Most innovation does not die at the patent office. It dies long before that, in the way an organization makes decisions, executes, and turns ideas into outcomes.
I was invited onto The Hard Things About IP, hosted by Dimitris Giannoccaro and produced by IamIP, for Episode 7. We stepped beyond patents and legal frameworks to the question that sits before every filing: how do organizations actually turn ideas into real results? We talked about AI transformation, organizational design, why so many AI initiatives get stuck in pilot mode, how feedback loops drive decision-making, and why accountability needs to live where the work happens.
Welcome to Edition 6 of The CAIO.
June had one lesson that kept landing on a desk where it had rarely landed before: finance. For two years we treated AI tokens as free and competed on how many we could burn. In June the bill arrived. The price of each request had fallen, which is exactly why usage exploded and the total cost climbed past what anyone had budgeted. AI cost control became a CFO topic as fast as it became ours.
Summary # First the online travel provider Lastminute, then the online pharmacy DocMorris: within a single month, two listed companies in Switzerland justified larger job cuts with AI. At Lastminute, a reorganization is expected to eliminate about a quarter of its roughly 1,600 positions; at DocMorris, around 100 full-time roles group-wide. Michael Siegenthaler, head of the Swiss Labor Market research division at the KOF Institute, has observed a trend since 2024: especially in certain IT jobs and heavily language-based roles, the job market has weakened because of AI, and fewer entry-level positions are being advertised. At the same time, it remains unclear whether the hoped-for productivity gains actually materialize in day-to-day work.
Summary # Handelsblatt examines how the shift by major model providers to usage-based billing turns tokens into a resource that companies must actively manage, much like labor, energy, and capital. The trigger, among others, is GitHub Copilot moving to token-based billing. The article shows how companies are responding to the cost pressure through budgets, model selection, and new platforms.
Artificial Intelligence has moved from research labs into boardrooms, but too often it is surrounded by hype, inflated promises, and misguided investments. Many organizations rush to “do something with AI” without considering trust, data confidentiality, or the actual problems they are trying to solve.
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?
This interview was published on June 2, 2026 in IT-Markt, conducted by Coen Kaat. Translated from German.
Digital sovereignty is forcing IT leaders to rethink. With AI too, companies want to reduce their dependence on large foreign corporations. Romano Roth, Chief of Cybernetic Transformation at Zühlke, explains when a local AI infrastructure pays off and what to consider.
Welcome to the first issue of The CAIO. The newsletter you knew as The Cybernetic CxO has a new name, and the reason is on the cover of this issue. From 1 May, I am Group Chief AI Officer at Zühlke. The job is the same work I have been doing for years: getting AI past the pilot phase through transformation across organisation, process, and technology, not by tuning the model alone. The newsletter title now says that out loud.
Where ChatGPT cowboys ride the hype, we need a clear look at AI:
It is a pattern recognition machine. It has no brain. We still need to use our own. It does not replace humans, it complements them. Why we should start thinking in feedback loops.
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.
Imagine it is 2046. And your most important conversation is not with a human. What remains of autonomy, responsibility, and purpose? A look into the AI future, in three scenarios.
AI portfolios rarely fail because leaders lack ideas. They fail because too many initiatives are funded before anyone proves they can move a business metric, fit into a real workflow, or survive enterprise constraints.
