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Hu Jing Entertainment launches Jingrui AI film and TV production platform
On September 22, at the AI and cultural media forum of the 2026 Yunqi Conference, Hu Jing Entertainment Group unveiled Jingrui AI, which it calls the industry's first AI platform for film and television production and management. The group positions it as new infrastructure for the entertainment industry, spanning both content production and project management.
On September 22, at the AI and cultural media forum of the 2026 Yunqi Conference, Hu Jing Entertainment Group launched Jingrui AI, an AI platform for film and television production and management. According to QbitAI's report, the group describes it as the first platform of its kind in the industry, and the venue chosen for the announcement was the conference's cultural media session.
Both the setting and the naming suggest the product is not meant as a single-point tool but as infrastructure for the entertainment supply chain. Hu Jing calls it new infrastructure for the cultural and entertainment industry, a framing that implies its users include project and process managers, not only front-line creators.
Public information describes two tracks: production, covering the creation of film and television content, and management, covering project and workflow coordination. Putting both on one platform is the most notable structural detail of the launch.
Why it matters: film and television content has long depended on labour-intensive collaboration, with creative, shooting, post-production and management data scattered across separate stages and difficult to reuse as an asset. Platformizing the workflow means embedding AI into the chain from greenlight to delivery, rather than bolting it onto a single step.
This tracks a broader 2026 pattern. As general model capability matures, the differentiator becomes the combination of industry know-how with existing workflows, and cultural media is a textbook case of high content density and long collaboration chains.
What to watch next is which capabilities the platform opens, how it plugs into existing production pipelines, and whether it can produce verifiable efficiency data in real projects. So far, no further product or commercialization details have appeared in public information.
Why it matters
If production and management workflows can be joined on one platform, AI adoption in entertainment shifts from scattered tools to infrastructure, and the way content teams collaborate may be reorganized. The depth of integration and verifiable efficiency data are the next things to check.
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