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Bots & Bosses (english)

by Dominic von Proeck

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 more about our work at https://leadersofai.com

From the show's RSS feed, refreshed Oct 18, 2026. Source feed.

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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 automatically immediately relevant for your company - what’s behind OpenAI Dots, Microsoft Copilot Autopilot, Meta Muse,...

  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 links) Andreessen Horowitz: State of Markets II ChainCatcher: Summary of the report “State of Markets II” Amazon Web...

  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 change something for companies: in costs, processes, dependencies, and operational execution. Key Topics: - What Jev...

  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 episode, you will learn: - Why the question “agents or operating system” is the wrong question - What connectability means...

  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 surprised even us. In this episode, you’ll learn: - What makes the AI operating system different from the agent…

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  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 agents fit into everyday work so quickly, and how clear leadership logic helps you keep adoption, quality, and...

  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: Why the real AI bottleneck in Europe is not attention, but application Why access to tools alone does not create an...

  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 organizations. You will learn: why a digital twin is more than a copy why leadership principles in agentic organizations...

  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. You’ll learn: - why the debate about “lazy-thinking students” misses the point - what Wang and Zhang found in their...

  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 dropped, even though we had good content - how a second agent analyzes the data and directly improves the skills of the…

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  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’ll learn: - why this insight matters more for companies than it seems at first - which three motives are behind real…

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  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 everyday work? You’ll learn: - why Claude feels like the first real work assistant for many people right now - which…

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  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 it, all of marketing. 3. Europe’s digital sovereignty is becoming a strategic question. 4. AI start-ups are booming…

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  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 percent of AI value ends up with only 20 percent of companies - Why falling inference costs make AI an infrastructure...

  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 organizational design, and how you can use a simple role framework to clearly set responsibilities, quality standards, and...

  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 was there and spoke with companies like Adidas, Porsche, and KSB. The key insight: Behind the shiny surface, companies...

  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 not a tool question, but a question of organizational design, and we share our learnings from more than a year of...

  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, and which three leadership questions you should answer now. **Links & Recommendations** - [Leaders of AI -...

  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, risk, approval - Why polished outputs are the most dangerous trust trap You can find more info about Leaders of AI…

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  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 rarely the bottleneck. Processes are. - Why extreme efficiency suddenly feels like chaos: seven research projects, no...

  21. AI Hype vs. AI Doom: How to Stay Level-Headed

    AI is often either a “wonder weapon” or “the end of the world” in the media — and that is exactly what makes many organizations nervous. In this episode, we talk about why dystopia gets so many clicks and how, as a leader, you steer with a system instead of headlines. - Why negative AI headlines...

  22. AI productivity: Why impatience is costing you ROI

    The AI productivity boost is measurable: US productivity +2.7% (Stanford, Brynjolfsson). But many companies see no ROI—not because AI doesn’t work, but because they (1) are in the middle of a transformation and (2) measure the wrong things. In this episode, you’ll learn: - Why the AI productivity...

  23. Digital Sovereignty: Architecture Instead of Ideology

    “Get out of Big Tech” is a nice impulse, but not a strategy. In this episode, Tobi explains why digital sovereignty is an architecture decision—and how Leaders of AI puts it into practice. **In this episode:** - Why “Europe only” is just as risky as “put everything in the US cloud” - The three...

  24. AI should lighten the workload. So why doesn't it feel that way?

    AI makes output cheap — and still increases the workload if your system can’t handle the new speed. This episode is about “workload creep”: how AI quietly creates more work, and what you can do right away with three simple team rules to stop it. - Why AI often doesn’t reduce work, but instead...

  25. Head of AI: The Trend Job for Leaders in 2026

    LinkedIn names Head of AI as the number one trending job in Germany. In this episode, we analyze the data, show the strategic implications for your career path, and share our observations from working with more than 2,100 leaders during AI transformation. Plus: three concrete steps to help you…

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  26. Five leadership mistakes that slow down AI transformation

    Sixty-eight percent of companies fail to move their AI experiments into production. The problem? It's not the technology – it's leadership. In this episode, we discuss the five most common leadership mistakes: 1. **The ROI trap** – Measured too early, too narrowly 2. **Delegation instead of...

