A thought-provoking article takes a deep dive into how artificial intelligence (AI) is increasingly shaping a traditionally opaque and subjective process, this being the valuation of artworks.
In the Observer article “Artificial Intelligence Is Quietly Rewriting the Rules of Art Valuation” published on 10 August 2025, Daniel Grant argues that what might at first glance seem like a niche intersection of tech and high culture is already having real consequences for collectors, insurers, advisors and the broader machinery of the art economy.
A central observation in the piece is that the art market’s lack of transparency has long made valuation more of an art than a science. Unlike more regulated asset classes, property, equities, or bonds, prices for artwork sales are rarely public, and most transactions happen privately through galleries or dealers. This absence of verifiable pricing data leaves buyers, appraisers and insurers reliant on fragmented auction records or gut instinct. AI, equipped to process enormous datasets from auction results, exhibition histories and institutional holdings, promises to change that.
The article profiles several AI-driven platforms, including iownit, Wondeur and ARTDAI, which aim to bridge informational gaps by identifying comparable sales and market patterns. These tools can generate tailored reports by analysing past auction sales and broader data points, enabling valuations even for works that have never publicly traded. Proponents argue that this capability offers a more “fact-based” and defensible valuation than relying purely on human connoisseurship or advisor networks.
Yet the Observer article balances technological enthusiasm with a dose of realism. Experts quoted in the article stress that AI is not poised to replace human expertise but to augment it. Physical inspection, provenance research and seasoned judgement remain crucial; AI, on its own, cannot appreciate condition, subtle authenticity signals or the intangible qualities that influence market desirability.
This balanced perspective resonates with broader debates in Australian cultural and creative industries, where technology’s role is advancing but often contested. Unlike markets such as finance or real estate, where data-driven valuation is the norm, art valuation has historically relied on reputation, legacy and subjective taste. AI’s entry into this space raises questions about whether Australian galleries, auction houses, and private collectors will adopt similar tools, and how this might influence pricing transparency and liquidity in local and regional art markets.
Moreover, as art and collectibles become a more significant part of diversified portfolios, the need for reliable valuations, for insurance, lending or tax purposes, grows, especially in Australia where fine art is increasingly viewed as an alternative asset. AI could help democratise access to reliable valuation insights, particularly for emerging artists whose works have limited transaction histories.
In essence, the Observer article presents a compelling case that AI is not just a futuristic novelty for the art world but a practical tool reshaping how value is assessed. For Australian collectors and professionals, this shift invites reflection on how technology and traditional expertise can coexist in valuing cultural capital.
The use of valuation in valuation will be a key discussion topic at the AVC26 Conference to be held over 7-8 May 2026 on the Gold Coast, so be sure to plan your attendance.
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