무슨 일이 일어났나요?
Tech in Asia reports that Vidio plans to release six AI-generated animation titles in 2027, compared with two expected titles in 2026. Vidio launched its first AI-generated animation series, Keluarga Somat, in February and plans to release Chick ‘N Chik in October, according to the report. The company began experimenting with AI-generated content in September 2025.
Tech in Asia reports that Vidio, an Indonesian streaming platform, intends to release six AI-generated animation titles in 2027. That would represent a larger planned output than the two titles the company expects to produce in 2026. The report presents the target as part of Vidio’s broader effort to use artificial intelligence in content production, rather than as the launch of a new consumer-facing AI product. The six planned titles are all animated; Vidio is separately exploring AI-generated live-action content and shorter microdramas, according to Tech in Asia.
Tech in Asia reports that Vidio released its first AI-generated animation series, Keluarga Somat, in February. The series also aired on Mentari TV, a local channel under the Emtek Group conglomerate. Vidio chief product officer Hadikusuma Wahab told the outlet that the company’s second AI-generated title, Chick ‘N Chik, is scheduled for October. The report says Vidio began experimenting with AI-generated content in September 2025 and spent five months producing each of the first and second seasons of Keluarga Somat.
The company has also built an internal production platform called VidioGen, Tech in Asia reports. The platform lets Vidio’s team generate images, characters and videos, collaborate on projects and monitor production costs. Vidio uses Google’s Veo and BytePlus’s Seedance models for its AI-generated titles. The report does not specify which model is used for which production task, whether Vidio fine-tunes or otherwise modifies those systems, or what licensing and rights arrangements govern the resulting material.
According to Tech in Asia, Vidio’s AI content team has grown from two people when experimentation began to around 20 people. The company plans to expand that group to roughly 40 to 50 people while working toward the 2027 target. Wahab told the outlet that producing an episode can take three to five days, but revisions and television-level quality control can extend the process to about a week. The report does not independently verify the production times, team size or planned hiring.
왜 중요한가요?
The report provides a concrete example of a streaming platform using as part of a commercial animation workflow rather than presenting it only as a prototype. Vidio says its AI production reduced costs by around 30% to 40% compared with conventional animation, although the company did not provide supporting financial details. The case also shows that AI production remains dependent on human creative and quality-control work.
The report matters because it documents AI being incorporated into an operating media business with an identifiable production pipeline, named tools and a stated commercial objective. Vidio is not describing AI as a complete substitute for a conventional studio process. Instead, the company is using it to increase the amount of animation it believes it can produce, while retaining people for key creative and review functions. That makes the example more practically relevant than a general claim that could change entertainment.
Tech in Asia reports that Wahab estimated AI reduced production costs by around 30% to 40% compared with conventional animation production. That estimate could be significant for a streaming platform because animation often requires substantial labor and repeated production work. However, the article supplies no cost baseline, accounting method, episode budget, labor comparison, revenue figures or independent assessment. The reported saving should therefore be treated as Vidio’s estimate, not as an established industry .
The commercial evidence described by the report is also limited but concrete. Wahab told Tech in Asia that Keluarga Somat attracted around 20 brand placements in its first season and was profitable, while declining to disclose details. Those claims suggest that the project has generated at least some commercial interest, but they do not establish its total revenue, margins, audience size, retention, completion rates or performance relative to conventionally produced programming. Without those measures, it is not possible to determine how broadly the economics will generalize.
The report also highlights a likely role for platforms as selectors and quality gatekeepers. Wahab said streaming services may need to filter and curate a larger supply of AI-generated titles so viewers receive programming that meets their expectations. Vidio’s continued reliance on scriptwriters, creative directors, editors and quality-control staff indicates that faster image or video generation does not remove the need for narrative judgment, consistency checks and editorial decisions. The article does not provide information about disclosure labels, copyright clearances, performer consent or safeguards against unwanted imitation.
대화형 메커니즘: 실제로 작동하는 방식
이 개발의 이면에 있는 기본 기술을 대화식으로 살펴보세요.
crm_get_transaction(id='4092').A route planner searches possible journeys using explicit rules. What does this illustrate about AI?
다음에 무엇을 볼 것인가
Vidio’s six-title target is a forward-looking company plan, not a confirmed release schedule. Key unknowns include the titles, release dates, audiences, budgets, production economics and whether the reported cost savings persist at larger scale. It is also unclear how viewers, television partners and advertisers will respond, and how Vidio will handle rights, disclosure and quality standards for AI-generated content.
The most immediate test is whether Vidio releases Chick ‘N Chik in October and whether it can move from two expected titles in 2026 to six in 2027. The supplied report gives no detailed release calendar, title list beyond the second project, episode counts or distribution plans for the six future productions. Because the target is an aim reported from a company executive, it should not be treated as a guaranteed outcome. Future coverage should distinguish completed releases from internal plans.
A second test is whether the claimed production advantage survives revisions and broadcast-quality review. Vidio says an episode may be generated in three to five days but can take about a week after revisions and quality control. That distinction is important: generation speed alone may not determine the total cost or schedule if teams must correct character continuity, visual errors, story problems or other production defects. The source does not provide independent testing of quality, viewer satisfaction or production efficiency.
The scale-up will also show whether Vidio’s human-centered workflow changes as output increases. The company plans to grow its AI content team to around 40 to 50 people, but the report does not say how those roles will be divided among writing, art, technical production, editing, rights management and review. It is unknown whether additional staff will reduce bottlenecks, create new oversight needs or change the reported cost structure. The use of Google Veo and BytePlus Seedance may also raise questions about vendor dependence and licensing terms that the article does not answer.
Finally, observers should watch how Vidio handles the broader move beyond animation. The company is exploring AI-generated live action, microdramas, daily soap operas and feature films, but these are exploratory directions rather than announced releases in the source. More demanding formats could involve different creative, legal and audience expectations. The current report provides no evidence that Vidio has solved those issues, and no independent confirmation of its financial claims or future production target is included.