Artificial Intelligence does not decide Europe’s future. Human decisions do. In this talk, I show what you can do differently starting tomorrow: which skills to build, how to choose AI tools, and how to reduce dependencies. No moral finger-wagging, just straight talk.
Banks spend 93% of their AI budget on technology. Only 7% goes to people. And then they wonder why 95% see no impact on their P&L.
On March 31, 2026, I gave a keynote at the Zühlke Banking Talk in Schlieren on why the future of AI is “cybernetic” and what it takes to become an AI-native bank. The evening brought together perspectives from academia, a major German bank, and practitioners from Swiss financial institutions.
How to build adaptive, AI-native organizations where people, technology, data, and AI models work together efficiently.
$30 to 40 billion invested in generative AI globally. 95% of companies see no impact on their P&L. Only 5% create real value. Companies spend 93% on technology and only 7% on people. What is missing is not the next tool. What is missing is the ability to steer and adapt.
In this LeanPub podcast episode, host Len Epp and I have a deep conversation about my book “The Cybernetic Enterprise: How to Build a Future-Ready Organization.” We cover everything from my career journey at Zühlke, to why the future is cybernetic rather than just AI, to the practical steps of enterprise transformation. If you have ever wondered what it takes to build an organization that can continuously adapt, this conversation covers the essential ideas.
AI is everywhere, but clarity, strategy, and real impact are often left by the wayside. We live in the era of what Romano Roth has dubbed ‘AI idiots’, an era of flashy demos rather than genuine long-term value. But a smarter way forward is possible. Discover the Cybernetic Enterprise and the business value it offers for industrial organisations.
“AI won’t fix your broken processes. DevOps won’t save your business. But Cybernetics might.”
At DevOps Pro Europe 2025 in Vilnius, I had the privilege of delivering the opening keynote to a packed hall of engineers, architects, and leaders navigating the ever-accelerating evolution of enterprise technology. My message was direct:
Imagine a world where security is seamlessly integrated into your development workflow from ideation until production, so that development teams can completely focus on feature development while building secure applications. That is exactly what I presented at the OWASP Chapter Meetup Switzerland. In this talk, I show how platform engineering transforms modern application security and makes DevSecOps a reality at scale.
In August 2025 I will release my new book, The Cybernetic Enterprise: How to Build a Future-Ready Organization.
It is the product of two decades spent guiding enterprises through DevOps, platform engineering and, more recently, AI-driven transformation. Today I want to give you a deeper look at what the book delivers, and why it matters right now.
In this episode of the Ship It podcast, Gerhard Lazu and I have a deep conversation about what good DevOps looks like in practice. We talk about the real challenges companies face during transformations, how to deal with middle management resistance, technology choices, and where the industry is heading with AIOps and hyper automation.
I joined Eveline Oehrlich, Chief Research Officer at the DevOps Institute, on the Humans of DevOps podcast for a conversation about whether DevOps is dead. Spoiler: it is not. But the reality in most companies is that we have not progressed as far as many people think. In this episode, we talk about what a Chief of DevOps actually does, why companies still struggle with walls of confusion, how platform engineering enables scaling, and my prediction about digital factories.
In this episode of the DevTalk podcast, my colleague Kerry Lothrop and I have a conversation about the state of DevOps. We have known each other for many years at Zühlke, and Kerry wanted to pick my brain on what DevOps really means today, where companies struggle, and where the industry is heading.
DevOps transformations look simple on paper. Take an existing environment, add the Spotify model, throw in SAFe, sprinkle some Team Topologies, add DevOps and platform engineering, stir well, add as many tools as possible, and stir again. What happens? It crashes. And people say “DevOps is bullshit.”
