Bots & Bosses (english)
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...
10
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 and our programs at [leadersofai.com](http://leadersofai.com) and in our [newsletter](https://www.leadersofai.com/newsletter). **Sources:** - Anthropic: _[AI Fluency Index](https://www.anthropic.com/research/AI-fluency-index)_
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 clear operating system - What was missing: templates, dashboards, clear quality criteria, clear responsibilities — not “even more agents” - Our course correction as an upgrade: from “max. 7 people” to dedicated roles (Finance, Ops, Org Development), so AI can really have an impact More info at: https://leadersofai.com. And here’s our newsletter: http...
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 dominate: attention = emotion, and fear is the strongest driver - Three common panic claims — plus the key context you need for real-world practice - The leadership playbook against hype & paralysis: check the evidence, think in scenarios, run your own tests with metrics - How you bring calm i...
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 boost is becoming visible in the US (and not here yet) - What the productivity J-curve is and why impatience costs you ROI - Which metrics really matter (rework rate, overtime, employee turnover instead of licenses) - Five concrete steps to get out of the J-curve valley More about Leaders of AI: [www.le...
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 tension fields: data protection, competitiveness, convenience - What must stay with you—and what is allowed to be replaceable - How Leaders of AI rebuilt its own stack in summer 2025 - Three concrete steps you can implement this week **Sources:** - Bitkom: Definition of Digital Sovereignty. ...
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 boosts task expansion, ambient work, and multitasking - The core mistake: “create faster” gets confused with “less work” — without clear stop points, work simply grows back - Three AI practice rules for real relief: Intentional Pause, Sequencing, Human Grounding - A guardrail for leaders: AI doesn’t save work, A...
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 make the jump into an AI leadership role—no matter whether you come from marketing, operations, or product development. **Key takeaways:** - Head of AI and AI developer are the fastest-growing jobs in Germany (LinkedIn 2026) - Average work experience for Head of AI: only 4.8 years - AI-exposed jobs grow twice as fast as...
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 leading** – Leadership doesn't use AI themselves 3. **One-size-fits-all training** – Training everyone the same doesn't work 4. **Experts in silos** – Task forces without critical mass 5. **IT bottleneck** – Gatekeepers instead of enablers More information at: [leadersofai.com](https://leadersofai.com) Subscribe to our newsletter: [leadersofai.com/newsletter](https://www.leadersofai.com/newsletter) **Sources:** Deloitte (2024): State of Generative AI in the Enterprise, Q4 2024. [Link](https...
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 learn: - Why we changed our claim to “Tomorrow is human” - What the Microsoft study reveals about how AI is really used - Why trust is the real bottleneck in AI adoption - The three pillars for successful AI leadership: mindset, skills, community - Three concrete steps you can implement this week You can...
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 Helga](https://www.leadersofai.com/helga-signup) (or as we call her: "AI Recruiter"). Learn more about Leaders of AI at [leadersofai.com](https://www.leadersofai.com/) and in our [newsletter](https://www.leadersofai.com/newsletter).
