On 19 October 2025, the world watched in disbelief as eight pieces of priceless jewellery vanished from the Galerie d’Apollon in Paris’s Musée du Louvre. In a theft lasting less than ten minutes, masked intruders removed a sapphire and emerald collection once belonging to French queens and empresses, including Marie-Amélie and Eugénie. French prosecutors valued the loss at roughly €88 million, but stressed that the deeper harm was not financial but historical. “It is important to remember that this damage is an economic damage, but it is nothing compared to the historical damage caused by this theft,” a spokesperson remarked (Al Jazeera 2025).
The robbery was audacious and meticulously planned. Using a small lift basket to access an upper window, the thieves exploited the museum’s ongoing renovation work and evaded security in what investigators described as a “surgical operation” (ABC News 2025). Yet the real significance of the heist extends beyond its cinematic spectacle. It operates as a striking metaphor for a broader cultural condition, one that reaches into the everyday practices of artists, writers, and digital creators. The Louvre theft offers a physical manifestation of what often happens symbolically in art: the taking of value, knowledge, or creative labour from one context and its reappearance, rebranded, in another.
Artists have always borrowed. From Picasso’s absorption of African forms to Sherrie Levine’s re-photographs of Walker Evans, creative history is a sequence of gestures that flirt with theft. Appropriation can be transformative when it critically reframes or reinterprets the original, adding value or meaning. But it can also reproduce power imbalances, particularly when the “borrowed” material comes from artists or cultures with less visibility or institutional protection. The act of borrowing can easily slip into erasure.
The Louvre thieves, too, selected their targets carefully, choosing objects of the highest historical and symbolic value. They acted within the vulnerabilities of the system: scaffolding, access routes, and predictable routines. The act was physical, yet it also exposed the fragility of the structures that uphold cultural value. In a similar way, appropriation in art often exploits the weak points of the creative economy, where intellectual property law, attribution systems, and ethical frameworks lag behind the pace of production. The artist or producer benefits, while the original maker’s labour becomes invisible.
If the Louvre robbery represents the analogue form of cultural theft, artificial intelligence now offers its digital counterpart. The rise of generative AI—programs capable of creating text, images, and music from vast datasets—has fundamentally reshaped the landscape of creativity. Yet it has also introduced profound ethical uncertainty. As Goetze (2024) argues, AI art can be understood as a form of labour extraction and exploitation, built on datasets of millions of images scraped from the internet without consent. In his words, the results resemble “a stochastic Pollock,” a chaotic abstraction made from invisible brushstrokes that once belonged to others.
Similarly, McLoughlin (2025) describes the emergence of “artificial intelligibility,” a condition in which human creativity and machine synthesis intertwine so completely that the boundary of authorship becomes opaque. Both scholars identify the same underlying mechanism: AI systems rely on pre-existing human creativity but obscure its origins. What appears as novelty is, in truth, a composite of innumerable past works whose creators receive neither credit nor compensation.
In this sense, AI operates as a tolerated Trojan horse within contemporary culture. It enters the creative domain under the banner of progress and innovation, promising relevance and efficiency. Inside, however, it carries the hidden labour of countless artists, designers, and writers whose works constitute its training material. The metaphor of the Trojan horse reminds us that theft is not always violent or visible. Sometimes it is welcomed through the gates as improvement, even as it quietly dismantles the value structures it relies upon.
The comparison between jewel thieves and algorithmic systems may seem hyperbolic, yet both rely on similar dynamics of selection, extraction, and invisibility. The Louvre’s missing jewels embodied both material and symbolic worth; they represented centuries of craftsmanship, national heritage, and the aura of singularity that Walter Benjamin once associated with the authentic work of art. When AI systems “steal” from existing artworks, what vanishes is not gold and gemstone but the recognition of authorship and lineage—the connective tissue of creative culture.
The museum’s failure of surveillance mirrors the inadequacies of today’s legal and ethical safeguards in art and technology. Both cases expose the weaknesses of institutions built to protect value. In each, what follows theft is not merely loss but transformation: objects or ideas are removed from their original context and reintroduced under new ownership, often stripped of their previous meaning. If the stolen jewels were to be melted down, their historical significance would dissolve; if artistic labour is subsumed into data, its lineage disappears in a similar way.
This parallel raises an urgent question for artists and audiences alike: what does authorship mean when creativity is increasingly automated and derivative? To sustain meaningful practice, the art world must develop new forms of transparency and accountability. Dataset disclosure should become a norm, so that creators understand what materials inform the tools they use. Attribution frameworks could allow AI outputs to carry embedded metadata acknowledging their sources, while institutions and platforms should establish clearer mechanisms for fair compensation. Above all, artists must remain conscious of the difference between production and creation. The former generates outputs from existing data; the latter involves intention, reflection, and ethical awareness.
The challenge, then, is not to reject technology but to restore visibility to the labour it conceals. Museums protect heritage by cataloguing provenance and maintaining context. Digital culture must do the same, ensuring that the lineage of creativity is traceable even in its most automated forms. Without this, the creative economy risks becoming a site of silent extraction, where the shimmer of innovation masks a hollow core.
When the thieves at the Louvre pried open the glass cases of the Galerie d’Apollon, they took more than jewels. They removed symbols of power, continuity, and human skill. Likewise, when generative AI systems create art from unacknowledged sources, they replicate a quieter but equally significant act of dispossession. Both forms of theft challenge us to ask whose labour and memory underpin the things we admire.
Artistic creativity has always thrived on influence and exchange. But influence becomes theft when it erases those who made it possible. Whether the culprit wields a crowbar or a codebase, the ethical stakes remain the same: visibility, attribution, and respect for the labour of others. The task for artists today is to navigate this terrain with honesty, ensuring that every new act of creation—digital or material—still acknowledges the hands and histories that made it possible.
References
Al Jazeera (2025) Jewels stolen from Louvre Museum in Paris valued at $102 m. [Online]
ABC News (2025) Thieves robbed the Louvre in minutes: a breakdown of the daring heist. [Online]
Goetze, T. S. (2024) AI Art is Theft: Labour, Extraction, and Exploitation, or On the Dangers of Stochastic Pollocks. arXiv preprint.
McLoughlin, J. (2025) The Work of Art in the Age of Artificial Intelligibility. AI & Society.
