When Will AI Replace Lapidaires et diamantaires ?

By 2030, around 40% of gem and diamond worker tasks will be automated. This transformation is driven by advanced laser cutting systems, AI-assisted design software, and robotic polishing platforms. These technologies are rapidly enhancing precision and consistency in gem shaping.

The early impact will be felt by entry-level gem cutters in mass-market jewelry production, with potential disruptions as soon as 2027. These roles often involve more standardized and repetitive tasks, making them prime candidates for automation.

Mid-wave transformation will see AI tools increasingly assist in more complex processes. However, master cutters and specialists in high-value stones and restoration will see their careers extended, potentially beyond 2035.

Entry-level gem cutters in mass-market jewelry production are most vulnerable to early automation, with potential impacts starting around 2027. Tasks involving routine cutting and basic polishing are increasingly being taken over by machines.

Conversely, master cutters of high-value stones, custom designers, and restoration specialists are well-positioned to extend their careers, potentially to 2035 and beyond. The luxury jewelry market, a global industry exceeding $300 billion, continues to highly value human artisanship.

The key differentiator is the demand for unique artistry, complex problem-solving, and bespoke craftsmanship, areas where human expertise remains paramount and less susceptible to immediate AI takeover.

To navigate the evolving landscape, focus on developing master-level cutting skills or transitioning into jewelry design and custom work. You have approximately 4-6 years to acquire these advanced capabilities or shift your career focus.

Invest in acquiring specialized skills in high-value stone cutting, intricate design, or restoration techniques. These areas leverage unique human creativity and precision that AI currently cannot replicate, ensuring continued demand for your expertise.

Explore opportunities in custom jewelry design, where understanding client needs and translating them into unique pieces remains a human-centric skill. This path allows you to work alongside AI tools rather than be replaced by them.