Podcast
Bots & Bosses (english)
Hosted by Dominic von Proeck · EN
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!
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Learn more about our work at https://leadersofai.com
38episodes
Episodes
Newest firstAll episodes
Fluid Teams: Why We No Longer Have to Choose Between Agents and an Operating System
2w ago00:04:45Tap to summarizeAgents 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 and why it decides the value of AI - How the formula “value equals quality times connectability” works in practice - What Fluid Teams are and how AI calculates the best AI setup by itself - Two concrete examples from the everyday work at Leaders of AI - Why Fluid Teams are currently research, and when results can be expected This is Part 4 and the finale of our blog and podcast series on AI architecture in companies. Sources: - Physaric, Leaders of AI: Connectability. The underestimated factor that decides the value of AI. Guide for leaders, 2026 - Physaric, Leaders of AI: Why AI often stays ineffective. A formula for the value of human-AI collaboration. Working paper, 2026 - Leaders of AI blog series: AI architecture in organizations: [Part 1,](https://www.leadersofai.com/blog/sind-ki-agenten-schon-wieder-outdated) [Part 2](https://www.leadersofai.com/blog/vorteil-von-ki-agenten), [Part 3](https://www.leadersofai.com/blog/dein-ki-betriebssystem-kann-alles-dein-team-nutzt-es-trotzdem-nicht), [Part 4](https://www.leadersofai.com/blog/fluide-teams-das-grande-finale-unserer-serie-zu-agenten-und-betriebssystemen), 2026 - Thariq Shihipar, 2026: [Anthropic: Dynamic Workflows in Claude Code](http://x.com/trq212/status/2061907337154367865) More about Leaders of AI: [leadersofai.com ](https://www.leadersofai.com/) Newsletter: [www.leadersofai.com/newsletter](https://www.leadersofai.com/newsletter)
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Your AI operating system can do anything. Your team still doesn’t use it.
3w ago00:05:24Tap to summarizeAn 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 approach - Why a system without a face and a role does not build trust - How an AI system checks itself, and why that is a problem - How a governance incident showed us where the real risks are - Why the agent approach is human-first and the operating system is AI-first - The key question that shows you which approach fits your company This is part 3 of our blog and podcast series about AI architecture in companies. Sources: - Leaders of AI blog series: AI architecture in organizations, part 1–3 - Internal self-experiment More about Leaders of AI: leadersofai.com Newsletter: [www.leadersofai.com/newsletter](https://www.leadersofai.com/newsletter)
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The most surprising benefit of AI agents? Humanity.
4w ago00:05:56Tap to summarizeAI 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 governance stable. - Why AI projects rarely fail because of tools—but because of unclear goals, vague responsibilities, and missing quality standards - Think of agents as “roles on the team”: delegate, review, build feedback loops, keep ownership (instead of believing in a black box) - How we work at Leaders of AI with 10 people + 50+ AI colleagues—and why names like Monika, Helga, or Paula are interface design for responsibility - Scaling without chaos: orchestration instead of model power (example: Jürgen as a “manager agent” → less coordination, more stable quality) Sources: [Measuring Human Leadership Skills with AI Agents](https://www.nber.org/papers/w33662), Harvard Kennedy School / NBER, 2025. More info at: https://leadersofai.com. And here is our newsletter: https://www.leadersofai.com/newsletter
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Europe 2031 Review: Europe’s AI future will be decided in how it is used
Jun 2000:04:18Tap to summarizeIn 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 advantage Why teams, processes, and enablement will matter more than the next big AI announcement More about Leaders of AI: [https://leadersofai.com](https://leadersofai.com/) Newsletter:
Transcribe →Dominic’s Digital Twin
Jun 1400:04:10Tap to summarizeIn 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 copywhy leadership principles in agentic organizations must be made explicitwhy orientation matters more than perfect imitationwhat happens when teams and AI systems work more independentlywhy strong AI organizations don’t fail because of models, but because of vaguenessMore info at: https://leadersofai.com.And here is our newsletter: https://www.leadersofai.com/newsletter
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From Homo Sapiens to Homo Agenticus
Jun 700:05:01Tap to summarizeIn 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 study with 912 students - why cognitive offloading does not automatically mean less thinking - why efficiency and critical review do not contradict each other - what we mean by the term Homo Agenticus Sources and mentions: - Wang & Zhang (2026): - More about Leaders of AI: - Newsletter:
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How self-learning AI is shaping our marketing
May 3100:03:57Tap to summarizeIn 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 first - why marketing is an ideal starting point for self-learning AI systems - why the real challenge is not technology, but leadership - why in the future the key question won’t be whether AI learns, but where it learns toward Sources and mentions: - Business Punk column by Dominic von Proeck, published on 01/06: - More about Leaders of AI: - Newsletter:
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What 81,000 people want from AI
May 2400:04:06Tap to summarizeIn 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 AI adoption - why unreliability and job worries remain the biggest brakes - why leaders need to translate AI not through tools, but through specific use cases - why reliability is the real lever for adoption Sources: - Anthropic: What 81,000 people want from AI: - More about Leaders of AI: [https://www.leadersofai.com](https://www.leadersofai.com/) - Newsletter: - Blog: [www.leadersofai.com/blog/was-81-000-menschen-von-ki-wollen](www.leadersofai.com/blog/was-81-000-menschen-von-ki-wollen)
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Why everyone is talking about Claude
May 1700:04:43Tap to summarizeIn 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 features make the difference: large context, Artifacts, Extended Thinking, and integrations - why justified hype is no reason for hectic tool switching - which three questions you should ask before any migration - why AI only scales with roles, responsibilities, and leadership - why, in content work, AI can also be a corrective against over-dramatizing Sources and mentions: - Anthropic, Claude Model Docs: - Anthropic, Token efficient compaction: - Anthropic, ServiceNow Case Study: - CNBC, Claude Cowork Update, 24/02/2026: - Financial Times, note on more moderating AI answers: More on Leaders of AI: [https://www.leadersofai.com](https://www.leadersofai.com/) Newsletter:
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Five major AI insights from OMR 2026
May 1000:05:54Tap to summarizeIn 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, but the market is moving toward consolidation. 5. The mindset is shifting from fear to co-pilot. Our take: OMR 2026 showed that these topics no longer belong on “future” panels. They are execution topics now. You can find more about Leaders of AI at leadersofai.com For weekly updates in your inbox, sign up for our newsletter: [www.leadersofai.com/newsletter](http://www.leadersofai.com/newsletter) **Sources:** - OnlineMarketing.de: OMR 2026 Hamburg Event Recap AI Future: - Meedia: Artificial intelligence is changing everything, including OMR 2026: - Contentmanager: OMR 2026: These trends and developments shape the festival: - Marketingscout: Between the AI revolution, world stars, and Europe’s digital sovereignty: - Kress: OMR Festival 2026: The sentences that stick: - Basic Thinking: OMR 2026 experiences: - GQ: OMR 2026 highlights: - Android Digital: OMR 2026: The future of digitalization:
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