Seedance 2.0 Shockwave: A Collapse in Costs Across E-commerce, Gaming, and Film
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While OpenAI across the ocean seems to have pressed the "pause button" on its AI generation model Sora, China's tech giants have launched a counterattack in this field.
Recently, ByteDance's latest AI video generation model Seedance 2.0 went online, quickly igniting the internet with its advantages in multimodal input, automatic camera work, and consistency.
Feng Ji, founder of Game Science, gave a weighty judgment after deep experience: "The content field will inevitably usher in unprecedented inflation."
Feng Ji’s prediction is not alarmist.
This shockwave is rapidly spreading to industries such as e-commerce, gaming, video platforms, and film production: In e-commerce, the technological thresholds for low-end outsourcing and shooting bases have been thoroughly flattened; in gaming, the production cycle for concept verification and advertising materials has been greatly compressed, making competition even fiercer; video platforms have to further optimize distribution logic to deal with supply surges; and the traditional linear process of "shooting + editing" in film production is facing a disruptive industrial pipeline of "prompts + generation".
An industrial reshuffle regarding benefit and substitution has already begun.
Explosion of Video Productivity
In the past year, the biggest pain point for AI video has been in delivery.
Whether it’s Sora, Runway, or domestic models like Keling, or even ByteDance’s self-developed JiMeng, all face this issue. Creators are often stuck in a "card drawing" game, needing to generate dozens of times to get a few seconds of video that doesn't break down and maintains consistency.
The core breakthrough of Seedance 2.0 is its attempt to turn "showmanship" into "deliverable storytelling".
The breakthroughs in key capabilities are mainly in three aspects:
First is multimodal input. According to All-weather Technology's testing, a member user logging into JiMeng for the first time only needs to pay 1 yuan to open auto-renewal to directly use Seedance 2.0, which supports text, images, video, and audio as input reference material—almost any format you can think of can be used to generate a video.
Second is understanding narrative and learning camera work by itself. Seedance 2.0 shows "director-level" thinking, not only understanding complex narrative logic, but also automatically arranging camera language to carry out push, pull, pan, and tracking operations. Videos are no longer just simple shifts of static images but possess cinematic narrative logic.
Third is consistency of visuals. According to tests by All-weather Technology, many AI video generation apps have frequent issues with facial expressions breaking down during movement, as well as backgrounds alternating between clear and blurred.
But from demo videos, Seedance 2.0 maintains consistency of facial and visual details during subject movement, enabling coherent storytelling.
This means AI video generation is becoming a tool rather than a toy. This ability to turn video generation into a standardized industrial pipeline makes "everyone a director" no longer an empty slogan and will greatly compress video production costs.
Feng Ji uses "inflation" to describe this revolution.
"The cost of producing ordinary videos will no longer follow traditional film industry logic, and will gradually approach the marginal cost of computing power. The content field will inevitably usher in unprecedented inflation; traditional organizational structures and workflows will be completely reconstructed. Anyone who has used it will quickly understand this prediction is not alarmist," Feng Ji said.
The First Wave of Impact
When the marginal cost of video production approaches zero, business models built upon old cost structures will bear the brunt.
E-commerce, gaming, video platforms, and film production may be the first industries impacted.
The most direct tremors appear first in e-commerce.
Product display, scenario acting, and functional explanation videos essentially do not rely on complex artistic narration but rather on clear information transmission.
With the popularization of Seedance 2.0, the threshold for merchants to obtain video expression ability has been thoroughly flattened. Low-end video outsourcing companies and Taobao shooting bases, which survived by "information gaps" and "technical thresholds", face a bleak winter; video production might shift from professional outsourcing services to merchants' daily operations.
Compared to e-commerce, the impact of AI video generation models on games might be relatively limited for now, but the revolution has started silently.
The costs of world view enactment, concept verification, and advertising material videos are dropping exponentially. More projects will be validated earlier—and eliminated earlier.
