Ai Experience [in english]

What does “AI-first” actually mean when most employees barely use the tools they’ve been given?In this episode of AI Experience, Julien Redelsperger welcomes Chris Dyer, keynote speaker, culture expert, and AI executive focused on helping organizations adopt AI effectively. You’ll discover why handing employees an AI license is not an adoption strategy, why companies often focus on technology before understanding what people actually need, and why resistance can simply mean that AI has become one more task on an already overloaded workload. AI Experience.If your organization says it is AI-first, this conversation may make you question what that claim really means.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode of the AI Experience Book Club, Julien Redelsperger looks at AI-Powered Leadership, by Dave Silberman, Rich Maltzman, Loredana Abramo, and Vijay Kanabar, published in March 2025 by Addison-Wesley Professional. The book explores how artificial intelligence is changing the role of leaders and managers as it becomes more involved in analysis, recommendations, and decision-making. It argues for an approach in which human capabilities and AI complement each other, with particular attention to judgment, critical thinking, data quality, and bias. In this episode, you’ll discover why an AI-generated analysis can be accurate without necessarily leading to a good decision, how to use AI to challenge your own assumptions, and why human accountability remains essential as these systems become more capable. The episode also looks at some of the book’s limitations: what should you do when your experience conflicts with the algorithm? How should responsibility be divided between humans and machines? And what happens to productivity gains when AI becomes fully integrated into everyday work?Hosted on Ausha. See ausha.co/privacy-policy for more information.

If AI can research the law in minutes, draft legal analysis, and cost a fraction of a lawyer’s hourly rate, what are you really paying a lawyer for?In this episode of AI Experience, Julien Redelsperger welcomes Damien Riehl, a lawyer, technologist, and software developer working at the intersection of law and artificial intelligence. You’ll hear how AI is changing legal research, challenging the billable-hour model, and allowing clients to handle more legal work on their own. Damien explains why a task that once took 12 hours can now take minutes, and why law firms may need to rethink how they price their services and demonstrate their value. The conversation also explores AI hallucinations, data privacy, the future of junior lawyers, and what happens when AI becomes more reliable than the humans using it.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode of AI Experience, we look back at five articles that each shed light, in their own way, on the growing presence of artificial intelligence in our lives. Can trusting ChatGPT too much send you to the ICU?What happens when a child gets attached to a robot and the company keeping it alive shuts down?How can universities choose students when they no longer know who actually wrote the application? Should your boss be able to turn your Slack conversations into fuel for AI agents?Is LinkedIn becoming impossible to read because of AI-generated content?These questions reveal how far AI reaches beyond labs and tech companies: it now shapes our choices, our leisure, our purchases, and even our most intimate spaces.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode of the AI Experience Book Club, Jessica looks at Supremacy: AI, ChatGPT, and the Race that Will Change the World, by Parmy Olson, published in September 2024 by St. Martin’s Press. The book tells the story of the race toward artificial general intelligence through two central figures: Sam Altman, associated with OpenAI, and Demis Hassabis, founder of DeepMind. But beyond the story of founders, models, and technical breakthroughs, Supremacy raises a deeper question: who really controls the future of AI? In this episode, we explore the original promise of AI as a technology meant to serve humanity, the growing dependence on Google and Microsoft, the central role of computing power, the tension between ethics and competition, and the risk that AI could deepen new divides in the workplace. An episode for anyone who wants to understand why AI is not just a technology to adopt, but an infrastructure of power we need to question.Hosted on Ausha. See ausha.co/privacy-policy for more information.