Does AI video generation have copyright? 5 questions you must understand before commercial use in 2026

Does AI video generation have copyright? 5 questions you must understand before commercial use in 2026

As the capabilities of AI video tools such as Sora 2, Veo 3, Runway, Keling, and Jimeng have greatly improved, more and more self-media bloggers, small brands, advertising companies, and educational institutions have begun to use AI-generated video clips directly into their own content. Short video titles, advertising materials, product demonstrations, concept films, and teaching images are all generated in a few minutes and put on the platform for dissemination. It looks amazingly efficient and extremely low-cost. But if you think about it a little deeper, you will find that there is an unavoidable question hidden in this. Is there any copyright in the video generated by AI? Is there any legal risk when using it commercially? This question cannot be answered intuitively. It involves not only the current status of copyright ownership of the generated content itself, but also the compliance disputes of model training data. It also involves differences in user agreements between different platforms and differences in judicial practices in different countries. This article sorts out the 5 most frequently asked core questions based on the current situation in 2026, so that creators who want to do commercial use can calculate their accounts clearly before doing it, instead of only realizing that they have stepped on a mistake after using it.

The current status of copyright ownership of AI-generated videos, the differences between China and the United States are obvious

The first basic question that cannot be avoided is who owns the copyright of the AI-generated video itself. The judgment logic of this matter is quite different in different countries, and a unified answer cannot be applied to all regions. In the United States, multiple guidelines issued by the Copyright Office in the past few years tend to believe that content that is completely automatically generated by AI and lacks sufficient human creative contributions does not enjoy copyright protection. Only when humans make substantial creative contributions to the generation process, such as writing creative prompts, performing substantial post-editing, and making key choices and trade-offs, can some of the generated content be copyrighted. This line means that if you just enter a simple prompt word and let AI generate a video for commercial use, under the legal framework of the United States, this video may not be claimed as a copyrighted work by you alone. In theory, others can also use it. In China, judicial practice has seen cases in which certain AI-generated content is protected by copyright. The core logic is to see whether humans have made original intellectual investments in the generation process, such as repeatedly adjusting prompt words, combining multiple generation results, and making aesthetic judgments and choices. The differences between the two sides determine that the legal status of the same AI-generated video in China and the United States may be completely different. This is the first thing that must be clarified before commercial use. As for the specific laws that apply to your own case, local laws and professional legal opinions shall prevail.

What does the platform user agreement say? Each company’s rules vary greatly.

Leaving aside the national legal level of copyright ownership, whether you can commercially use AI to generate videos depends on how the tool you use has written its own user agreement. The regulations of each company are more different than imagined. Different platforms such as OpenAI, Anthropic, Google, Runway, Keling, Jimeng, and Pika have their own terms and conditions regarding the ownership, commercial authorization, and restrictions of the generated content. Some platforms clearly grant the ownership or use rights of the generated content to users. Some platforms retain some rights to the generated content. Some platforms clearly distinguish the commercial rights of the free version and the paid version. Some platforms have additional restrictions on materials involving real person portraits, brand trademarks, and sensitive content. To find out specifically whether a certain tool can be commercially used, what is the scope of commercial use, and whether there is a payment threshold, you can only check the latest terms on the official public page of the tool itself. This matter usually appears in internal documents in chapters such as "Terms of Service", "Terms of Use" and "Service Agreement". Keywords include ownership, commercial use, commercial authorization, and content attribution. Don't believe the casual statement in the short video review that "such and such a tool can be used for free for commercial use". The terms are dynamically adjusted, and it is safe to refer to the official page.

Commercial risk points, several dimensions that must be self-examined before launch

Putting aside the complexity of the legal and agreement levels, what really determines whether a commercial operation will cause trouble is whether the project itself triggers common risk points. The first type of risk is real portraits. The prompts mention specific celebrities, public figures, and private portraits to generate pictures. In most jurisdictions, portrait rights are involved. No matter whether the model is restored successfully or not, it is not recommended for commercial use. The second type of risk is brand trademark. The real brand logo, trademark, and product appearance appear in the generated screen, which may involve trademark rights and unfair competition. Advertising materials are particularly sensitive. The third type of risk is IP derivation. The prompt words directly call the names of movie, animation, and game characters to allow the model to generate corresponding images. Without authorization, it is an area with high risk of infringement. The fourth type of risk is platform content review. Even if there is no problem at the legal level, each major delivery platform has its own review rules for AI-generated materials. When it comes to false information, medical care, finance, minor protection and other fields, platform review is often stricter than the law. The fifth type of risk is misleading. If the photorealistic images generated by AI are mistaken by the audience for real shots, it may lead to problems such as false publicity and misleading consumption. Materials involving commercial purposes must be actively labeled. By using these five items as a self-check list before launching, most basic risks can be avoided.

