FTC urged to probe AI firms buying and destroying books for training data
Synopsis
Key Takeaways
More than a dozen civil-society organisations have formally asked the US Federal Trade Commission (FTC) to investigate whether dominant artificial-intelligence companies are harming competition by purchasing, scanning, and physically destroying books used to train their models. The request, reported on 21 August, centres on what the coalition calls a 'destructive new data acquisition practice' that could entrench the market power of large AI incumbents at the expense of smaller rivals.
What the Coalition Is Alleging
The groups — including Demand Progress Education Fund, the Consumer Federation of America, and the Institute for Local Self-Reliance — want the FTC to determine whether acquiring and destroying physical books constitutes an unfair method of competition under Section 5 of the Federal Trade Commission Act. Their complaint is not aimed at restricting AI training itself, but at the competitive consequences of converting books into private datasets and eliminating the originals.
'Unlike a standard data acquisition strategy, this hoard-and-destroy practice could serve as yet another structural mechanism to raise rival companies' costs and deny start-ups and fledgling competitors a key source material essential to competing in the AI marketplace,' the letter stated.
The Anthropic Connection
The coalition's appeal follows disclosures that Anthropic acquired and destructively scanned millions of physical books as part of an internal effort known as Project Panama. Court records reported earlier this year indicated that book spines were removed so pages could be scanned rapidly, after which the physical material was sent for recycling. The company's stated objective was to obtain high-quality written material for training the AI models behind its Claude assistant.
Why Rare and Out-of-Print Books Are a Concern
The organisations raised particular concern about less common, out-of-print, and specialised books that may be difficult or impossible to replace once destroyed. They argued that large technology companies could deploy their financial resources to acquire books in bulk, effectively locking smaller AI developers out of the same source material.
'We urge the FTC to view this practice not in isolation but rather as the latest escalation in a documented pattern of anticompetitive conduct designed to create an insurmountable systemic moat around AI incumbents,' the groups wrote.
A New Competition-Policy Dimension
The coalition's complaint introduces an antitrust angle to a debate that has largely focused on copyright, licensing, and author compensation. An antitrust investigation would examine whether book acquisition and destruction exclude competitors — a distinct legal question from whether the training process infringes copyright. The FTC did not immediately announce whether it would open an investigation.
What Happens Next
The FTC has broad discretion over whether to act on the request. Should the commission open a formal inquiry, it could compel document production and testimony from major AI firms. The outcome could shape how AI companies source training data going forward, with implications for the broader competitive landscape of the industry.