Disney bets on Adobe’s Firefly to create brand-safe AI models for its entertainment empire

Disney and Adobe announced a multi-year partnership at Adobe’s MAX conference to build custom AI tools for the entertainment giant’s productions. Under…

By Vane November 9, 2026 1 min read
Disney bets on Adobe’s Firefly to create brand-safe AI models for its entertainment empire

Disney and Adobe announced a multi-year partnership at Adobe’s MAX conference to build custom AI tools for the entertainment giant’s productions. Under the deal, Disney receives early access to new Adobe technology for its theme parks, cruise line, and ESPN content. Adobe will use Adobe Firefly Foundry to construct custom models trained on Disney characters, environments, and visual styles to produce commercially safe, production-ready output. Disney’s Imagineering research division already uses Firefly for theme park development, while the agreement expands internal creative workflows at Walt Disney Studios. The Walt Disney Studios’ StudioLAB and ESPN’s innovation hub ESPN Edge are part of the arrangement, where AI is intended to boost fan engagement for sports content and find new uses for ESPN’s archive.

This collaboration matters because it addresses specific operational needs without inferring broader changes to customer products or privacy policies. The move follows Disney’s previous agreement with OpenAI, which the company subsequently left, and its involvement in the bankruptcy of Character.AI. Context includes reports that Disney plans to cut thousands of jobs and trim costs by 20 percent annually, marking the company’s fourth round of layoffs this year. The partnership focuses on brand safety and workflow efficiency within Disney’s internal divisions rather than altering external API behaviour or public account features.

* Focuses on Disney Imagineering, StudioLAB, and ESPN Edge workflows
* Trains models on proprietary Disney visual styles and character knowledge
* Follows a failed partnership with OpenAI and recent internal cost-cutting measures

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