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A for Effort: How AI Upends Copyright Law

This article explores how AI transforms the economic logic of copyright law. Historically, copyright protected expression, not ideas, because first expression was costly. AI makes expression cheap, making ideas, taste, and judgment relatively more valuable. The author uses the example of Raphael's tapestries to illustrate how changes in reproduction costs affect the need for copyright.

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Shruti Rajagopalan

Jun 05, 2026

Last week I stood in front of three tapestries at The Met, each more than fifteen feet tall, and woven from Raphael’s original designs decades after his death. It got me thinking about how AI fundamentally inverts the economic problem copyright law was built to solve.

The Raphael: Sublime Poetry exhibit culminates with the replicas of three of Raphael’s famous tapestries and their fascinating story. Soon after his election in 1513, Pope Leo X set Raphael to design a series of ten tapestries for the Sistine Chapel, the Acts of the Apostles, to hang below Michelangelo’s ceiling. Raphael and his workshop spent 1515 and 1516 painting the full-scale cartoons, the working designs, on pasted sheets of paper, detailed enough to be turned into wool, silk, and metal thread. Seeing the drawings and preparatory studies displayed at the exhibit is a small sample of the herculean effort. Before weaving, they would be rendered in reverse, because the loom would flip them.

Raphael was paid about a thousand ducats for the designs. The weaving in Pieter van Aelst’s Brussels workshop cost around fifteen thousand more, enough that Leo’s spending left the papal treasury in debt by the time he died.

That is the cost of the first tapestries, one that almost bankrupted the famously profligate Pope Leo X.

A few rooms on, the exhibit hangs three of those tapestries, woven not for the Vatican but for Philip II of Spain in the late 1540s or early 1550s, a generation after Raphael’s death, from a second weaving of his designs by Jan van Tieghem and Frans Gheteels. The three — The Miraculous Draught of Fishes, Christ’s Charge to Peter, and Paul and Barnabas at Lystra — are on loan from the Spanish royal collection and had never been shown outside Madrid until now. The original cartoons Raphael’s own hand had worked were not there, since the surviving ones have hung in London at the Victoria and Albert for over a century, but these were woven from the same compositions. Three exquisite tapestries, but copies of Raphael’s original design.

Standing in front of these extraordinary tapestries, I saw the point copyright law turns on, and why copyright law wasn’t needed to protect Raphael. These tapestries were cheaper than the first set, because the design had already been done and paid for. But they were not cheap. Reproducing the work meant another team of weavers, another loom, another year, another fortune in thread. When the only way to copy a thing was to make it again almost from scratch, with enormous human effort and mastery over the loom, the copy cost nearly as much as the original. No one needed a law to stop it, because the expense stopped it. In fact, only the most extraordinary works of art would be replicated because of the cost, and it made more sense to credit the master to justify the expense. The value of these tapestries increased by crediting Raphael, not denying him.

Copyright became necessary only when replication got cheap, when the printing press and the engraving could throw off a Raphael composition for the cost of paper and ink, no workshop of artists, no loom, no weavers. It is with these changes in technology that the first original effort needed protecting, because that is the moment it could be taken for nothing.

AI is another technological disruption, but instead of making copying cheaper, it makes the first expression cheaper.

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Expression, not Ideas

Copyright protects the way something is written, drawn, or sung, but not the inherent idea that is expressed. One can own one’s sentences. No one can own the broader point made by their sentence. If written today, “To be, or not to be, that is the question” would be protected by copyright. But Hamlet’s core story – a young prince whose father, the king, is murdered by a treacherous uncle who seizes the throne, until the prince returns to avenge his father and reclaim what was taken – is not protected by copyright. Which is just as well because it is also the story of The Lion King.

The reason the law is designed this way is that writing something original the first time is expensive and copying it afterward is cheaper. If the law let anyone sell copies the moment a book appeared, the price would fall to the cost of copying and the author would never earn back the cost of writing, so the book would not get written. Copyright solves this by giving the author a monopoly over copies for a limited time, which holds the price high enough, for long enough, to pay for the first original effort. That is the case for protecting expression. Protect the expression and writing can be compensated. Protect the idea and most writing becomes impossible. Copyright law trades off between those two, protecting the words, and therefore the effort, and freeing the idea. The whole structure depends on the effort and cost of writing or drawing or expressing something original for the first time, because that is where the law placed its protection.

When copying was expensive, copyright protection was not required. Technological changes made it necessary.

The first modern copyright law, the Statute of Anne, passed in England in 1710 under the title of an act for the encouragement of learning, set the shape every system since has kept. It gave the author the sole right to print a work for a limited term, the famous fourteen years renewable once, and then let the work fall to everybody. A monopoly over copies, held long enough to pay for the first effort, incentivizes that effort of writing. There is a matching danger on the other side. If the monopoly reached the idea and not only the words, every later writer would also need a license to use the idea. But almost everything that gets written is made out of ideas taken from somewhere else. Protect the expression and writing pays for itself. Protect the idea and writing is shackled.

