Thoughts behind GPT-4o Picture Generation: When NFT becomes a style of painting

After the GPT-4o image generation function is launched, you only need to upload an NFT image and enter the instructions of "Ghibli Style" or "Cyberpunk" and the AI ​​can instantly transform it into a brand new visual form. Of course, you can turn the Curry avatar into an Azuki style. So, what impact and impact will the development of AI have on NFTs at the moment?

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Style is ownership

The core value of NFT has been built on “verifiable scarcity” and a unique community of holders in the past few years. Whether it is the emergence of CryptoPunks or BAYC, it is basically designed to design a set of traits, use algorithms to generate a limited number of "unique combinations" and give them social identity attributes. However, GPT-4o's image generation ability may be the driving force for the expansion of NFT styles - will we usher in an era of style, that is, on-chain ownership?

Taking Azuki as an example, its iconic Japanese comic-style profile will be regarded as a cultural symbol. Nowadays, users only need to enter "Azuki Style" and upload any image to generate this style image immediately, and use the "meme" image to drive the increase in the spread on social media.

According to bitsCrunch data, the Azuki series floor price has fallen by about 44% from its highs in the same period last year, while other head NFTs have also fallen a lot from their highs. However, with the generation style of AI, coupled with the launch of later films and works, will NFT develop in "style ownership"?

Data source: bitscrunch.com

The game between practicality and bubbles

It is no accident that the volume shrinks in the NFT market. The market rebounded briefly in December 2023, mainly due to the hype of Bitcoin Eco-Inscription NFT. According to the statistics of bitsCrunch in the past six months, in December 2024, a new wave of incremental growth was brought about by traditional PFP projects. By March 2025, monthly transaction volumes had fallen back to US$110 million, with most of them focusing on projects that are strong community operations and entity-enabled.

Data source: bitscrunch.com

However, we need to note whether the value of NFT also needs to shift to “unautomated experiences” when AI can easily replicate the style—such as offline entitlements, in-game utility, or in-depth binding of community consensus.

From "static ownership" to "dynamic co-creation"

GPT-4o has brought impact on many scenarios, but it has also given rise to new possibilities. Although "dynamic NFT" was widely discussed as early as 2021, with the improvement of AI tools, more imagination can be brought. For example, holders are allowed to modify the PFP style in real time through AI tools, but each modification will be recorded on the chain to form a traceable creative history. This model transforms NFT from a "stubborn avatar" to a "live artistic co-creation process", thus giving birth to new changes in IP. At the same time, the openness of blockchain allows anyone to grab the on-chain image data for training. The future game will also turn to "style patentization". **
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Conclusion

In the long run, the AI ​​technology represented by GPT-4o may force the NFT industry to undergo a fundamental transformation and may also bring about a new wave. NFT can become a more generalized "metadata container" that exists only as a stake credential, and its visual representation is generated in real time by users through AI. For example, in the music NFT field, 80% of the album cover is generated by the holder's custom co-creation, but the playback rights and revenue rights are still anchored to the original NFT. The end of NFT may not be dying, but evolved into a more complex network of value—when styles can form an ownership, real scarcity will return to human needs for community belonging, participation, and continuous narrative.