Training data infringement disputes, uncertainty about AI videos from the source

Discussing AI video copyright cannot avoid the hidden line of training data. Many mainstream Wensheng video models on the market have been repeatedly discussed in the industry due to the source of training data. The core controversy is that the models used a large amount of unauthorized online video content during the training process. The creators and rights holders of these original contents did not receive permission or compensation. Regarding this matter, there have been several lawsuits and regulatory actions in the industry, and some model manufacturers are also updating their training data policies. The specific progress and judgment results are subject to the public information of local courts and regulatory agencies. The actual impact of this dispute on end users is that even if you use the video generated by the model in compliance with the regulations, if the generated result clearly borrows from or restores the identifiable elements of an unauthorized training sample, there is still a theoretical risk of being traced back by the original rights holder. There is currently no clear path to handle this risk in judicial practice. According to feedback from the industry, the probability of risk is low in most cases, but when making materials for large-scale commercial launch, it is necessary to incorporate this uncertainty into risk assessment, rather than treating it as non-existent.

Safety practice one: choose tools with clear terms and clear commercial authorization

The first way to reduce the risk of AI video commercialization is to start with tool selection. Different tools have great differences in the clarity of commercial authorization. Give priority to those tools that clearly state commercial authorization on the official public page, clearly distinguish the commercial permissions of the free version and the paid version, and clearly state the copyright ownership. Some platforms with large backgrounds are usually more standardized in terms of terms, while the terms of niche or emerging tools may be vague or change frequently. Before commercial use, you must read the terms in full and pay attention to several key points: whether the generated content belongs to the user, whether it is allowed to be used in commercial projects, whether there are restrictions on the type of generated content, and whether commercial-related compensation clauses are provided. For projects involving large-scale commercial launch and long-term brand asset construction, it is recommended to bring in legal personnel to review the terms when selecting tools to avoid problems that may arise later. When short video bloggers create daily content, the risks are relatively controllable, but don’t choose tools based solely on impressions. At least save a screenshot of the core paragraphs of the terms and conditions of the tool used, so that if there is a problem, it will be documented.

Safety practice two, artificial secondary creation of key materials to reduce the proportion of pure AI

The second safe approach is to make adjustments to the workflow and use AI-generated videos as source material rather than directly into films. Specifically, the video clips generated by AI are used as the base material, and the editing software is used for color grading, subtitles, dubbing, slicing, and mixed editing with real-shot materials, so that the final film can reflect obvious artificial creative contributions in structure, rhythm, and visual language. The legal significance of this approach is that according to the current rules in many jurisdictions, human beings' substantial creative contribution to works is a core requirement for copyright protection. Content that has undergone in-depth secondary creation is often more stable in determining copyright ownership than pure AI generation. From a content perspective, artificial secondary creation can also prevent the finished film from completely exposing traces of AI, making it easier to accept both the audience and the platform review. There is no quantitative standard for what is considered "enough" secondary creation, but the direction generally recognized by the industry is not to directly publish the original generated clips, not to allow AI content to exceed a certain proportion, and to have identifiable artificial traces on key scenes. In practice, this idea is safer than relying solely on tool terms.

Security practice three, proactive identification and platform audit compliance

The third safety practice is to proactively identify AI content and follow the platform’s review rules. In 2026, major content platforms will have increasingly clear requirements for the identification of AI-generated materials. Douyin, Video Accounts, Xiaohongshu, Bilibili, YouTube, etc. all require creators to proactively declare materials containing AI-generated content to varying degrees. Some provide special publishing tags, and some add AI content options when submitting. For commercial materials, especially advertising content, proactively labeling them according to platform rules is a basic step to avoid audit risks. Specific labeling requirements and penalty rules are subject to the official instructions of each platform, and are not uniform among them. In addition to proactive labeling, the content itself must avoid directions that are explicitly prohibited by the platform. False information, exaggerated promotion of medical care, financial inducements, inappropriate content for minors, and deepfakes of celebrities are all red lines reviewed by the platform. Even if the content is violated, the content will be removed from the shelves and even the account will be punished, even if there is no problem with the law. Putting "identification in place and content compliance" in parallel can block most risks at the platform level.

Safety practice four, leaving traces and being traceable, so you can prove yourself if something goes wrong

The fourth approach is to establish a complete trace generation mechanism so that you can prove yourself when something goes wrong. Specifically, this includes retaining key information such as the original prompt words of each AI-generated video, the tool version used, the generation time, whether it has undergone secondary creation, and the specific content of the secondary creation, and archiving this information together with the finished film. The significance of this is on two levels. First, when disputes arise at the copyright level, you can prove your creative contribution and legal use process. Second, when accusations of suspected infringement or false information arise, you can quickly clarify the ins and outs. You don’t need complicated tools to leave traces. A simple form or note-taking application is enough. The key is to develop a habit instead of looking through chat records to collect evidence when things happen. According to feedback from the industry, large brands and advertising companies have generally established internal accounts for the use of AI materials. It is also suitable for self-media bloggers and small teams to reduce the size of a lightweight version. This step may seem troublesome, but the value when something goes wrong is far greater than the usual investment.

Safety practice five: seek professional legal advice before involving large amounts of investment or sensitive industries.

