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Add Texture to GoogleIn January 2026, in the midst of a Texas winter, a unique gathering took place at the private residence of art patrons David Booth and Heather Pesanti in Austin. Seated around the table were the leaders of America’s largest cultural institutions—from New York’s MoMA to the Cleveland Museum of Art and the Detroit Institute of Arts—who had gathered to address a silent crisis: how can artificial intelligence—often perceived as a force of dehumanization—actually strengthen the organic bonds between a museum and its audience? Initiated at the urging of Jim Breyer, an influential investor and board member, this discussion led by the think tank Remuseum is now charting an unprecedented course for the cultural sector.
The Artist as a Technological Compass
Rather than passively enduring technological change, institutions are choosing to place creators at the heart of the research process. The idea is simple: to use the artist’s critical eye to demystify algorithms. Through research residency programs, visual artists such as Alexander Reben and Susan Robb are now collaborating with cutting-edge laboratories, notably those at Meta. These partnerships allow for experimentation with generative tools—not as gadgets, but as new creative materials. For museums, the challenge is to make sense of contemporary changes by entrusting artists with the task of questioning the impact of these technologies on our perception of art.
Artificial Intelligence in the Service of Institutional Memory
One of the major challenges facing major museums is the fragmentation of their data. Between ticketing systems, donor databases, collection catalogs, and customer relationship management (CRM) systems, information about the institution’s supporters is often scattered across aging software. At the Detroit Institute of Arts (DIA), a pragmatic approach is taking shape under the leadership of Jen Snyder, Chief Digital Officer. Instead of undertaking a unified software overhaul estimated to cost several million dollars, the museum is prioritizing integration through a large language model (LLM).
This solution allows the fundraising teams to query the entire historical archive using natural language. With a single query, an administrator can obtain a comprehensive overview of a donor’s profile, cross-referencing their visit patterns with their past contributions. Here, AI serves as a tool for streamlining administrative processes, freeing up valuable time to cultivate more meaningful human relationships.
A Unified Voice for a Stronger Identity
The proliferation of communication channels—from exhibition labels to newsletters and social media—often leads to a dilution of the institution’s voice. The Frye Art Museum in Seattle has chosen to use generative AI to address this lack of stylistic consistency. By modeling a rigorous style guide and brand identity, the museum fine-tunes AI assistants such as ChatGPT or Copilot. The result is consistent editorial content capable of reaching diverse audiences while remaining true to the institution’s DNA. This automation of form allows curators to focus on the scientific substance of their work.
Governance: Training in “Constructive Skepticism”
The integration of AI naturally raises questions about security and employment. At the Museum of Modern Art (MoMA) in New York, the strategy is based on a hybrid model called “Human + AI.” Under the leadership of Jan Postma, the institution has established strict protocols: while open-source tools are accepted for routine, non-confidential tasks, all sensitive internal data is processed exclusively through secure, enterprise-licensed solutions. The organization has also established a monthly governance group and incorporated technology risk into the scope of its audit committee.
In Washington, the National Gallery of Art is taking a similar educational approach. In partnership with OpenAI and Microsoft, it is rolling out a training program focused on “digital judgment.” The goal is to foster “constructive skepticism” among employees, teaching them to distinguish between situations where AI provides real added value and those where it could prove counterproductive or biased. Far from reducing staff, this transformation is redefining roles by eliminating time-consuming tasks in favor of assignments with higher cultural value.
The Visitor Experience: Between Companionship and SEO Strategy
The impact of AI is also evident on the gallery floor. The Crystal Bridges Museum of American Art, located in Bentonville, is currently testing “Rosie,” a companion chatbot accessible via smartphone. By pointing their device at a work of art, visitors can engage in a personalized conversation. Rosie tailors her explanations based on the user’s profile and specific questions, transforming art interpretation into a dynamic dialogue rather than a static monologue.
Meanwhile, the National Gallery of Art is using these technologies to enhance its archival collections. By extracting and linking academic research to artwork records, the museum is optimizing its digital accessibility. This strategy also responds to a profound shift in the web: since Google rolled out generative summaries in mid-2025, direct traffic to cultural websites has experienced significant fluctuations. By diversifying the channels through which visitors access their collections via AI, museums ensure that their scholarly expertise remains the go-to source, regardless of how the public conducts their research.
To support these initiatives, accelerator programs such as “The Vanguard,” led by Remuseum and the Doris Duke Foundation, now award grants of $100,000 per year to recipients (approximately €92,000). This investment confirms that AI, far from being an end in itself, is establishing itself as the new nervous system of cultural institutions, focused on preserving human connection.