Dear reader,

Recently, I had the opportunity to present this topic to a panel of luxury-sector specialists. My message? You can see it in the title of this article. Luxury has always had a beating heart: that of the artisan. The hand that shapes, the gesture handed down, the imperfection that proves the human touch. But today, a new force is entering this centuries-old workshop: artificial intelligence.

AI: a tool, not a master
In practice, AI is winning over the industry. It predicts trends, optimizes inventories, and personalizes customer service. It is efficient. It is fast. But make no mistake: luxury does not sell because it is fast or perfect. It sells because it is unique. Because it bears the mark of the person who created it. If AI begins to decide on the design, choose the materials, or replace the craftsman’s hand, then we lose what gives the product its real value: its human story, its soul.

The main risk: algorithm-driven homogenization
Here is the most insidious danger, the one that is often underestimated: the standardization of taste.
Today, many luxury houses rely on the same technology giants for their AI tools. They use the same predictive models, the same trend databases, the same optimization algorithms.
So what are the potential consequences?
This is what is known as “algorithmic colonization”: if the AI at House A and the AI at House B analyze the same data to predict the next “perfect” trend, they will inevitably converge on the same outcome: what is statistically popular, rather than what makes each house unique. Algorithms are inherently conservative; they draw on the past to predict the future. They tend to reject what is too risky, too unusual, too “outside the norm.” Yet it is often in these shadow zones that true creativity is born.

Training artisans: between transmission and obsolescence
This risk of homogenization directly threatens the training of new artisans. This is where ethics becomes crucial, because craftsmanship is not limited to technical rules: it includes intuition, sensitivity to materials, and the ability to improvise when faced with the unexpected. These qualities cannot be learned from a database. If AI replaces this learning phase with automated protocols, we break the chain of knowledge transfer.
However, AI should not be used to replace training, but to enrich it. It can be used to simulate complex scenarios, analyze past mistakes, or document the masters’ gestures in order to preserve them. But the heart of training must remain direct contact, human error, and correction through mentorship.

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