The fifth approach sounds the simplest but also the most ignored. When it comes to large-scale commercial investment, long-term brand asset building, or sensitive industry materials, it is much more cost-effective to spend money to consult a professional lawyer in advance than to deal with the dispute afterwards. The field of AI content copyright is currently in a rapidly evolving stage globally. Judicial precedents, regulatory policies, and industry practices are constantly being updated. Any "standard answers" you read online may not necessarily apply to your specific project. Professional lawyers can provide targeted compliance suggestions based on your project location, target market, content type, distribution channels and other specific circumstances, and clearly list potential risk points. This kind of advice is almost irreplaceable for medium and large projects. Small-scale personal creations can rely on self-check checklists and tool terms to solve daily compliance, but as long as the project size reaches a certain level, the legal consulting fee is worth investing.

Trends and future uncertainties in 2026

After laying out these five issues, we can see that the overall situation of AI video copyright is that the legal framework is rapidly evolving, platform rules continue to be tightened, and industry self-discipline is gradually taking shape. There are several trends that can be observed. The first is that copyright agencies and legislative departments in various countries are gradually issuing special rules for AI-generated content. The directions of China, the United States and Europe are not completely consistent, but they are all moving in a clearer direction. The second is that large model manufacturers are under increasing pressure in terms of training data compliance, generated content identification, and commercial authorization transparency. According to industry feedback, each company is updating its own policies and tools to respond to these pressures. The third is that AI content review at the platform level will become more and more refined, and methods such as labeling, current limiting, derogation, and removal will become more common. For creators, these trends mean that what seems to be okay today may need to be adjusted in half a year. Commercial AI video is not a one-time deal, but a long-term matter that requires continuous attention to changes in rules. Treating this matter as a dynamic issue and regularly updating your workflow and compliance awareness is more valuable than asking for a clear answer all at once.

FAQ

Can AI-generated videos be copyrighted in China?

Yes, but certain conditions need to be met. The core is whether humans have made original intellectual investment in the generation process. In China's judicial practice, there have been cases in which certain AI-generated content has been affirmed to be protected by copyright. The core logic is to see whether humans have made original intellectual investments in the generation process, such as repeatedly adjusting prompt words, combining multiple generation results, and making aesthetic judgments and choices. If you just input a simple prompt word and output it directly, there is no obvious human creative contribution, and it will be more difficult to claim copyright. As for whether you can claim your own case and how to provide evidence, professional legal opinions shall prevail. Here we only provide directional knowledge.

Can AI videos be directly used as advertising materials?

Yes, but there are prerequisites. Prerequisites include that the user agreement of the tool used allows commercial use, the generated content does not involve high-risk elements such as real person portraits and brand trademarks, proactive identification of AI content according to platform review rules, and avoidance of content red lines such as false propaganda. For advertising involving large budgets or sensitive industries, it is common practice to reduce risks by consulting a professional lawyer in advance and retaining complete production traces. The risks of daily content publishing for small and medium-sized bloggers are relatively controllable, but they still need to complete the first few basic compliance actions. Don't skip the self-examination process completely just because they are small.

When using AI tools to generate videos, can the prompt words include celebrity names?

Not recommended. Prompt words involving specific celebrities, public figures, and private portraits will trigger portrait rights issues in most cases, regardless of whether the generated results are successfully restored. The security mechanisms of some mainstream tools will reject such prompt words. Even if the generation is successful, there is a high legal risk in using the generated results for commercial purposes. If the creative intention itself requires a similar image, a safe approach is to use a fictional character description instead of the specific name, or go through formal authorization channels to obtain the express permission of the person or the agency.

Are the commercial terms of different AI video tools really different?

The differences are indeed quite large. Each platform has its own regulations on the ownership, commercial scope, and content restrictions of generated content. Some tools explicitly grant ownership or use rights to the generated content to users, some tools retain some rights to the generated content, some tools clearly distinguish the commercial permissions of free and paid versions, and some tools have additional restrictions on materials involving real portraits, brand trademarks, and sensitive themes. Before commercial use, be sure to go to the official public page of the tool you are using and read the latest terms in full. Don't believe the uniform answers casually mentioned in short video reviews. The terms are dynamically adjusted, so it is safest to refer to the official page.

What to do if AI video content is accused of infringement

Deal with it calmly and prioritize the specific content of the accusation. Common situations include being accused of generating content that infringes on someone's portrait rights, brand's trademark rights, or copyright of original works. There are several steps to handle. First, stop the dissemination of the disputed content or remove it from the shelves to avoid the expansion of the infringement; then check your own generation traces, confirm the prompt words, tool versions, and secondary creation processes, and prepare self-certification materials; then contact the AI ​​tool platform used to confirm whether the platform terms have full support for such disputes; for disputes involving a large amount, consult a professional lawyer as soon as possible, and decide whether to negotiate a settlement or go through legal proceedings according to the specific situation. Maintaining complete records throughout the entire process, avoiding inappropriate responses through public channels, and handing matters over to standardized procedures are the keys to reducing losses.