Operating Models in the Age of AI

AI Is Not a Wave - It’s an Adoption Wall

On the main stage of the Swiss AI Summit 2025, Wanja Bont made one thing clear from the start: AI adoption is no longer a future scenario - it is already reshaping work, roles, and organizational structures at unprecedented speed. Unlike previous technologies that took decades to mature, AI systems reached millions of users within days, forcing organizations to react in real time.

This acceleration has tangible consequences. By 2030, a significant share of today’s work tasks will be automated, and many companies are already pausing hiring in routine-heavy functions. However, Wanja emphasized that AI is not only about replacement. While automation will handle repetitive tasks, AI simultaneously increases the value of uniquely human capabilities such as judgment, creativity, trust, and contextual decision-making.

Automation and Augmentation Must Scale Together

A core message of the keynote was the need to run two vectors in parallel: automation and augmentation. Organizations that focus only on efficiency gains risk missing the real opportunity - designing collaboration between humans and machines that improves outcomes rather than just reducing costs.

The challenge, however, is organizational. Most AI initiatives fail below the surface due to what Wanja described as the “iceberg problem”:

• unclear ownership
• weak roles
• missing governance
• siloed teams
• and cultures that are not ready for AI-driven change

Without an operating model that embeds AI into how decisions are made and work is organized, even strong pilots remain isolated experiments.

Swiss AI Magazine 2026

Insights, takeaways, and perspectives that last

2026 also sees the launch of a new edition of the Swiss AI Magazine. Building on the momentum of the previous year, the magazine captures key insights, strategic reflections, and concrete takeaways from the last summit while adding fresh perspectives on emerging trends and technologies.

As the first printed AI magazine in Switzerland, it serves as a bridge between the summit, the membership, and the wider ecosystem. The 2026 edition will spotlight cross-industry learnings, real-world use cases, and thought leadership that extends the impact of the summit far beyond the event itself.

Launch of the Podcast

This year, we’ll be introducing a new podcast format designed to extend the conversations beyond the Summit and into a more continuous exchange throughout the year. The podcast will explore practical perspectives on AI, leadership and real-world application - bringing together voices from across the ecosystem. While we’re not revealing too much just yet, more details on the format, themes, and first episodes will be shared soon.

We are grateful to DigitalMara for recognizing the Swiss AI Summit as part of the global AI event landscape and for reinforcing the importance of credible, impact-focused AI platforms.

Leadership Disciplines for Scaling AI

To overcome these barriers, Wanja outlined five leadership disciplines: anchoring AI in business strategy, defining clear value propositions, redesigning governance and decision rights, investing in people and AI literacy, and treating data as a product with ownership and quality standards. These disciplines are not new - organizations have encountered them during previous digital transformations - but AI amplifies their importance.

The keynote concluded with a clear call to action: there is no Plan B. Leaders must move from pilots to operating models and treat AI as a fundamental organizational transformation, not a technical upgrade.

👉 Watch the full keynote on YouTube:

https://youtu.be/lot2WZlPjoI