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Bots & Bosses (english)

by Dominic von Proeck · 151 episodes

BusinessEntrepreneurshipEducation

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10 humans. 50+ AI colleagues. A company that feels like science fiction – but it's just our Tuesday. In "Bots & Bosses" we share what we learn at Leaders of AI every single day: Which AI assistants shine, which ones mess up spectacularly, and why Jürgen – our AI team lead – still got promoted. Twice a week. Five minutes. Zero bullshit. This podcast is 100% AI-generated. No microphone was used in its creation. We deliberately left in all the mistakes the AI makes – because we want to show you where the real limits are. That said, we think the result is pretty damn impressive! -- Learn mor...

Latest episodes

  1. Even More New AI Agents? Who’s Supposed to Keep Up with All This ...

    AI FOMO is real. Especially right now, when it feels like new always-on assistants are launching every week. In this episode, we break down: - why new AI assistants are not automat…

    5 min
  2. Insights from Silicon Valley: Is Europe Really Falling Behind in AI?

    Sources Dominic’s conversations with a private equity firm, the service company of a major AI lab, and a startup from Y Combinator (anonymized background conversations, no public l…

    5 min
  3. Jev Shows Where AI in Companies Is Really Heading

    Summary: Jev is not a topic just because it is loud right now. For us, it is an early indicator. In this episode, we explain why new AI names only become relevant when they truly c…

    5 min
  4. Fluid Teams: Why We No Longer Have to Choose Between Agents and an Operating System

    Agents or operating system? For three episodes, we explored this question. In the grand finale of our series, we resolve it and present a third approach: Fluid Teams. In this episo…

    5 min
  5. Your AI operating system can do anything. Your team still doesn’t use it.

    An AI system that can do everything, knows everything, and connects all departments. Sounds perfect. We tested it for six months in parallel with our 53 AI assistants. The result s…

    5 min
  6. The most surprising benefit of AI agents? Humanity.

    AI agents are a turbo boost in companies mainly because they make trust, roles, and responsibilities visible—not because of some technical trick. In this episode, you’ll learn why…

    6 min
  7. Europe 2031 Review: Europe’s AI future will be decided in how it is used

    In this episode, it’s about a simple but crucial idea: Europe’s AI future will not be decided by models, but by execution, enablement, and how organizations apply AI. You’ll learn:…

    4 min
  8. Dominic’s Digital Twin

    In this episode, it’s about Dominic’s digital twin and the question of why a twin is not a replacement for leadership, but a tool to make leadership logic available in hybrid organ…

    4 min
  9. From Homo Sapiens to Homo Agenticus

    In this episode, it’s about the AI paradox: why strategically outsourcing routine work to AI does not automatically make us more superficial, but—at best—can help us reflect better…

    5 min
  10. How self-learning AI is shaping our marketing

    In this episode, it’s about how self-learning AI is shaping our marketing – and why this creates a new leadership task. You’ll learn: - why our LinkedIn performance suddenly droppe…

    4 min
  11. What 81,000 people want from AI

    In this episode, it’s about a surprisingly simple insight from 81,000 interviews: people mainly want AI when it saves time, helps them do better work, and speeds up learning. You’l…

    4 min
  12. Why everyone is talking about Claude

    In this episode, it’s all about the Claude hype—and the strategically more important question behind it: What does Claude show us about the next level of maturity for AI in everyda…

    5 min
  13. Five major AI insights from OMR 2026

    In this episode, it’s about the five most important AI insights from OMR 2026: 1. Agentic AI is here. AI is moving from a tool to a co-worker. 2. AI is changing search — and with i…

    6 min
  14. AI is a stress test

    In this episode, we talk about **three things** that belong together: - Why AI is not a technology project, but a stress test for the organization - Why, according to PwC, 74 perce…

    5 min
  15. Scaling AI without tool chaos: Think in roles

    Many AI initiatives fail not because of models or licenses, but because key roles are missing in the organization. In this episode, we talk about why AI assistants are really organ…

    5 min
  16. Singapore is doing everything right. And still, transformation is stalling.

    Singapore is seen as a showcase country for AI: sixty seconds to enter the country with facial recognition, government support of up to two thousand dollars per citizen. Dominic wa…

    4 min
  17. Your AI assistant now has its own team

    Langdock has launched sub-agents, GPT-5.4 now delegates internally to smaller models, and you can get whole AI marketing teams for $99 a month. In this episode, we show why this is…

    5 min
  18. Laying off people because of AI? That’s the most expensive strategy.

    Why AI-driven layoffs often lead into an expensive cycle (cut jobs → quality problems → buy back at high cost), why demographics are turning the calculation upside down in Germany,…

    6 min
  19. AI fluency means: check, don’t believe

    **In this episode:** - Why AI fluency starts with review - What the Anthropic AI Fluency Index shows about iteration and review behavior - A 3-checkpoint system for teams: sources,…

    6 min
  20. Why we failed despite €1 Million revenue per person

    Over €1M in revenue per person — and still we were close to driving our “growth only with AI” experiment straight into a wall. This episode is about the uncomfortable truth: AI is…

    6 min
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