Contemporary Digital Art
When the Artwork Owns Itself: The Strange Logic of NFTs and Generative Art
For the first time in history, a piece of art can be programmed to pay its creator every time it changes hands — which raises the question of whether the artwork is now working for the artist, or the other way around.
The Idea
Digital art has always had a provenance problem. A JPEG is infinitely copyable, perfectly reproducible, and entirely indifferent to ownership — which made the idea of 'collecting' it feel slightly absurd. Then blockchain technology arrived and did something conceptually strange: it didn't make digital files scarce, but it made the record of ownership scarce. An NFT (non-fungible token) is not the artwork itself; it's a cryptographic certificate that says who holds the 'original' — even when anyone can right-click and save an identical copy. But the more interesting development isn't the speculative frenzy that followed. It's what happened when artists started using smart contracts — self-executing code embedded in the transaction — to do things no physical artwork could ever do. A painting sold at auction earns its creator nothing on resale. A smart contract can be written so that every future sale automatically routes a percentage back to the artist, forever. The artwork, in a sense, becomes a perpetual revenue instrument. Generative art pushes this further still. Artists like Dmitri Cherniak or Tyler Hobbs don't create individual pieces — they write algorithms that create them. The collector who mints a work from a generative series receives something that has never existed before and will never be made again, conjured by code the artist wrote but didn't fully predict. The line between author and process becomes genuinely difficult to locate.
In the World
In December 2021, Tyler Hobbs released 'Fidenza' — a generative art project on the Art Blocks platform, where collectors pay to mint a unique output from an artist's algorithm without seeing the result in advance. Hobbs had written code that drew flowing, colourful curves influenced by simulated fluid dynamics. Each of the 999 minted pieces was algorithmically distinct: some dense and chaotic, others sparse and architectural. Hobbs had set the rules; chance and code did the rest. What followed was a demonstration of how radically the market had shifted. Individual Fidenzas resold for eye-watering sums — some changing hands for what would be, in any currency, a significant professional salary. The works weren't prized because Hobbs had laboured over each one. They were prized because the algorithm was elegant, because the outputs were genuinely varied and beautiful, and because the system of provenance was verifiable on-chain. Hobbs was open about his uncertainty during the process: he ran the algorithm thousands of times before the public mint and was still surprised by what emerged at scale. This is the peculiar authorship of generative art — the artist designs a possibility space rather than an object. Some in the traditional art world found this troubling; others recognised it as a continuation of something Sol LeWitt had started in the 1960s when he argued that the idea is the machine that makes the art. Hobbs had simply made the machine more literal.
Why It Matters
It's tempting to file this all under 'tech hype that got out of hand' — and parts of it did. The speculative bubble around NFTs in 2021 and 2022 had all the hallmarks of a gold rush, complete with the inevitable crash. But dismissing the whole phenomenon on those grounds is like dismissing cinema because early films were shown at fairgrounds. What persists, once the noise settles, are genuinely new questions about authorship, originality, and what we actually value when we value art. If a beautiful output emerges from an algorithm, who made it — the programmer, the code, the random seed? If an artwork can enforce its own resale terms through embedded contracts, does that change the relationship between artist and market in ways that matter beyond the digital sphere? These aren't abstract puzzles. They are sharpening debates about creativity and labour that apply far beyond screens and tokens. The next time you encounter any artwork — digital or not — it's worth asking what invisible systems of ownership and attribution surround it, and who those systems were designed to serve.
A Question to Ponder
If an algorithm you wrote produced something more beautiful than anything you could have made by hand, would you feel like its author — or its curator?
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