AI adoption is spreading rapidly across museums, theaters, and cultural institutions, but individual staff enthusiasm is outpacing organizational strategy. A new industry study surveyed 214 arts and culture professionals representing organizations of all sizes across North America to understand how the sector is actually using AI, where it's delivering value, and what's holding back broader implementation.

What Are Arts Organizations Actually Using AI For?

The research reveals a sector in transition. While individual staff members are actively experimenting with AI tools, most organizations have not yet developed formal, organization-wide strategies for deployment. The gap between grassroots adoption and institutional readiness is one of the study's most striking findings. Arts leaders are grappling with practical questions about governance, training, and investment that go far beyond simple content creation use cases.

The study identifies several emerging opportunities beyond the obvious applications. Organizations are discovering value in areas they hadn't initially anticipated, suggesting that as comfort with AI grows, so does creative thinking about where these tools can genuinely help. However, this experimentation phase also reveals significant barriers to responsible adoption.

How to Build an Organization-Wide AI Strategy in the Arts?

• Governance and Ownership: Establish clear policies about who decides how AI is used, who owns the outputs, and how decisions are made about deployment across departments.
• Staff Training and Investment: Move beyond ad-hoc experimentation by providing structured training programs and allocating budget specifically for AI tools and integration.
• Mission-Driven Evaluation: Assess AI adoption through the lens of organizational mission, audience trust, and authenticity rather than purely through efficiency gains.

What's Actually Holding Back Broader Adoption?

The research identifies mission-driven concerns as central to the sector's hesitation. Arts organizations worry about authenticity, ethics, and how AI adoption might affect audience trust. These aren't purely technical barriers; they're philosophical ones rooted in the sector's values. Unlike tech companies optimizing for speed or scale, cultural institutions must balance innovation with stewardship of artistic integrity.

The study also found that organizations are uncertain about what they need next. Leadership across marketing, development, executive roles, and digital strategy roles all report gaps in knowledge about how to move from experimentation to measurable organizational impact. This suggests that the sector needs not just tools, but frameworks and peer learning opportunities.

How Has Sentiment Shifted Since Last Year?

The research compares findings with Capacity's 2025 survey of 105 arts professionals, revealing how attitudes toward AI have evolved over the past year. This longitudinal perspective shows whether initial skepticism has softened, whether early adopters have seen tangible results, and whether the sector's concerns about AI have shifted or intensified.

The report provides practical benchmarks and emerging trends designed to help organizations make smarter decisions about AI. For arts leaders just beginning to explore AI or developing organization-wide strategies, the data offers a clear picture of where the sector stands today and what peers are prioritizing. The findings suggest that the next phase of AI adoption in the arts will be defined not by technology capability, but by organizational readiness and mission alignment.