  27. Why Humanity Becomes a Competitive Advantage in AI Transformation

    82% of employees have never had any AI training. At the same time, leadership teams expect 30% more productivity. Microsoft analyzed 37 million Copilot requests, and the result is surprising: people don’t use AI for efficiency, but to communicate in a more human way. In this episode, you’ll…

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  28. Prompting is dead. And that's a good thing.

    In this episode, we discuss why prompting is dead and can never work as a pervasive enterprise strategy. You'll also learn how to become productive with AI instead and ensure consistently high quality using prompt assistants. [Here's the free download of our prompt assistant...

  29. 6 Predictions for AI in 2026

    72% of companies use AI – but only 23% make it out of the pilot phase. To be on the winning side in 2026, here are our six predictions: Governance becomes a C-level priority – No more siloed solutions and five parallel travel expense agents Sovereignty becomes an architecture question – Where do...

  30. Trailer - Bots & Bosses

    10 humans. 50+ AI colleagues. A company that feels like science fiction – but it's just our everyday reality. 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...

  31. AI's Big Bubble: Risks and Revolutions

    In this episode, we discuss whether artificial intelligence is a bubble and why that might not matter. AI could be the most significant bubble we've ever needed. We shed light on the current skepticism surrounding the overvaluation of AI technology and how this compares to important historical...

  32. Large language models are transforming the industry: What does AI bring to production?

    In this episode of "AI in 5,4,3,2,1", we explore the revolutionary influences of Large Language Models on industrial production. Dominic, founder of 'Leaders of AI', highlights how AI optimizes processes in factories and the challenges and opportunities that come with it. - Discover how LLMs...

  33. Germany's AI Agenda: Education as a Blind Spot?

    In this episode of "AI in 5,4,3,2,1," Dominic talks about Germany's High-Tech Agenda and the key ambitions in the field of Artificial Intelligence. He examines how the crucial human factor is considered in these technological plans. - Germany's High-Tech Agenda and the goal to generate ten…

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  34. Data Protection & Compliance with AI in Companies

    In this episode of "AI in 5,4,3,2,1" we talk about data protection and compliance in AI: real risks, what the GDPR and the EU AI Act require, and how you can introduce AI pragmatically and audit-ready today. There's also a clear Leaders‑of‑AI assessment with concrete next steps. - Risks: Data…

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  35. Use Cases & Value Propositions of AI Browsers

    In this episode of "AI in 5,4,3,2,1," we talk about AI browsers like OpenAI Atlas, Perplexity Comet, and Arc/Dia: What they promise, what they actually deliver in practice, and why we currently advise companies to keep their distance. You'll get a clear Leaders-of-AI assessment with pragmatic…

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  36. Use Cases & Value Propositions of AI Browsers

    In this episode of "AI in 5,4,3,2,1," we talk about AI browsers like OpenAI Atlas, Perplexity Comet, and Arc/Dia: What they promise, what they actually deliver in practice, and why we currently advise companies to keep their distance. You'll get a clear Leaders-of-AI assessment with pragmatic…

    more
  37. Language interfaces are revolutionizing teams worldwide

    In this episode of the podcast "AI in 5,4,3,2,1" with host Dominic, the founder of 'Leaders of AI', the focus is on the revolutionary role of language interfaces in hybrid teams. Discover how generative AI, through large language models like ChatGPT, is changing team dynamics and increasing...

  38. New team structures: How humans, LLMs, and AI agents are transforming organizations

    In this episode of "AI in 5,4,3,2,1," we dive into multi-agent teams in a practical way, showing how humans, LLM-based consultants, and specialized AI workers collaborate—and why this fundamentally changes team structures. Discover how teams dynamically form, dissolve, and reform around topics,...

  39. Europe Unites Forces for the AI Future

    In this episode, we take a look at the Hacktivate AI Initiative by OpenAI and Allied for Startups, which has the potential to elevate Europe to a new level in the field of artificial intelligence. We demonstrate how this initiative can help Europe become a leader in AI. - The Hacktivate AI...

