{"id":104188,"date":"2026-07-13T14:49:15","date_gmt":"2026-07-13T14:49:15","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/104188\/"},"modified":"2026-07-13T14:49:15","modified_gmt":"2026-07-13T14:49:15","slug":"how-a-i-is-quietly-rewriting-the-rules-of-art-valuation","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/104188\/","title":{"rendered":"How A.I. Is Quietly Rewriting the Rules of Art Valuation"},"content":{"rendered":"

\t\t\"NETHERLANDS-FRANCE-DIPLOMACY-CULTURE-MUSEUM\"<\/a>Rembrandt\u2019s The Night Watch being examined by a robot at the Rijksmuseum in 2023. Photo by LUDOVIC MARIN\/AFP via Getty Images<\/p>\n

The use of artificial intelligence in the art world has been touted for its supposed ability to spot fakes and authenticate works by Old Master<\/a>s, identify which emerging artists will become the next superstars and even create artworks without human involvement<\/a>. It\u2019s all very space age and largely niche. But behind the scenes in a rapidly changing art market, A.I. is already playing a significant role in price setting.<\/p>\n

Perhaps necessarily. The art market is \u201cnotoriously opaque,\u201d New York City art advisor Alex Glauber<\/a> told Observer, as the only information on what something costs comes from auction sales records\u2014and only a small percentage of artworks are sold at public auctions. Most sales are made by galleries and dealers who never disclose what buyers paid. How are art advisors supposed to inform their clients about a possible purchase if they don\u2019t know whether a price is reasonable? How are insurers supposed to write fine art policies for collections<\/a> if the appraisers they rely on have little to no access to the prices paid for artworks?<\/p>\n

A growing number of companies have developed programs using A.I. technology to help with just that, including iownit, Wondeur, ARTDAI and the Winston Artory Group. Glauber, an advisory board member of ARTDAI, noted that while \u201cdatabases allow you to compile auction comparables, ARTDAI distinguishes itself in what you can do with that information. The platform can autogenerate tailored reports that analyze auction sale patterns and market performance for an artist. From there, you can upload artwork details for works that have not been publicly sold at auction, and ARTDAI can analyze the inputted transaction data against historical auction results to surmise a fair market value based on public auction data.\u201d<\/p>\n

Part of what makes the art market seem opaque is that it is based on trust\u2014trust in a dealer or advisor who presumably has a great deal of knowledge and a sense of what\u2019s up-and-coming\u2014rather than on verifiable fact. Maybe that dealer just wants you to buy the work of an artist he currently represents. Maybe that advisor owes someone a favor. Fact-based means verifiable information about art, not your nose for sniffing out quality, your keen eye, your expertise or your connoisseurship. Wondeur\u2019s model is fed massive amounts of information about art galleries and museums, as well as about artists and artworks, particularly from the past 75 years\u2014such as where an artist\u2019s work has been exhibited, which institutions have collected the work, prices earned by dealers for sales of artworks, the primary medium and most acclaimed period of the artist, as well as the critical response to the work and the gender and nationality of the artist\u2014to identify patterns in the career trajectories of artists of all types, from emerging to world-famous, that can create comparables. In the words of Olivier Berger<\/a>, co-founder of Wondeur, \u201cA.I. can understand why and when the value of an artist\u2019s work changes over time, bringing explainability to art values in the past, present and future.\u201d He added that \u201cwe can deliver technology to impact investing. A.I. can see opportunities in the market that are not seen by others.\u201d<\/p>\n

A number of technology companies have entered this field. Some\u2014ArtWorldInsights.com and ArtBnk\u2014have been left by the wayside, while others are still in development. The remaining technology enterprises distinguish themselves in specific ways. Anne Rappa<\/a>, national fine arts and specie practice leader at Manhattan-based insurance brokerage company Marsh McLennan Agency, told Observer that \u201cWondeur\u2019s model is based on predictability related to a large data set. ArtDAI is focused on the part of the market that represents the majority of sales and a smaller data set.\u201d<\/p>\n

\"A<\/a>Nanne Dekking of the Winston Artory Group describes himself as a \u201cfirm believer in human expertise\u201d when it comes to assessing the value of artworks. Courtesy Winston Artory Group<\/p>\n

She added that A.I. will not replace \u201chonest, knowledgeable, experienced experts\u201d in evaluating risk or processing claims but noted that Artory, which recently merged with the art advisory and appraisal company Winston Art Group<\/a> to become the Winston Artory Group<\/a>, is \u201croutinely engaged by insurance companies for loss and damage claims.\u201d<\/p>\n

Even more of a skeptic is Roman Kraussl<\/a>, a professor of finance at Bayes Business School in London who specializes in the art market, who said that \u201cfact-based is good, but there is no fundamental value to art. It is all subjective. I can say to someone, \u2018This should be your price, but if paying more or less makes you happy, then that will be your price.\u2019\u201d<\/p>\n

Nanne Dekking<\/a>, co-founder and co-executive chairman of the Winston Artory Group, also does not see artificial intelligence replacing human expertise now or anytime soon. However, like Berger, he sees the need for more facts rather than subjectivity when ascertaining the value of art.<\/p>\n

\u201cAs art and collectibles become a larger share of private portfolios, many collectors and their advisors face a persistent challenge, which is understanding the current value of these assets in a way that is reliable, defensible and actionable. Traditionally, valuations in the art market have been episodic, updated only when needed for a transaction, estate planning, or insurance. However, as wealth advisors, insurers and private clients increasingly seek to treat art like any other financial asset, there is growing demand for real-time, data-driven insight.\u201d<\/p>\n

Dekking describes himself as a \u201cfirm believer in human expertise,\u201d especially when it comes to inspecting \u201cthe physical artwork rather than just betting on that A.I. would do that work for me.\u201d He added, \u201cWe\u2019re not saying A.I. does appraisals for us, but what A.I. does is help us find comparables, not only because of image recognition.\u201d There is a vast body of information about artworks that can be compiled from published references, exhibitions and previous owners. \u201cSo there\u2019s a whole range of different data sets that A.I. mines that make it possible for us to start to make connections between different artworks.\u201d<\/p>\n

A key element of Artory, which is now available to Winston\u2019s client base, is its use of blockchain technology to register and validate research and due diligence information on artworks in a client\u2019s collection. Blockchain creates tamper-proof, time-stamped records of ownership, provenance, value and condition that enhance opportunities for liquidity and make it easy for collectors to grant permissioned access to insurers, attorneys, financial advisors and estate planners.<\/p>\n

The benefit of blockchain is that vital information is not stored on one computer file but in a more secure system. \u201cIf you look at Los Angeles and the fires<\/a>,\u201d Dekking said, \u201cthere were actually people who didn\u2019t store information about their artworks in the cloud because they didn\u2019t trust that, and they had their own computers in the houses with the records of these artworks, and literally everything was lost.\u201d<\/p>\n

Editor\u2019s note: This article was originally published on October 8, 2025.<\/p>\n

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