AI in image creation: where is the boundary?

AI-generated images are no longer a topic for debate; they are being used in many studios and creative teams. The real question is: where is it reasonable to use, and where is it necessary to stop? Sinh Vũ will directly address three boundaries you need to understand before integrating AI into your brand image creation process.

AI performs best in the exploration phase.

Draft concepts, create mood boards, quickly explore multiple visual directions in the same working session: this is where AI truly saves time and expands the scope of exploration. Instead of spending days sketching or searching for references, the creative team can use AI to ask visual questions: "What does this direction look like? How about that one?"

The value here is not to replace the creator, but to accelerate the phase when the draft is still vague and does not require high brand accuracy. When exploring directions, using AI to quickly evaluate 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), works generated by AI are not protected like human-created works. Only the creative contributions of humans can be protected, and simply inputting a prompt into a machine is not enough to establish copyright.

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 is a direct risk: if you use the same tools as many other brands in the industry, the output visuals can easily blend in style, reducing the visual differentiation you are trying to build. This is why AI should not be the cornerstone of identity, but rather a starting point for creators to push further.

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

In the identity finalization stage, the requirements are for colors to match the established color system, accurate proportions, and consistent identity details across multiple applications. This is an area where machine-generated output is not yet reliable enough for complete handover.

The viewpoint of Sinh Vũ

Sinh Vũ uses AI in the sketching and exploration phase, not delegating the core identity creation to the machine. The final version always passes through the hands of a creator with enough intervention to create a unique mark and have a basis for protection.

The reason is not to oppose new tools. The reason is: brand identity is a long-term asset that needs sustainable differentiation and protection. Machines excel in speed and exploration, while professionals excel in judgment, editing, and accountability for the final results.

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)

Being transparent about the role of AI in the process is something Sinh Vũ considers a professional responsibility. Not because it is mandatory, but because it builds trust with clients and creates brand assets that truly belong to you.