
Hosted by Dominic von Proeck · EN

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, AI saves friction — and for that you need new rules, ownership, and stop signals More info at: . And here’s our newsletter: **Sources** - [Harvard Business Review (2026): _AI Doesn’t Reduce Work—It Intensifies It_](https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it) - [Upwork Investors: “Upwork Study Finds Employee Workloads Rising…”](https://investors.upwork.com/news-releases/news-release-details/upwork-study-finds-employee-workloads-rising-despite-increased-c) - [Microsoft WorkLab: “Breaking down the infinite workday”](https://www.microsoft.com/en-us/worklab/work-trend-index/breaking-down-infinite-workday)

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 others (Vanguard) - The real challenge is not technology, but leadership **Your three steps to become Head of AI:** 1. Build AI skills 2. Use your industry expertise 3. Become visible **Your first step:** Try Helga, our free AI recruiter. In 2 minutes, she creates a complete personnel file for your first AI assistant. → [Try Helga for free](https://www.leadersofai.com/helga-signup) **Sources:** - [LinkedIn: Jobs on the Rise 2026 – Germany’s 25 fastest-growing jobs](https://www.linkedin.com/pulse/jobs-im-trend-2026-deutschlands-25-wachstärkste-berufe) - [Vanguard: Economic and Market Outlook 2026 (PDF)](https://corporate.vanguard.com/content/dam/corp/research/pdf/Vanguard-economic-and-market-outlook-2026.pdf) - [Walczok & Bipp (2026): Do Large Language Models Evoke Affective Automation-Related Job Insecurity? Springer](https://link.springer.com/article/10.1007/s10869-026-09876-5) - [Harvard Kennedy School: Measuring Human Leadership Skills with AI Agents](https://www.hbs.edu/faculty/Pages/item.aspx?num=67197) **More from Leaders of AI:** - Newsletter: [leadersofai.com/newsletter](https://www.leadersofai.com/newsletter) - Website: [leadersofai.com](https://www.leadersofai.com/) - Our programs at a glance: [leadersofai.com/programme](https://www.leadersofai.com/programme)

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://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2024/us-state-of-gen-ai-q4.pdf)

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 find more about Leaders of AI at [leadersofai.com ](http://www.leadersofai.com) For weekly updates straight to your inbox, sign up for our newsletter: [www.leadersofai.com/newsletter](http://www.leadersofai.com/newsletter) Sources: Microsoft: [Microsoft Copilot Usage Report 2025](https://news.microsoft.com/source/emea/2025/12/puenktlich-zum-jahresende-der-copilot-usage-report-2025) Deloitte: [Human Capital Trends Report 2025](https://www.deloitte.com/nl/en/services/consulting/research/human-capital-trends-report-2025.html) Harvard: [The Cybernetic Teammate](https://www.hbs.edu/faculty/Pages/item.aspx?num=67197) Insights from Global Surveys on [Trust in AI](https://learn.g2.com/trust-in-ai)

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).

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 agentsSovereignty becomes an architecture question – Where do you need data control, where is the US cloud enough?Shadow AI forces you to lead – Your people are already using AI. Are you leading – or just watching?AI becomes invisible – From chatbot to infrastructure working in the backgroundThe job market transforms positively – More jobs, higher salaries, but reskilling is the bottleneckHumanity becomes a superpower – Empathy as competitive advantageNew host alert: Starting this episode, Tobi – our new AI podcast host – takes over.🔗 More about Leaders of AI: leadersofai.com 📩 Newsletter: Click here

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 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

In this episode of "AI in 5,4,3,2,1," we dive into McKinsey's CEO playbook for "Agentic AI" and discover how it allows companies to go beyond traditional assistants. We discuss how leaders can overcome the Gen-AI paradox to achieve real scale effects with AI agents. - Introduction to Agentic AI and its potential for more autonomy in companies. - Success stories from practice showing how agents can increase productivity. - Why an Agentic AI Mesh is crucial for the next step in digitalization. - The transformative role of CEOs in integrating and leading Agentic AI in companies. More information is available at https://leadersofai.com and https://media.licdn.com/dms/document/media/v2/D561FAQGXB1aHZG-3fg/feedshare-document-pdf-analyzed/B56ZdvemaQHUAc-/0/1749921987019

In this episode of "AI in 5,4,3,2,1," we explore the emerging trend of virtual interviews with AI recruiters and its impact on the application process. - How companies are using AI in the recruiting process - Benefits of AI in recruiting and challenges - Risks of an AI-supported application procedure For more information, visit https://leadersofai.com and https://www.cnbc.com/2024/11/05/interactive-ai-interviews-are-going-to-become-a-new-norm-expert-says.html

In this episode of "AI in 5,4,3,2,1," we dive into OpenAI's new approach to promoting "intellectual freedom." We shed light on how ChatGPT's "Seek the truth together" approach is intended to enable new perspectives and why critical thinking will be particularly important in the future. - OpenAI's new approach for open dialogue in ChatGPT - Opportunity to optimize decision-making through differentiated information - Challenge between impartiality and avoiding questionable content - A new perspective on the ethical use of AI in the business world More information can be found at https://leadersofai.com and https://techcrunch.com/2025/02/12/openai-pledges-that-its-models-wont-censor-viewpoints/