The United States Supreme Court has quietly but firmly closed a door that AI enthusiasts have been trying to pry open for years. On Monday, the nation’s highest court declined to hear the case of Stephen Thaler, a computer scientist who has spent the better part of a decade arguing that artwork autonomously generated by artificial intelligence should be eligible for copyright protection. The refusal, issued without comment, leaves intact a lower court ruling that only human beings can be authors under U.S. copyright law — a principle that now carries the weight of settled precedent at a moment when generative AI is flooding the world with synthetic images, music, and text.
The case, Thaler v. Perlmutter, has been closely watched by intellectual property attorneys, AI developers, and digital artists alike. Thaler created an AI system he calls the “Creativity Machine” and sought to register a visual work titled “A Recent Entrance to Paradise” with the U.S. Copyright Office, listing the AI system itself as the author. The Copyright Office refused the application, and Thaler sued. As Engadget reported, the Supreme Court’s denial means the federal government’s position — that copyright requires a human author — stands unchallenged at the highest level of the American judiciary.
A Decade-Long Legal Campaign Reaches Its End
Thaler is no stranger to provocative intellectual property claims. He previously attempted to list his AI system, DABUS, as the inventor on patent applications, a campaign that was rejected by the U.S. Patent and Trademark Office and courts in multiple countries. The copyright fight followed a similar trajectory. In August 2023, U.S. District Judge Beryl Howell ruled against Thaler, writing that human authorship is a “bedrock requirement” of copyright law. The U.S. Court of Appeals for the D.C. Circuit affirmed that ruling in March 2025, and the Supreme Court’s refusal to grant certiorari now ends the legal road for this particular challenge.
The implications are significant, but they are also more nuanced than headlines might suggest. The courts have not said that AI can never play a role in the creation of copyrightable works. What they have said, consistently, is that a work generated entirely by a machine — without meaningful human creative input — does not qualify for the legal protections that copyright affords. The distinction matters enormously for the growing number of artists, designers, and content creators who use AI tools as part of their creative process rather than as autonomous creators.
What the Copyright Office Has Already Made Clear
The U.S. Copyright Office has been developing its own framework for handling AI-assisted works, and its guidance has been more granular than the courts’ rulings. In February 2023, the office issued a decision regarding the graphic novel “Zarya of the Dawn,” created by Kris Kashtanova using Midjourney. The office granted copyright protection to the text and the arrangement of images — both of which reflected human authorship — but denied protection for the individual AI-generated images themselves. This case-by-case approach suggests that the line between protectable and unprotectable AI-assisted works will be drawn based on the degree of human creative control exercised over the final product.
The Copyright Office has since issued additional guidance reinforcing this position. Works that are merely prompted — where a user types a text description and an AI system generates an image — are unlikely to receive protection, because the human’s contribution is considered too attenuated from the expressive output. However, works where a human artist substantially modifies, selects, arranges, or otherwise exercises creative judgment over AI-generated elements may still qualify. This framework places a premium on the human hand in the creative process, even when powerful computational tools are involved.
The Business Stakes Are Enormous
For companies building products around generative AI, the copyright question is not merely academic. If AI-generated content cannot be copyrighted, then the vast quantities of images, text, code, and music being produced by systems like OpenAI’s DALL-E, Midjourney, Stability AI’s Stable Diffusion, and Google’s Gemini may exist in a kind of legal no-man’s-land — free for anyone to copy, distribute, or repurpose without consequence. That reality could undermine business models built on the assumption that AI-generated outputs are proprietary assets.
The advertising, entertainment, and publishing industries are particularly exposed. A marketing agency that generates campaign imagery using AI tools may find that its competitors can freely replicate those images. A publisher that uses AI to produce illustrations for books or articles may discover that those illustrations carry no enforceable intellectual property rights. The lack of copyright protection could also complicate licensing arrangements, since there may be nothing to license. As Engadget noted, the Supreme Court’s refusal to hear the case effectively cements this uncertainty for businesses that have been waiting for clearer legal guidance.
The International Dimension Adds Complexity
The United States is not the only jurisdiction grappling with these questions, and the answers vary considerably around the world. The United Kingdom’s Copyright, Designs and Patents Act of 1988 contains a provision — Section 9(3) — that assigns authorship of computer-generated works to “the person by whom the arrangements necessary for the creation of the work are undertaken.” This means that in the U.K., AI-generated works may receive copyright protection, with the human who set up and directed the AI system recognized as the author. Other countries, including South Africa, have shown openness to recognizing AI-related inventions, though the legal frameworks remain unsettled.
By contrast, the European Union has generally followed a human-authorship requirement similar to that of the United States, though the EU’s AI Act and ongoing policy discussions may eventually produce more specific rules for AI-generated content. China has seen courts grant limited copyright protection to AI-generated works in certain circumstances, adding yet another variable to the global patchwork. For multinational companies and creators distributing AI-generated content across borders, the lack of international harmonization creates a compliance headache and a strategic puzzle: the same work might be protected in London, unprotected in Washington, and subject to uncertain rules in Beijing.
The Ongoing Fight Over Training Data
While the Thaler case concerns the copyrightability of AI outputs, a separate and equally contentious set of legal battles concerns the copyrightability of AI inputs — the vast troves of text, images, and other creative works used to train generative AI models. Lawsuits filed by authors, visual artists, music publishers, and news organizations against companies including OpenAI, Meta, Stability AI, and Google allege that the use of copyrighted works to train AI systems constitutes infringement. These cases, many of which are still in their early stages, could reshape the economics of AI development if courts determine that training on copyrighted material requires permission or compensation.
The two issues — input and output — are legally distinct but commercially intertwined. If AI companies must pay to train their models on copyrighted works, and the outputs of those models cannot themselves be copyrighted, the value proposition of generative AI shifts dramatically. Companies would face costs on the input side without the ability to claim exclusive rights on the output side. This dynamic could accelerate the development of AI systems trained on public domain or openly licensed data, or it could push companies toward business models that emphasize the human creative contribution layered on top of AI-generated raw material.
What Comes Next for Creators and Companies
The Supreme Court’s refusal to hear Thaler’s case does not foreclose all future litigation on AI and copyright. Legal scholars have noted that Thaler’s case was an unusually clean test — he deliberately listed the AI as the sole author, making no claim of human involvement in the creative process. A future case involving a more ambiguous fact pattern, where a human artist uses AI tools extensively but also exercises significant creative judgment, could produce different results and potentially reach the Supreme Court on different grounds.
Congress could also intervene. Several lawmakers have expressed interest in updating copyright law to address AI, though no comprehensive legislation has advanced. The Copyright Office has conducted multiple public consultations on AI-related issues and is expected to continue refining its guidance. For now, the practical takeaway for creators and businesses is straightforward: if you want copyright protection, make sure a human being is making the meaningful creative decisions. The machines can assist, but they cannot author — at least not under American law as it stands today.
The Thaler saga, which began with a deliberately provocative legal claim, has produced a clear answer to a question that many in the technology industry hoped would go the other way. The Supreme Court’s silence speaks volumes: in the eyes of American law, creativity remains a fundamentally human enterprise, and the protections that flow from it are reserved for human creators. How long that principle holds in the face of increasingly capable AI systems is a question that lawmakers, courts, and society will be wrestling with for years to come.
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