Are you afraid of AI? Many people are, and the industry is happy to feed that fear. Fear gets attention, and attention raises money.
The talk takes the two big fears apart one at a time. Will AI kill us all? AI agents don’t turn evil. They play whatever role we give them. The real question is whether we hand the actor a real gun, and people make that decision. Will AI take our jobs? The data shows no mass unemployment, yet. It does hit the entry level, the jobs that are mostly tasks, and it raises the bar for human work from the average to the top. The bar has moved before, over years. This time it moves in months.
For years the question was: “Can AI do that yet?” That is no longer the question. Agentic AI can now take over a surprising amount of work on its own. The bottleneck is no longer the machine.
Everybody is suddenly saying “agentic platform.” Almost nobody can define one. That is exactly what we set out to fix.
I invited Kaspar von Grünberg onto the channel. He has spent years shaping platforms, put the internal developer platform, the IDP, on the map with Humanitec, and built PlatformCon into the largest platform engineering community. He is now building Canyon, a control plane for enterprise AI, and his book Thinking in Platforms is on the way. By the end of this conversation you will know what an agentic platform actually is, why it matters, what it takes to build one, and how to start.
Summary # At the 10th edition of the FRANKFURT FUTURE TALKS, a partner event by Wirtschaftsinitiative, F.A.Z. and Momentum held at Massif Central, Dr. Sarah Jourdan (Genow.ai), Romano Roth (Zühlke) and Prof. Dr. Peter Buxmann (TU Darmstadt) discussed Agentic AI. Moderated by Daniel Schleidt (F.A.Z.), the panel asked: Where does the hype begin, what is reality, and how is value created?
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.
