Bots & Bosses (english)

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...

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...

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...

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...

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 supe...

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...

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 innovations. - The role of exaggeration and greed in technological innovations, similar to the internet bubble of the 1990s. - Potentials and risks of generative AI in various industries – from medicine to education to transportation. - Why it is important to continue pursuing the enormous potential of AI despite possible setbacks and skepticism. ...

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 analyze production data in real-time and provide recommendations for optimizing processes. - Learn how companies like Siemens and Bosch are already benefiting from internal LLMs and the advantages generative models offer. - Join the discussion on the necessity of new educational approaches and the role of AI in shaping work culture. - What strategies should companies...

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 percent of GDP through AI by 2030. - The blind spot in the strategy: insufficient educational approaches to promote AI competencies in society. - Comparison of international educational approaches regarding AI competencies, such as in Canada and Singapore. - The importance of education and training in the AI economy for Germany and the role of 'Leaders...

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 leaks through AI‑agents, model inversion, third-country transfers, vulnerabilities of AI‑browsers (including Atlas-exploit). - Regulation in a nutshell: GDPR principles and DPIA; EU AI Act with risk management, documentation, logging/monitoring. - Implementation: EU hosting/on-device, clear governance, audit-ready logs; start with inventory, harden data paths, DPIA, sandbox pilot. F...

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 next steps. - Promises vs. Reality: fewer clicks, faster results – but often shaky workflows and little reliable added value in tests. - Key Concerns: data protection/data sovereignty, lack of transparency, ROI that's hard to prove. - Recommendation: If testing, then small and controlled; at the same time, expand stable AI assistant workflows. More in...

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 next steps. - Promises vs. Reality: fewer clicks, faster results – but often shaky workflows and little reliable added value in tests. - Key Concerns: data protection/data sovereignty, lack of transparency, ROI that's hard to prove. - Recommendation: If testing, then small and controlled; at the same time, expand stable AI assistant workflows. More in...

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 efficiency. - Learn how LLMs act as bridges between team members and specialized AI systems, optimizing communication. - Explore practical use cases in the fields of health research, crisis management, and finance, where language interfaces offer significant advantages. - Get to know the challenges associated with implementing such technologies and how they can be...

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, what roles the actors take on, and how clear communication guides coordination. - Understand the roles: Humans as supervisors, LLMs as consultants, specialized AI as workers—with clear handoffs. - See concrete examples: Crisis management with real-time reconfiguration, health research with faster insights, operational control with stable execution. - Recognize the benefits: more flexibility, higher agility, and quicker prob...

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 Initiative aims to accelerate the use of AI in Europe and integrate it more broadly. - In Brussels, 65 participants worked in workshops on 20 groundbreaking approaches to strengthen Europe's AI vision. - Focus on harmonizing and simplifying digital markets to promote AI usage. - The OpenAI Academy supports over...

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 AI-as-a-Service for cost-efficient implementations - Solutions for the skills shortage through partnerships and programs - Strategies for GDPR-compliant implementation of AI solutions - The cultural shift in companies for successful AI integration For more info, visit: https://xpertsoft.com/how-can-european-smes-overcome-the-challenges-of-ai-adoption/?utm\_source=openai

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 - Structural challenges and low female participation in AI research - The use of AI to promote diversity and fairness in recruitment - The crucial role of human-machine interaction and explainability in diverse teams More information can be found at: / /

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 edge cases. - An example from Magdeburg shows the future of hybrid work models in the AI Co-Working Lab. - Capgemini estimates the potential of agent-based systems to be 450 billion US dollars by 2028. - Trust and human-in-the-loop are essential for the successful scaling and acceptance of these technologies. More information can be found at: / /

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 of the 'Centaur,' a hybrid model that combines human and artificial intelligence. - Learn how human-AI teams can be effectively organized to achieve the best results. - Practical examples: From data analysis to creative processes and design ideas—AI as a member of the team. - The future of teams: Why it is important to in...