Three days of the last week. Three new topics:
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"Friday came the customs deal. 15% instead of 39%. But it's not through yet. Parliament. Referendum. How do I plan my supply chain for 2026? [Manufacturing executive]
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"Our exports fell by 14% in May. Chemical-Pharmaceutical minus 19%. And then there are new regulations. How do we stay fast enough?" [CFO]
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"Monday was the cybersecurity conference. Tuesday new AI models came out. On Wednesday, three customers asked about AI integration. How do I keep up with that?" [IT manager of an SME]
The real question behind all three:
"How do we realign ourselves every day when everything is fundamentally changing?"
🎙️ You prefer to listen? Here's a short, AI-generated audio summary of this issue:
Either/or is dead Now it's both/and
We treated transformation like this for years:
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Set up project
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Make a decision (A OR B)
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Implement
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Check off
Fast OR careful.
Time OR quality.
Tool OR transformation.
That worked as long as the world was slower.
But now?
AI models in a daily rhythm. Geopolitical shifts on a weekly basis. New competitors every month.
The "either/or" is dead.
There is no way around it: it is "both/and" - or we no longer swim with them.
It has been apparent for some time.
Transformation is no longer a project that is completed. It becomes a permanent state.
The recognized Academy of Management confirms this in a recent research series:
One line sums it up perfectly:
"When you 'solve' one tension, you don't eliminate it. You just push it somewhere else."
Paradoxes interact. They cascade across levels. Actors are operating in a paradox - and creating new ones in other areas.
This is not abstract theory.
This is the reality we are all living right now.
What if the solution is not resolution, but endurance?
Three specific examples from the last few weeks:
Example 1: Developing corporate strategy with AI
A medium-sized company wanted to develop its 5-year strategy.
Previously: 3 months competitive analysis. External consultants. Thick Powerpoints.
Now we've done it differently:
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AI (Custom GPT) as a sparring partner
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Management works directly in sessions
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Real-time iteration instead of months of preparation
Result: Draft strategy in 2 weeks instead of 3 months.
But - and this is the point - the strategy is now adjusted on a quarterly basis.
Not as a weakness. As a feature.
Example 2: Try Gemini 3 directly
A few days ago Gemini 3 out.
The question in a management team: "Should we switch now? What about GPT-5.1, which has also just been released?"
Answer: Both.
We have been mmind.ai 90 minutes blocked.
Gemini 3 tested with a real use case, a workshop summary.
Compared with GPT-5.1.
Decided: GPT remains for this application.
But: We have learned what makes Gemini tick.
When a new use case comes along, we know where to start.
This is not strategy paralysis.
That is strategic flexibility.
Example 3: Start personally - rethink your own way of working
Don't involve the entire organization right away.
Instead, start with your own way of working.
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Analyze calendar (where does the time go?)
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Try out deep research (how well do the new models really know my market?)
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Structuring voice notes (what really needs attention?)
Several hours per week are quickly gained.
The question is not: "What do I choose?"
The question is: "What rhythm can I create to deal with contrary developments?"
The triangle of transformation:
1. DATA - structured, accessible, trustworthy
2. CULTURE - curious, agile, courageous
3. TECHNOLOGY - Tools that are actually used
These three move SIMULTANEOUSLY.
Not one after the other.
And they move continuous.
Not as a project with a degree.
This allows us to look at tensions in a new way.
Not as a problem that needs to be solved.
But as Space in which transformation occurs.
The AI world is showing us this mercilessly right now:
If you wait for the "perfect" model, you will miss the boat.
If you use every model blindly, you lose control.
The balance is: Both. At the same time.
On December 10, we'll show you exactly that - live. Together with Manuel Pfiffner, CEO of sl.one.
AI Café: Cloud as a field of tension
We show:
✓ How to set up AI securely (with a solution directly from Liechtenstein)
✓ How to work with Microsoft Copilot in the new Copilot Studio
✓ How cloud solutions can be securely integrated into your data world
Not theoretically. Practical.
We work with real tools.
You can see how it works.
You take concrete steps with you.
P.S. Finally, to get back to the point - transformation: both:
