Ai Experience [in english]

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?

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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.

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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.

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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.

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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.

• Why are banks starting to limit a technology that was supposed to cut costs?

• Do real estate agents now have a lying machine in their pocket?

• Why is Ford bringing back veteran engineers after betting on artificial intelligence?

• Hollywood has created a star who will never age, never go on strike, and never ask for a raise

• Artificial intelligence is turning every policyholder into a potential forger

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.

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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.

• What if the real problem with AI today is not that it is too powerful, but that we no longer know where to place it in our lives?

• What if AI does not just make us faster, but also makes us more likely to give up?

• Is podcasting turning into an AI-generated audio dump?

• Did your AI assistant just turn your confidential meeting into legal evidence?

• If a machine lies to avoid being replaced, is it still just a tool?

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.

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Can AI help you produce better music, or does it only make it easier to sound like everyone else?

In this episode of AI Experience, Julien Redelsperger welcomes John von Seggern, founder and CEO of Futureproof Music School, an AI-native online school for electronic music producers.

John explains what music production really means, how AI is entering the creative workflow, and why tools that can generate tracks, analyze mixes, or coach students still have clear limits. You’ll hear how AI can help beginners understand technical concepts faster, where it can support mixing and mastering, and why taste, authorship, and artistic intent remain difficult to automate.

The conversation also explores a bigger question for musicians, educators, and creators: if AI can do 80% of the work, what happens to the last 20% that still depends on human judgment?

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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.

• What if the meeting you hate is actually one of the things still protecting your job?

• What if Bollywood’s next competitor is not another studio, but a laptop in a village?

• What if AI was not only threatening jobs, but also accents, expressions, and entire ways of seeing the world?

• What if the Slack conversations of a closed company became the fuel for the next generation of AI?

• What if AI made you more productive, without increasing your salary?

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.

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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.

Why does the most powerful AI company suddenly look like it is running in every direction at once?

What if your next job was teaching an AI system how to replace you?

What if AI has already started changing your job… even before your company has an official plan for it?

What happens when suddenly everyone in a company can code?

Is AI becoming the final straw for some experienced workers?

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.

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What happens when AI starts deciding what “normal” English sounds like?

In this episode of AI Experience, Julien Redelsperger welcomes Bonnie Sherriff, educator, linguist, and linguistic accent advisor specializing in accent reduction and dialect change. You will discover how AI is reshaping the way people speak, learn languages, and hear voices online.

Bonnie explains why accent is deeply tied to identity, why today’s AI tools still struggle with nuance, and why human coaching remains difficult to replace. You will also learn how text-to-speech systems tend to favor broad, standardized accents, what this could mean for regional dialects, and whether AI is simply accelerating the natural evolution of language.

The conversation also explores the rise of AI-generated voices, the risks of voice cloning scams, the future of voice actors and audiobook narration, and the signals that can help you tell whether a voice is human or synthetic.

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