The productivity gain
is no longer a promise.

6,000 people in 24 hours. 37 comments. Dozens of private messages. Almost all of them asking the same three questions: where did the idea come from? How did you do it? Did you have help?

A revealing paradox

We live in a paradoxical era. Every day, we are all exposed to dozens of pieces of content about AI: its tools, its promises, its use cases. And yet, when a concrete, simple, visible project appears — one that was implemented quickly — it still surprises people.

As if we talk a great deal about AI, without yet fully grasping what it already makes possible.

This is not a criticism. It is an observation. And it says something important about the state of transformation in our organizations: the talk has outpaced the doing. Many companies have an AI strategy. Few have teams that have genuinely rolled up their sleeves, tested, failed, adjusted, and tried again.

What this means for the organization

The point is not to ask a CEO to build a website in a few hours. In a previous article, I described exactly how this project came together: a few hours of work, €40 in subscriptions, Claude and HeyGen. But in 2026, a modern executive must be able to recognize what can now be designed, tested, and deployed quickly, at a reasonable cost, using AI.

Because when you apply that logic at the scale of an entire company, the consequences are immediate. Marketing, sales, HR, finance, IT, customer relations: it is not just a few tasks that improve. It is the organization's very capacity to move faster, learn faster, produce faster, sell faster.

The productivity gain is no longer a promise. It is a measurable reality, a very concrete accelerator of value creation. For a private equity fund or a shareholder operating a B2B SaaS business between 10 and 100 million euros in revenue, this is precisely the kind of lever that separates an ordinary growth trajectory from one that builds towards exit.

The gap is forming now

Right now, a gap is forming. Between companies that are genuinely experimenting, and those still watching. This gap is not yet visible in the numbers. It will be in 18 to 36 months.

The organizations that extract the most value from AI will not necessarily be those with the largest IT budgets. They will be those whose leaders understand what is now possible, and who give their teams the freedom to test, fail fast, and iterate.

That is exactly how I have operated for 18 years. Observe, position, test, ship, learn fast. This site is not just a personal branding exercise. It is a live demonstration of how I approach any market.

And it is what I bring to every engagement.