A.I. Is Moving Through the Art World Fast. The Real Question Is What It Learns
The art world’s embrace of A.I. is no longer theoretical. It is already embedded in appraisal platforms, discovery engines, and day-to-day office routines — and a new survey suggests that the technology may be inheriting the same inequities that have long shaped the field.
Artnet and the Association for Women in the Arts surveyed more than 2,000 arts workers, predominantly women, for the second Hardwiring Change report. Nearly 58 percent said they had encountered structural barriers in their careers tied to gender, race, class, or care responsibilities, with gender emerging as the dominant factor. At the same time, 62 percent reported using A.I. tools at work, and 57 percent said ChatGPT was their most common entry point.
That combination matters because A.I. systems are only as neutral as the data they absorb. Caroline Taylor, founder of Appraisal Bureau, which uses generative A.I. to process comparable works from auction and gallery archives, said the technology can improve transparency, but it cannot erase bias that already exists in the market. “The models are absorbing the inputs,” Taylor said. “If there’s gender discrimination structurally in the market, which there historically has been, that’s the input. So you’re going to see that as the output, unfortunately.”
Her firm’s data, reviewed by human appraisers, shows average fair market values for male artists running approximately 45 percent higher than for female artists. Works by men also account for around 70 percent of appraised works. Roughly a fifth of Hardwiring Change respondents cited “bias or exclusion in datasets” as a concern about A.I., underscoring how quickly automation can harden existing feedback loops rather than correct them.
The same dynamic is emerging in art discovery. A growing number of A.I. tools now combine market data with information about institutional exhibitions, publications, press coverage, and social media metrics to recommend artists and assign confidence ratings. In practice, that can make visibility feel more objective while still privileging the same signals that have historically favored already-established names.
Some platforms are trying to move in a different direction. NALA says it excludes legacy gatekeeping datapoints and instead matches users with works through visual and conceptual affinity. The platform says it already includes 18,000 living artists.
For an art world still reckoning with pay gaps and the chronic undervaluation of women artists, the stakes are clear. A.I. may help reveal patterns that were once difficult to see. It may also reproduce them with greater speed and polish.
