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The Most Important AI in Watchmaking Right Now Is Not on Your Wrist
The phrase “AI watch” usually conjures the wrong image. It brings to mind a smartwatch with a chatbot, a screen that suggests you stand up, or a health metric that tells you something your body already knew. That version of AI exists, and it is improving. But it is not where the most consequential changes are happening in the watch industry.
The real AI story in watches is happening behind the display case—in restoration, supply chain and client service at brands whose entire identity is built on the refusal to industrialize. And that story is more interesting than a wrist-based assistant, because it asks a question the watch world has been avoiding for decades: how much intelligence can you add to a mechanical object before it stops being the thing you loved?
Audemars Piguet is already using AI to service 150-year-old watches
Audemars Piguet's CEO, Ilaria Resta, put it plainly at Watches and Wonders: “We service watches (even) from 150 years ago, and AI helps us to recover the design of the watch, the components of the watch. It's a way also to have an inventory of the wealth of watches and complexity of watches”. In the supply chain, in restoration, and in client services, she described AI as “a fundamental tool”.
That is not a gimmick. AP's founders explicitly refused the industrial revolution, choosing to produce and touch every watch by hand—a decision Resta calls central to the brand's image. AI does not threaten that position. It makes it sustainable. Recovering a component design from a 19th-century watch, or cataloguing the complexity of a century and a half of production, is exactly the kind of work that mechanical watchmaking cannot scale without help. The AI luxury watch service transformation is not about putting algorithms in movements. It is about using algorithms to keep the handmade tradition alive when the original makers are long gone.
The industry has already crossed the AI threshold
This is not one brand experimenting. A Deloitte survey of 420 senior luxury brand executives ranked AI and innovation in materials and production as the “most transformative forces shaping the (luxury) industry's future”. More than 40% of the luxury companies surveyed said they were implementing generative AI in selected areas, and 12% were embedding it in “core functions across the most relevant areas of the organization”. Those are not pilot-program numbers. They are infrastructure numbers.
The Asian watch industry is framing the same shift in parallel. At the 24th Asian Horological Trade & Industry Promotion Conference in Hong Kong, the discussion centered on AI wearables and health management—wearables that continuously gather physiological information and use AI-powered data analysis to identify patterns and encourage earlier attention to changes in well-being . The Federation of Hong Kong Watch Trades & Industries chairman Kan Lam described the path forward as a “dual-track approach,” embracing smart technology alongside artisan craftsmanship and accelerating digital transformation while preserving heritage .
That dual-track language matters. It is the industry's way of saying that AI and craft are not opposites. The brands that survive the next decade will be the ones that use the first to protect the second.
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What this means for buyers
The practical consequence is not that your next mechanical watch will have AI inside it. It is that the service ecosystem around that watch is being rebuilt. When AP says AI helps it recover components for vintage restoration, it is telling collectors that the long-term ownership proposition is changing: watches that might have been unserviceable are becoming serviceable again. When 12% of luxury companies embed AI into core functions, they are signaling that the back-end of luxury—the parts customers never see until something goes wrong—is where the investment is going.
For anyone tracking AI luxury watch service transformation , the takeaway is to watch the quiet parts of the industry, not the loud ones. The chatbot on a smartwatch is the least interesting AI in watches. The algorithm that reconstructs a century-old movement component is the one that will determine what collectors can still own and wear in 2050.
Posted in: Business
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