As a visual designer and creative user, I deeply value what this technology offers. I see its flaws, but also its transformative potential. I’m a pragmatic thinker — someone who reflects on history to shape perspective. I remember the early copyright debates when Google Images launched, or the public pushback during the shift from the iconic Nokia 3210 to pocket-sized smartphones. In both cases, the results are obvious today, global adoption and userbase have provailed without a doubt, that being said, other technologies which are data-driven and rely on userinteraction or disrupt cultural ethical standards like social media platforms have initially enjoying a massive adoption when they were launched, they are still, to this day, fighting the criticism on all fronts court, information carriers, public discours, etc. From my view, their struggles are directly connected to the lack of thoughtful integration with existing social and legal structures.
We’re facing a similar moment now. There is widespread concern (sometimes rightly so) within the creative industry about AI’s role in graphic design, illustration, and applied arts. What’s missing isn’t just technical alignment. It’s trust, creative infrastructure, and authorship pathways.
Detection platforms now analyze uploaded visuals to identify the model that generated them, even post-edit. But what if OpenAI flipped the script? What if designers could explore visual iterations through a structured, branching process, assign intent and style tags, and then register or license their chosen result directly through a recognized partner system?
This would shift control back to the maker. It would strengthen creative legitimacy, and bring a layer of voluntary, transparent attribution that cooperates with existing licensing ecosystems rather than bypassing them.
In fact, such a system could revitalize the relevance of existing (individual based) copyright and IP registration companies. These institutions are often underused (in visual design, only a small fraction of creators register their work). But with an AI-powered, contextual licensing mechanism, OpenAI could offer them a new role, as integrated, user-facing protection services inside a generative workflow.