ Open-ended question grading. AI can grade open-ended questions at scale and provide real-time feedback—allowing learners to reinforce learning and demonstrate true content mastery. 🎮 Simulations. Interactive case study simulations provide relevant practice to increase retention by 60%, and boost confidence and on-the-job performance. These three use cases—individualized training, faster course deployment, and better learning retention—just scratch the surface of where we’re headed with AI-enabled learning. At Evolve, we’re doing all of this and so much more. What’s your take? #HRTech #LnD #simulations #AI

Most edtech companies are using AI completely wrong, focusing on flashy features instead of these 3 core learning principles. After managing multiple platform initiatives, I've watched countless organizations chase the AI hype train without understanding what actually drives learning outcomes. They're building chatbots that sound impressive in demos but miss the fundamental ways humans actually absorb and retain knowledge. Here's what I've learned at #Extramarks from the trenches: **Principle 1: Adaptive Pathways Over Generic Responses** Real AI in education doesn't just answer questions - it maps individual learning journeys. When I was implementing our latest platform initiative, we discovered that learners needed different entry points, not just different answers. The AI should recognize when someone's struggling with foundational concepts versus advanced applications, then adjust the entire learning sequence accordingly. **Principle 2: Context-Aware Feedback Loops** Generic AI feedback is noise. Effective AI understands the learner's role, industry, and immediate challenges. As a Program Manager working across diverse teams, I see how the same concept needs different framing for different audiences. The AI should know whether it's talking to a new graduate or a seasoned professional transitioning roles. **Principle 3: Collaborative Intelligence, Not Replacement** The best AI-powered platforms I've managed don't replace human interaction - they amplify it. They identify when peer collaboration would be more valuable than AI assistance, when a mentor's input is crucial, or when hands-on practice trumps theoretical explanation. What's your experience with AI in learning platforms? Are you seeing genuine transformation or just expensive automation? #EdTech #AI #LearningAndDevelopment #ProgramManagement #extramarks

360Learning has launched an AI Companion to enhance Learning & Development (L&D) with an intelligent learning partner. The AI Companion is designed to support learning journeys, improve productivity, and aid skills development by offering features like Search mode for content discovery and future modes for data insights and coaching. The launch follows 360Learning's recognition as the top AI-powered learning management system and a grant from the French Government to support AI and skills-based learning. Benjamin Marchal, CEO at 360Learning, said AI is changing workplace learning and emphasized the company's investment in AI tools to boost productivity and collaborative learning. Read more: https://lnkd.in/e8tgFwEh 📰 Subscribe to the weekly AI in Education Newsletter: https://lnkd.in/ejeBFceQ #ai #artificialintelligence #ainews #edtech

At Vision 2025, Degreed unveiled next-gen AI learning tools—adaptive, contextual, and measurable innovations for workforce transformation. Read the Latest Full News - https://lnkd.in/duZDJ6yj #HRTechEdge #Hrtech #Degreed #AI #AdaptiveLearning #LXP #WorkforceTransformation #LearningTechnology #SkillsDevelopment #EdTech #Upskilling #FutureOfWork