CJ ENM premieres AI-hybrid film The House

UPI reports South Korea's CJ ENM premiered the AI-hybrid feature film "The House" this week at CGV Yongsan, with streaming release slated on TVING. According to UPI and AJU Press, the 60-minute occult thriller was shot on a green-screen stage while all backgrounds and visual effects were generated with Google tools, including Imagen, Nano Banana, and Veo. AJU Press and UPI report the shoot took four days and cost about 500 million won (approximately $337,000), which producers described as roughly five times cheaper than a conventional production. Jeong Chang-ik, head of CJ ENM's AI Studio and lead producer, said "We have expanded the production paradigm," at a panel after the premiere, per UPI. Editorial analysis: For practitioners, the project illustrates how generative-image and video tools can compress production timelines, while multi-model pipelines introduce color and detail consistency challenges that raise postproduction burdens.
What happened
UPI reports that South Korea's CJ ENM premiered an AI-hybrid feature film titled "The House" (also reported as "Apartment") on Apr. 30 at CGV Yongsan I'Park Mall in Seoul, with a release scheduled on the streaming platform TVING. Per UPI and AJU Press, the film runs about 60 minutes and follows an occult-thriller premise where a young woman encounters spirits after moving into an old apartment building.
What happened
According to UPI and AJU Press, the production filmed actors on a green-screen stage and generated every background and visual-effect element using Google generative tools, specifically Imagen, Nano Banana, and Veo. AJU Press and UPI report the principal shoot was completed in four days and that the total budget was about 500 million won (approximately $337,000), which organizers described as roughly five times cheaper than a comparable conventional production.
What happened
UPI quotes Jeong Chang-ik, head of CJ ENM's AI Studio and lead producer, saying "We have expanded the production paradigm" at a panel after the premiere Thursday. UPI and MK report actor Kim Shin-yong said performing with real-time completed backgrounds improved immersion. AJU Press also reports the production team flagged technical limits, noting that combining multiple AI outputs produced uneven color and detail, increasing the need for standardized digital color grading.
Technical details
Editorial analysis - technical context: The reported workflow replaces location shoots and practical environment builds with generative-image and video outputs used as final backgrounds, while preserving live actor performances on chroma-key stages. In comparable industry experiments, practitioners rely on multi-tool stacks for image synthesis, real-time on-set visualization, and GPU-accelerated rendering. A common operational friction is that separate generative models and tools produce outputs with different color science and noise characteristics, creating additional tasks in color management, compositing, and quality assurance.
Context and significance
Industry context
The CJ ENM project joins a growing set of studio experiments that aim to reduce location logistics and VFX budgets by shifting work to generative models. Public reporting places this effort in the broader debate since 2023 about automation, job displacement, and creative control in media production. CJ ENM's corporate channels also reported a contemporaneous strategic move: the company announced a joint venture called "StudioMonowa" with Japan's TBS and U-NEXT Holdings, per CJ ENM newsroom material, indicating parallel investment in cross-border IP and distribution capabilities.
What to watch
For practitioners: monitor three categories of indicators. First, replication and peer uptake-whether other studios publish similar production metrics or release AI-assisted titles to streaming platforms. Second, pipeline tooling and standards-emergence of color-management conventions, metadata formats for model provenance, and vendor features that reduce per-tool variance. Third, legal and labor developments-coverage, guild responses, and contract language around AI-derived assets and on-set credits. Audience reception and TVING performance metrics will also determine if the cost and time reductions translate into commercial value.
Bottom line
Editorial analysis: The project is a concrete, documented instance of hybrid production that preserves live acting while substituting generative assets for environments and effects. For production engineers and VFX teams, the immediate implications are practical: faster turnarounds and lower hard costs come with an elevated burden on postproduction standardization, asset validation, and pipeline engineering.
Scoring Rationale
Notable for practitioners because it documents a publishable, low-cost hybrid production using named generative tools and concrete metrics (shoot time and budget). The story affects VFX and pipeline engineering discussions but is not a frontier model or platform shift.
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