If you work at a museum or gallery, you know that curatorial work goes far beyond hanging paintings. There are hours of research, drafts of technical sheets, wall texts at different reading levels, press releases, exhibition proposals and communication with artists, lenders and the public. All of this with small teams and tight budgets.
Artificial intelligence is not going to replace curatorial judgment or the aesthetic eye that takes years of experience to develop. But it can clear a big chunk of writing and organizing work out of your path so you can focus on what truly matters.
Artist research and historical context
When preparing an exhibition, the first stage is usually research: who is the artist, what movement do they belong to, what are their influences, what criticism have they received, which works belong to public collections. That process can take days.
With AI you can speed up the initial phase considerably. Tools like Claude, ChatGPT or Perplexity help you:
- Quickly synthesize an artist’s biography and career from sources you provide
- Contextualize a work within a movement or historical period
- Find connections between artists or currents you hadn’t considered
- Generate interview questions for the artist or their representative
The key is that you verify and deepen. AI gives you the starting point, not the final verdict.
Wall texts and technical sheets
This is one of the most time-consuming jobs in curation: writing accessible texts for different audiences (children, adults, specialists), precise technical sheets and wall labels that are neither too simple nor too cryptic.
With AI you can generate first drafts of those texts in minutes. You give it the basic information about the work, the artist and the concept, and ask for the tone you need: “write an 80-word wall text for general audiences” or “write me a technical sheet with the work’s data in this order”. Then you edit, adjust the voice and add the nuances only you know.
AI produces the draft. You bring the judgment and depth that make the text yours.
For bilingual exhibitions or translated materials, it can also save you significant time by producing a first translation that a specialized translator then reviews.
Institutional communication and press releases
Writing a press release, an email inviting lenders, a collaboration proposal to another institution or an open call for artists: all of that has structure and formula. AI handles it well when you give it the right context.
You can say: “Draft a press release for the launch of this exhibition. The name is [X], it opens on [date], includes these artists, the general concept is [description], and the museum is [name]”. In seconds you have a first draft you refine with your institutional voice.
The same applies to loan request emails, donor thank-you notes or internal communications to the team.
Mediation and educational programs
One of the modern museum’s challenges is connecting collections with audiences who have no formal art training. Designing thematic tours, guiding questions, family activities, school workshops: AI can help you generate ideas and structure those programs.
Tell it, for example: “I want to design a tour for families with children aged 6 to 10 through the 20th-century Latin American art collection. Give me 5 works that could be included and 3 conversation-starter questions for each one”. You don’t have to use everything it returns, but it saves you the time of starting from scratch.
What AI cannot do
AI has no curatorial eye. It doesn’t know which works carry the weight needed to anchor an exhibition, it doesn’t understand the dynamics of a physical space, it doesn’t know your collection’s history or the relationships with artists you’ve built over years. It cannot decide whether a work has what it takes to communicate what you want.
All of that remains yours. And that is where a curator’s value lies: in the judgment, the experience and the ongoing conversation with art that no machine can replace.
Where to start
There’s no need to overhaul your entire workflow at once. Start with the task that steals the most time this week: it might be drafting the sheets for an exhibition opening soon, writing the press release for the next event or preparing questions to interview an artist.
Hand it to an AI, review what it produces and adjust. The first time takes a bit of trial and error to find the prompts that work for your institution and your voice. But once you have them, the flow becomes much faster.
Art and culture deserve teams that can focus on what matters most. AI can help you get there.
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