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Netflix Expands Asia Production Budgets and AI Tools to Tackle Talent Bottlenecks

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Netflix Expands Asia Production Budgets and AI Tools to Tackle Talent Bottlenecks

Netflix deployed artificial intelligence across 300 titles as it expanded production spending in Japan to bypass local network constraints. Company executives confirmed the strategy in October 2026.

The streaming platform offers higher budgets and longer development schedules than domestic terrestrial broadcasters to secure original projects in Tokyo. That spending push culminated in the September 17 debut of “Plastic Beauty”, an eight-episode drama probing Japan’s cosmetic surgery sector produced under content executive Shin Takahashi.

Takahashi served as executive producer on the series. Netflix aims to commission local stories that traditional networks avoid, but an acute shortage of technical production crew across Japan continues to limit project turnaround times.

To ease scheduling bottlenecks and rein in technical costs, the streaming service embedded artificial intelligence workflows across roughly 300 productions in its global catalog. Lee Sung-gyun, senior director of APAC production at Netflix, detailed the deployment at the Busan International Film Festival during an industry panel co-hosted with the Motion Picture Association.

“Across around 300 Netflix titles, AI has actually been put to use in various ways,” Lee said. Crew teams apply machine learning to pre-visualization, concept art for production design, advance set dressing, editorial assembly, and visual effects.

Eyeline, the proprietary visual effects studio owned by Netflix, demonstrated the technology. The studio runs hybrid production pipelines that blend live-action photography with generative digital tools. On the Netflix India title “Glory”, production teams used generative visual effects to build extensive crowd sequences that tight delivery dates would have otherwise eliminated.

Rising production expenses in Asia force entertainment operators to rethink line-item budgets.


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