  40. SMEs Transforming: AI as a Growth Engine

    In this episode of "AI in 5,4,3,2,1" with Dominic, the founder of 'Leaders of AI', we explore the challenges European SMEs face in adopting AI. Learn how these hurdles can become opportunities for business growth. - Comparing AI adoption today with the Internet revolution of the 90s - Utilizing...

  41. Diversity as a Driver for AI Innovation

    In this episode, we discuss why diversity and inclusion in AI teams are not only moral but also strategic design principles. We explore how diverse perspectives can improve the quality of AI products and increase their acceptance. - The importance of diversity to avoid blind spots in AI design -...

  42. Human-Machine as the New Work Revolution

    In this episode of "AI in 5,4,3,2,1," we explore the changing world of flexible human-machine collaboration. Find out why AI agents could become indispensable copilots in your work environment. - Hybrid collaborations end rigid automations, with AI agents handling routine tasks and escalating…

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  43. How Human-AI Collaboration Drives Real Productivity

    In this episode of the podcast "AI in 5,4,3,2,1," Dominic, founder of Leaders of AI, discusses the exciting symbiosis between humans and AI. He demonstrates how collaboration can lead to increased productivity and how companies can optimally deploy these innovative teams. - Discover the concept…

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  44. Sutton’s “dead end” argument for LLMs

    In this episode of "AI in 5,4,3,2,1," Dominic, founder of 'Leaders of AI,' shines a light on an intriguing controversy in the world of Artificial Intelligence: Are large language models the right path or merely imitators of human knowledge? This discussion leads us into new horizons for learning…

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  45. Agents that shop independently

    In this episode of "AI in 5,4,3,2,1," we explore the fascinating world of AI agents and their ability to complete tasks autonomously. We highlight the latest developments and challenges that emerge in everyday life. - Functionality and potential of AI agents. - Challenges and limitations of…

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  46. From AI potential to real business success

    In this episode of "AI in 5,4,3,2,1" we explore the gap between AI experiments and real business success. We explain how companies can harness the potential of AI by closing the implementation gap, known as the "Execution Gap." - The "deploy, reshape, invent" framework by Matthew Kropp - The...

  47. Future of Work: Factories Without People?

    In this episode of "AI in 5,4,3,2,1" we explore the future of factories and the possibility that human labor might soon no longer be needed. Learn how automation is transforming the manufacturing industry and what it means for our working world. - Learn more about Xiaomi's fully automated...

  48. AI takes over support at Salesforce

    In this episode of "AI in 5,4,3,2,1," we discuss a significant shift in the tech industry: Salesforce has replaced 4,000 support jobs with the use of AI. What does this mean for the business world, and how might it transform industries? - Salesforce has revitalized unused sales leads and...

  49. Bureaucratic Hurdles in German AI Advancement

    In this episode of "AI in 5,4,3,2,1," Dominic sheds light on the current state of the German AI landscape and its challenges. Despite billions in investments, true breakthroughs remain elusive. Now, you'll find out why. - Germany is known for engineering prowess, yet is mired in AI bureaucracy. -...

  50. AI in healthcare is revolutionizing medicine

    In this episode of "AI in 5,4,3,2,1," we explore the transformative potential of AI in healthcare. From assisting doctors with routine tasks to optimizing patient care, the possibilities are astonishing. - An AI from OpenEvidence impresses with perfect results in the US Medical Licensing...

About this show

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 more about our work at https://leadersofai.com

Hosted by

Dominic von Proeck

Frequently asked questions

How many episodes does Bots & Bosses (english) have?

Bots & Bosses (english) has 153 episodes on PodParley. The most recent episode was published on October 18, 2026.

What is Bots & Bosses (english) about?

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...

How often does Bots & Bosses (english) release new episodes?

Bots & Bosses (english) publishes weekly, based on its 153 episodes since May 2024.

Who hosts Bots & Bosses (english)?

Bots & Bosses (english) is created and hosted by Dominic von Proeck.
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