An insider from a Beijing game company told All-weather Technology that they’ve started small-scale testing of Seedance 2.0 internally.
AI video generation models are also changing the distribution logic of video platforms.
For platforms like Douyin and Kuaishou, models like Seedance 2.0 bring an explosion of content supply, forcing core competitiveness to shift entirely to "selection and distribution" mechanisms—for example, whoever’s algorithm can more accurately sift gold out of massive AI-generated content, and whoever can convert commercially most efficiently is the winner.
In film and TV, Seedance 2.0's multi-shot narrative ability may reshape production workflow.
Traditionally, a film or TV work is created via a strict linear industrial process: first shoot大量素材, then editors later select and assemble to build narrative logic.
But in Seedance 2.0’s logic, this boundary is blurring.
During shooting, future set scenes may be generated at low cost by AI models; the model itself understands camera work and narrative rhythm, so when generating the video, it actually completes the "editing" simultaneously.
AI no longer just spits out scattered footage, but directly delivers a "finished film" with coherent time-space relationships.
This means the traditionally time-consuming post-production editing segment in film may face disruptive "dimensionality reduction" by algorithms.
The future creative workflow may no longer be "shooting + editing", but "prompt + generation", and editors' roles will shift from "operator" to "instruction engineer" or "aesthetic gatekeeper".
Although videos generated by Seedance 2.0 are not yet perfectly flawless—details in logic and visuals need improvement—the speed of technological iteration far exceeds market expectations, so these issues will not be an obstacle in the near future.
The "Moat" of IP
Seedance 2.0's astonishing "replication" ability brings creative pleasure to ordinary people, but also unprecedented pressure for copyright holders.
Recently, numerous "secondary" creations and even parody clips of Stephen Chow’s classic movies have gone viral on short video platforms.
With AI video generation model computing power, Stephen Chow's facial expressions, iconic laughter, and classic catchphrases are widely mimicked at low cost by users, even generating absurd plots that never happened.
This quickly caught the attention of Stephen Chow’s team.
Chow’s agent Chen Zhenyu publicly questioned: "I’d like to ask, does this count as infringement (especially with massive spread these days)? Surely the creators are profiting, and is the platform allowing users to generate and release unchecked?"
This challenge reveals the copyright anxiety of the AI era, but looking deeper at business logic, it inversely proves the extreme scarcity of top IP in the AI age.
In the coming flood of AI-generated content, technology itself is no longer a barrier, because everyone owns the same Seedance 2.0 tool.
The real barrier remains in the hands of IP owners.
It’s precisely because the market is flooded with "high imitation" versions of Stephen Chow that the "real Stephen Chow" IP is irreplaceable.
When content supply is not only excessive but also "inflated", user time and attention become more valuable than ever. Those able to capture user attention instantly are still the classic IPs proven over time with strong emotional resonance.
In other words, AI lowers the threshold for creation, but infinitely raises the value of "recognizability."
For IP owners, the future remains bright. IP assets accumulated over years will no longer just be infringed objects, but can, via official licensing and countless creators leveraging AI, realize exponential growth in business value.
From OpenAI’s release of Sora 1.0 in February 2024 as the world’s first AI video generation model supporting up to 60 seconds, to ByteDance’s Seedance 2.0 now achieving multimodal input and generating a 60-second native audio narrative blockbuster, only two years have passed.
In such a rapidly developing era, all industries stand at a crossroads: operational costs are being infinitely compressed, jobs relying on repetitive, labor-intensive work will be ruthlessly replaced; simultaneously, the value of IP and creativity is being infinitely amplified.
When tools become readily available, what defines the height of content is no longer whether one can use software, but whether their vision of the world is unique enough.
Risk Warning and DisclaimerThe market carries risks, and investment must be cautious. This article does not constitute personal investment advice, nor does it take into account unique investment goals, financial situations, or needs of individual users. Users should consider whether any opinions, perspectives, or conclusions in this article fit their particular circumstances. Investments made accordingly are at your own risk. ```