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AI in image creation: where is the boundary?

Using AI to generate ideas is wise, but completely handing over brand identity to machines is a risk that many business owners have yet to recognize.

Quick summary

AI excels at generating images during the initial brainstorming phase, creating visual direction boards, and quickly exploring multiple directions in the discovery stage. The hard boundaries lie in three areas. First, machine-generated outputs are difficult to copyright like human works (according to U.S. guidelines, for reference only). Second, machine-generated images can easily resemble the styles of other brands using the same tools. Third, machines are not yet precise enough to finalize core identities that require high brand accuracy. At the final stage, human creative intervention is necessary.

Quick comparison
You should choose this direction when
  • quickly brainstorm ideas and create inspiration boards
  • explore multiple visual directions during the discovery phase
  • internal content that does not require protection
Not needed when.
  • core brand assets that need copyright protection
  • primary identity requires high accuracy
  • need exclusive ownership of images
Quick glance
Commonly used industries
advertisingmediafashionEntertainment.

AI-generated images are no longer a topic of debate; they are being used practically in many studios and creative teams. The real question is where it is reasonable to use them and where it is necessary to stop. This article presents three boundaries that you need to understand before incorporating AI into your brand image creation process.

AI performs best in the exploration phase.

Brainstorming initial ideas, creating visual direction boards, and quickly exploring multiple directions in a single working session. This is where AI truly saves time and expands the scope of exploration. Instead of spending days sketching by hand or searching for references, the creative team can use AI to ask visual questions: "What does this direction look like? How about this one?"

The value here is to help accelerate the phase when drafts are still vague and do not require high brand accuracy. The creator still plays the main role, with AI providing support. When exploring directions, using AI to quickly assess multiple possibilities is a reasonable choice.

The first boundary: copyright and intellectual property.

This is the boundary that many business owners overlook. According to the U.S. Copyright Office (2025, foreign guidelines, for reference only), works generated by AI are not protected as human-created works. Only the creative contributions of humans can be protected, and simply inputting a prompt into the machine is not enough to establish copyright. In Vietnam, the amended Intellectual Property Law of 2025 (effective from 01/04/2026) only protects works created by humans, while AI-assisted contributions are awaiting government guidance. Therefore, for important assets, you should consult an intellectual property lawyer instead of relying solely on this article.

This means, in practical terms: if you use original machine-generated images as brand identity, that asset is very difficult to protect as a proprietary work. Anyone can issue a similar command and receive nearly identical results. Conversely, if the creator intervenes deeply, edits, restructures, and makes substantial aesthetic decisions in the output, that contribution has grounds for protection.

Moreover, the training data of many AI tools may carry the risk of copyright claims from third parties. This is a legal area still being addressed and lacks clear conclusions, so caution is needed when using AI outputs for assets with high commercial value.

The second boundary: the risk of style overlap.

AI image generation tools are trained on common data, so the results naturally gravitate towards familiar and uniform areas. Research published in Science Advances (Doshi & Hauser, 2024) shows real evidence that AI is making human creative output more homogeneous.

For brands, this poses a direct risk. If you use the same tools as many other brands in the industry, the output images are likely to share similar styles. This diminishes the visual distinctiveness you are trying to build. Therefore, AI should only serve as a starting point, while the final identity needs to be pushed further by a human creator.

The third boundary: the accuracy of the brand at the final stage.

In the final identity stage, the requirements are correct colors according to the established color system, precise proportions, and consistent identity details across multiple applications. This is an area where machine-generated outputs are not yet reliable enough to be entrusted.

Using AI: brainstorm ideas, create inspiration boards, and quickly explore multiple visual directions in the discovery phase. Save time, expand the scope of exploration, suitable when drafts are still vague.

No AI delivery: The final core identity (logo, identity system), assets needing copyright protection must be certain, and official printed images require high brand accuracy.

Using AI as a tool to support the creative process of humans does not diminish the copyright of the entire work. Only the creative contributions of humans can be protected.

U.S. Copyright Office, Copyright and Artificial Intelligence Part 2 (2025)

Transparency about the role of AI in the process is a way to build trust with customers and ensure that brand assets truly belong to the business. With AI-generated images easily mistaken for real photos, the Artificial Intelligence Law (Law No. 134/2025/QH15, effective from 01/03/2026) requires identification marks; therefore, consult legal counsel before publishing.

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Decision checklist

Topic: AI in image creation: where are the boundaries. Sinh Vũ guide, sinhvu.com

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If you have marked most of the signs above, this is the time to discuss in more detail. Sinh Vũ can help you review and propose a direction.

This article provides general information according to the documents in effect as of October 6, 2026. This is not legal advice and does not substitute for a lawyer's opinion for your specific case. Rights and obligations between Sinh Vũ and clients arise only according to the signed contract.

References

U.S. Copyright Office, Copyright and Artificial Intelligence Part 2 (2025). Doshi & Hauser, Science Advances (2024), summarized by psypost.

Frequently asked questions

Are AI-generated images protected by copyright?

According to the U.S. Copyright Office (2025, foreign guidelines, for reference only), works generated by AI are not protected. Only the creative contributions of humans can be protected, and simply inputting a prompt is not enough to establish copyright. In Vietnam, the amended Intellectual Property Law of 2025 only protects works created by humans, while AI-assisted contributions are awaiting government guidance. Therefore, for important assets, you should consult an intellectual property lawyer. If you need exclusive rights to images, AI outputs should involve sufficient creative intervention, not just the machine's raw output.

Is it acceptable to use AI to create logos or brand identities?

The risks are twofold: copyright is difficult to protect, and machine-generated images can easily resemble the styles of other brands using the same tools, reducing distinctiveness. A cautious approach is to let AI participate in the initial brainstorming phase, while the final version should pass through the hands of a creator with enough intervention to create a unique mark and establish a basis for protection.

Does using AI in the process compromise copyright protection?

Not necessarily. If AI acts as a supportive tool and the creator makes substantial creative contributions to the work, protection can still apply to that contribution. The key boundary is the level of human creative intervention: the deeper it is, the stronger the basis for protection.

This article is for reference. The scope, pricing, and specific commitments of Sinh Vũ are detailed in the proposal and signed contract.

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