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U.S. Copyright Office Releases Third Report on AI and Copyright Addressing Training AI Models with Copyrighted Materials

What You Need to Know

  • Key takeaway #1

    The preliminary Report takes the position that “making commercial use of vast troves of copyrighted works to produce expressive content that competes with them in existing markets, especially where this is accomplished through illegal access, goes beyond established fair use boundaries.”

  • Key takeaway #2

    Given the recent change at the head of the Copyright Office, there may be further revisions to this guidance in the future.

Client Alert | 2 min read | 06.02.25

On Friday, May 9, 2025, the U.S. Copyright Office released the third (pre-publication) installment in a series of reports regarding the intersection of artificial intelligence (AI) and copyright law.[1]  This report addresses the legal implications of training generative AI models using copyrighted materials.[2] 

Of particular concern to authors is whether they are entitled to license royalties by those who ingest their copyrighted works into AI models for training purposes.[3]  AI software developers, on the other hand, argue that licensing will unnecessarily restrain development and innovation, and impair competitiveness.[4]  This third report analyzes those differing views by assessing that the author’s right to control unauthorized reproduction is likely implicated,[5] and by comprehensively reviewing four non-exclusive factors that should be considered in determining whether use of a particular copyrighted work is fair use:

  1. The purpose and character of the use, including whether such use is of a commercial nature or is for nonprofit educational purposes;
  2. The nature of the copyrighted work;
  3. The amount and substantiality of the portion used in relation to the copyrighted work as a whole; and
  4. The effect of the use upon the potential market for or value of the copyrighted work.

The report concludes that the first and fourth factors may carry more weight in this analysis than the others,[6] but that a fair use determination “requires balancing multiple statutory factors in light of the relevant circumstances” on a case-by-case basis.[7]  For example, while some uses of copyrighted works for AI training may be transformative by “add[ing] something new, with a further different purpose or different character” so as “to advance the purposes of copyright,”[8] “making commercial use of vast troves of copyrighted works to produce expressive content that competes with them in existing markets, especially where this is accomplished through illegal access, goes beyond established fair use boundaries.”[9] 

The report suggests that a market-based approach would provide a better alternative to government intervention on the issue of whether and to what extent creator’s rights prevail over fair use rights and vice-versa.  For example, “[p]remature adoption [of statutory, compulsory licenses] … risks stifling the development of flexible and creative market-based solutions…and can take years to develop.”[10]  Likewise, technological developments in AI may require fewer unlicensed works without sacrificing quality.[11]

Although the report is preliminary and carries no legal effect on current or future litigation, the comprehensive analysis in the report provides ample support for those on both sides of the issue of whether training AI with copyrighted works constitutes copyright infringement or fair use.  As it stands, the report is currently the only guidance on the topic from the Copyright Office.  However, the new administration has implemented a change in the leadership of the Copyright Office after issuance of the report, and whether that change will affect this guidance in the future remains to be seen.  Given the potential implications for AI developers, content owners, and licensees, we will continue to watch this issue closely as both the legal landscape and technological developments evolve, and we look forward to evaluating how these issues may affect your IP strategies, licensing arrangements, or risk exposure.

[1] The first report, released in July of 2024, focused on digital replicas and deepfakes (https://copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-1-Digital-Replicas-Report.pdf).  The second report, released in January of 2025, addressed the copyrightability of AI-generated works and the human authorship requirement (https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf).

[2] https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf

[3] See, id, pp. 32-33.

[4] See, id, p. 34.

[5] See, id, pp. 26-30.

[6] See, id, p. 74.

[7] Id, p. 107.

[8] Id, p. 37.

[9] Id, p. 107.

[10] Id, p. 104-105.

[11] See, id, p. 105.

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Client Alert | 5 min read | 08.21.26

FTC Proposes Enforcement Policy Statement on Personalized Pricing: What Businesses Need to Know

On August 19, 2026, the Federal Trade Commission (FTC) announced a proposed Enforcement Policy Statement on personalized pricing — the practice of companies using consumers’ personal data to set individualized prices, discounts, coupons, or other incentives. The proposed statement, which is open for public comment for 30 days following publication in the Federal Register, marks a major step up in the FTC’s focus on data-driven pricing strategies and puts businesses across industries on notice that undisclosed or inadequately disclosed personalized pricing will not be tolerated. Importantly, while the proposed statement is not a binding legal requirement and does not create new legal obligations, it serves as an enforcement warning that the FTC is prepared to use its existing enforcement authority under Section 5 of the FTC Act (Section 5) and is also a potential harbinger of rulemaking. Businesses that engage in — or are considering — personalized pricing should carefully assess their disclosure practices and data collection procedures against the standards articulated in this statement....