UFC’s AI Bet: From Green Screens to Generative Storytelling
The UFC is openly leaning into AI media production despite vocal backlash from some fans. Chief Content Creator Craig Borsari frames AI as a creative enhancement, not a replacement, comparing it to long-accepted techniques like green screens. In his view, AI tools help storytelling teams work more efficiently and experiment with bolder visual concepts, rather than simply automating content. UFC leadership is also unapologetic about criticism: CEO Dana White has dismissed concerns and insisted that AI is inevitable in modern production. For aspiring creators, the key takeaway is that major sports brands now treat AI fluency as part of the standard toolkit, alongside cameras and editing software. As organizations like the UFC normalize AI-assisted workflows, creators entering the industry will be expected to understand how to use AI tools for creators to amplify content rather than resist them outright.
Adobe GenStudio and the Rise of the Agentic Content Supply Chain
Adobe is pushing AI media production deeper into professional pipelines with its new agentic content supply chain built around Adobe GenStudio Firefly. The company argues that human teams alone can no longer keep up with demand for constant creation, testing, and localization across digital channels. Firefly’s AI Assistant lets users describe goals in natural language, then deploys software agents that can build workflows, ask clarifying questions, and automatically apply feedback. These agents tap into pre-built skills, such as portrait retouching, and learn a creator’s aesthetic preferences over time, carrying that memory across Adobe apps and into collaboration platforms like Frame.io. For large brands, this means ideation, production, and governance can be orchestrated in a semi-automated loop. For creators, it signals a future where understanding how to steer AI agents—and how to fit into AI-managed content pipelines—becomes as important as traditional editing skills.
Studios Go All-In: Utopai and Huace Turn AI into a Core Production Engine
Beyond tools, studios are building business models around AI. Utopai Studios has partnered with Huace Film, one of the world’s major TV and film producers, on a large-scale AI content initiative. Huace has committed to extensive annual usage of Utopai’s PAI platform across its production operations, coupled with a usage-based revenue-sharing deal. After evaluating a crowded field of AI models, Huace explicitly sought more than a simple video generator: it wanted a platform that could support long-form storytelling, creative control, continuity, and end-to-end production workflows from development through delivery. With a vast library of TV intellectual property and global distribution channels, Huace’s move shows how studios are operationalizing AI to unlock new development and adaptation pathways. For creators, this signals emerging opportunities to plug into AI-first pipelines that prioritize narrative quality, but also a shift toward systems where platforms, not individuals, manage the core production stack.
AI Becomes Infrastructure: A Market Moving Toward USD 68.8 Billion
These individual moves sit within a broader economic transformation. Analysis from Future Market Insights estimates the AI in media and entertainment market at USD 12.0 billion (approx. RM55.2 billion) in 2025, with expectations to reach USD 14.1 billion (approx. RM64.8 billion) in 2026 and expand dramatically to USD 68.8 billion (approx. RM316.5 billion) by 2036. This growth is driven by AI-powered production workflows, personalization engines, and real-time analytics across streaming platforms and broadcasters. Companies are integrating AI into VFX, editing, localization, recommendation systems, and even automated camera work for live events. The report warns that media organizations failing to adopt AI-driven workflows risk higher costs and weaker viewer retention. In effect, AI is shifting media from a content-centric to a data-centric ecosystem, where automation and optimization underpin nearly every stage of production and distribution—turning AI from a novelty into core infrastructure.
What Aspiring Creators Should Do Now
For emerging creators, these developments redefine what it means to be “industry ready.” First, AI literacy is no longer optional: understanding tools like Adobe GenStudio Firefly, generative video systems, and AI assistants will be a baseline expectation. Second, there are new opportunities to integrate into studio workflows—whether by creating AI-ready assets, fine-tuning models with brand-specific data, or serving as human supervisors who guide and correct AI outputs. Third, there are real risks: entry-level tasks such as basic editing, localization, or simple motion graphics are increasingly automated, squeezing traditional junior roles. The response is to move up the value chain by focusing on creative direction, storytelling, and cross-tool orchestration. In a world where UFC AI content, AI-powered studios, and agentic content supply chains become standard, the most resilient creators will be those who can both tell compelling stories and command the AI tools that now shape how those stories are made.