What did the courts protect?

For centuries the courts have argued over where the line between idea and expression falls, and they have placed the idea on the free side again and again, even when the idea was expensive to reach. In 1879 the United States Supreme Court decided Baker v. Selden setting the tone for copyright protection. Charles Selden had published a book setting out a bookkeeping system, a method of condensing a firm’s accounts onto a single page. A competitor named Baker used the same system with the columns rearranged. Justice Bradley, writing for the Court, let Selden keep his version of the book and freed the idea/system of bookkeeping. Anyone could keep accounts Selden’s way, because the method was an idea and ideas are open to all, while the particular pages Selden had written to explain it were expression and his alone. He owned the way he taught the system of bookkeeping. He did not own the system of bookkeeping. For that, he would need a patent.

In 1930 Judge Learned Hand, of the federal court of appeals in New York, drew the line for stories in Nichols v. Universal Pictures. Anne Nichols had written a long-running play about a Jewish son and an Irish Catholic daughter who marry over the furious objections of both fathers and reconcile them with a grandchild. A studio made a film with the same quarrel and the religions reversed, and Nichols sued. Hand described a series of abstractions climbing from the full text of a work up to its barest theme, and held that at some point on the way up the thing stops being protected expression and becomes an idea anyone may use. The feuding fathers of rival faiths were stock figures, the sort any writer reaching for this story would land on. Nichols had thought of it first, Hand wrote, but having found the vein she could not keep it to herself.

The protected side of copyright law is narrow, and two cases show how closely the courts hold it. In 1936, six years after the Nichols case, Learned Hand and the same New York court decided Sheldon v. Metro-Goldwyn Pictures, where the playwrights had built a stage drama out of a real Victorian murder trial, the case of Madeleine Smith, which was public property and open to anyone. When a studio that had failed to buy their play made a film based on the same trial, Hand found infringement even though the underlying story belonged to the world, because the film had done more than retell the historical events, reproducing the dramatic inventions the playwrights laid over the history, the confrontations, the order of the scenes, the contrivance that saves the heroine, none of it in the trial record, so that the murder was the idea, free to all, while the dramatic arrangement the playwrights built on it was expression and theirs.

The same instinct guided the Supreme Court in 1985, when Justice O’Connor, writing in Harper & Row v. Nation Enterprises, leaned on the side of protection. Gerald Ford had written a memoir explaining, for the first time, why he pardoned Nixon and his publisher had sold Time the right to run that passage before the book appeared, for twenty-five thousand dollars, until a leaked manuscript reached The Nation, which printed about three hundred of Ford’s own words ahead of Time and killed the deal. The Court called it infringement even though three hundred words out of a manuscript of two hundred thousand is almost nothing by volume, because those words were the heart of the book and the author held the right to decide when his own expression first appeared, so that The Nation had been free to report that Ford pardoned Nixon and why, which was news and belonged to no one, but could not take the way Ford had written it.

The courts have largely left ideas free and intervened when they are literally copied, like 300 of Ford’s own words, or when the first original expression was worth protecting, like Sheldon’s play. The goal is to protect effort that was required for originality, but not just effort alone. When a company copied the listings out of a rival’s phone book, the rival sued on the strength of all the work that compiling the directory had taken, and in Feist Publications v. Rural Telephone Service in 1991 the Supreme Court turned the claim down. Justice O’Connor, writing for the Court, rejected the old ‘sweat of the brow’ theory that effort alone could earn a copyright, holding that what the law protects is originality, the spark of selection and arrangement an author brings to the material. An alphabetical list of names and numbers carries none of that, however many hours went into gathering it.

For centuries copyright law has walked the tightrope of balancing originality, the effort that goes into original expression, without stifling new ideas.

Protecting Expression in the AI era

AI takes that rule and turns it inside out, because the thing a Large Language Model produces for almost nothing is complete poems, stories, art, music. The cost of expression, even the first time, is very cheap. And this has not yet taken center stage. All the attention on AI and copyright law cases is framed around how these models were trained on expressions written by the effort of thousands of humans, often without permission or paying royalties. The existing lawsuits over training data raise a separate question about inputs. The concern I have in the longer term is with the outputs. What happens when a machine can produce a new paragraph, image, or song at almost no marginal cost? If we take copyright law and apply it to the outputs of LLMs as we do with humans, then unless the LLM spits out almost the same words in the same order, it is not a copy. Even if the words are about the internal conflict of a young prince in iambic pentameter.

But what has now become costly and valuable is the idea that is worth expressing. Large Language Models can express for cheap, making the idea, taste, and judgment relatively more valuable. AI will soon be able to generate ideas, without human prompting. And some of these ideas will be great,

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