Why Most AI Training Fails at Work | Elise Masurel de Laval

Description

AI training usually fails for a simple reason: it is too generic. In this episode of Business AI Explained, I sit down with Elise Masurel de Laval, co-founder of Catalyst.ai Academy, to break down what makes AI training actually work inside companies. Elise and her team focus on practical AI training for non-technical roles, with a strong emphasis on role-based use cases and learning by doing rather than abstract demos. They discuss why AI adoption needs to be tied to real business workflows, why peer-led learning often beats formal training, and how companies should think about shadow AI, governance, and long-term capability building. They also explore why AI agents create excitement early on but often become difficult to maintain unless internal teams can truly own them. They cover: * Why most AI training programs fail * The case for role-specific AI enablement * Why peer practitioners are often the best teachers * How to build relevance through real company use cases * Why AI communities can outperform static courses * How to think about shadow AI without overreacting * Balancing experimentation with governance * The hidden maintenance cost of AI agents * Why practical adoption matters more than tool knowledge * How non-technical teams can build AI confidence quickly This episode is for founders, operators, enablement leaders, consultants, and anyone trying to move from AI awareness to real adoption across teams. About the guest Elise Masurel de Laval is co-founder of Catalyst.ai Academy. Catalyst describes its approach as practical AI training for non-tech roles, and the company’s about page highlights Elise’s background in marketing, digital, sales, innovation, and executive leadership in education. Where to find Elise: → LinkedIn: https://www.linkedin.com/in/elise-masurel-de-laval-2579b999/?skipRedirect=true → Company: https://catalystacademy.ai/ Work with Vlad: If you’re implementing AI in your operations and want hands-on help building real workflows: → https://www.elementsagents.com/ Subscribe / follow Vlad: → LinkedIn: https://www.linkedin.com/in/vladeziegler/ → AI with Vlad: https://www.youtube.com/@aiwithvlad

I just hosted the largest AI event in history. What I learned about AI adoption - Igor Pogany

Igor Pogany just hosted the largest AI event in history — 600,000+ people — and grew a 400K+ channel teaching mid-career professionals how to actually use AI. So I asked him the obvious question: what did running it all teach you about using AI? His answer isn't about prompts or the newest tool. It's about context: stop treating AI like a vending machine, start feeding it your context, and use it to amplify the expertise you already have instead of trying to reinvent yourself. Igor Pogany — founder of The AI Advantage and now partnered with Tony Robbins and Dean Graziosi — teaches mid-career professionals (average age 50+) how to master AI instead of fearing it. We get into the practical playbook: why you should amplify your existing expertise instead of reinventing yourself, how to give AI enough context that it stops people-pleasing and hands you opinions you can trust, the two-rule test for avoiding AI slop, how to grow an audience by matching your viewer's worldview, and the "company brain" he uses to run a 50-person media company on AI. In this episode: • Why you should amplify your existing expertise with AI instead of reinventing yourself • How to give AI enough context that it stops people-pleasing and tells you the truth • The two rules for avoiding AI slop (never go 0 to 1, always seed it) • How to grow an audience by matching your viewer's worldview — and what a thumbnail really is • Why social media is networking at scale — and how Igor ended up working with Tony Robbins & Dean Graziosi • The "company brain" and Alfredo Hub setup Igor uses to run a 50-person company on AI Chapters: 0:00 The world's largest AI event (intro) 2:50 Who Igor helps: mid-career pros vs AI anxiety 4:10 Amplify what you do — don't reinvent yourself 6:18 The fastest first win: photograph your fridge 7:41 Using AI for decisions you can trust 8:36 Context: how to stop AI people-pleasing 13:25 Creating content with AI — without the slop 15:17 The real skill: turning chaos into content 17:30 Match your audience's worldview 19:07 Grow an audience: networking at scale 23:26 Compacted knowledge = time travel 25:47 The Alfredo Hub: one place for every AI tool 29:23 Company brain: a shared source of truth Guest: Igor Pogany, Founder @ The AI Advantage. Igor Pogany is the founder of The AI Advantage, one of the most-watched practical-AI channels on YouTube (400K+ subscribers), and Head of AI Education for the AI Advantage program he runs with Tony Robbins and Dean Graziosi. He teaches professionals how to use AI to save time and amplify the expertise they already have. Connect with Igor: https://www.linkedin.com/in/igorpogany/ Connect with Vlad: • LinkedIn: https://www.linkedin.com/in/vladeziegler/ • YouTube: https://www.youtube.com/@aiwithvlad • Work with Vlad (Elements Agents): https://www.elementsagents.com/ • Come on the show: https://cal.com/vladimirelements/podcast-intro-call — Business AI Explained is a podcast for founders and GTM teams on how AI creates real business impact — real examples, real constraints, lessons from AI in production. Hosted by Vlad de Ziegler, founder of Elements Agents.

Yesterday26 min

Why Most AI Training Fails at Work | Elise Masurel de Laval

Description

Comments

1 month for 9 kr.

All episodes