Three Key Findings on
AI and Its Opportunities for
(Financial) Decision-Makers

AI Week Frankfurt 2025 made it clear: AI has become a key challenge for strategic decision-makers. But the figures are worrying.

Of the billions of dollars invested in AI projects worldwide, only 5% actually make it into production and generate measurable added value. 95% fail or get stuck in the pilot phase.

Why is that?

I explored this question on the AI Week panel with Tobias Kirchhofer from the Shift Agency. And I discussed three key findings – findings that are not only relevant for financial decision-makers, but for everyone who wants to successfully implement AI projects.

These three insights are so fundamental that they deserve an entire series.

Three Key Findings for Using AI with Measurable Success

1. Don’t ask what you can do with AI – ask what problem you want to solve

   The core problem: companies first ask “What can we use AI for?” This is the wrong starting point.
   
   

2. Calculating instead of guessing – reliability requires data-centered control

   Generative AI alone is not reliable. The solution: an intelligent combination of analytical and generative AI – this is what we call Hybrid AI.
   
   

3. Regulation is not your enemy – regulation is your competitive advantage

   That sounds counterintuitive. But companies that see regulation as an opportunity gain massive advantages: better data, more transparency, secure decisions.

The Article Series Starts This Week

This week we are publishing a three-part series that delves deeper into each of these insights. With concrete examples. With practical logic. With recommendations for action.

If you want to understand why so many AI projects fail – and above all: how to do it differently – then you shouldn’t miss this series.

Part 1 will be published tomorrow: “Don’t Ask What You Can Do with AI