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The Interactive Advertising Bureau has unveiled a draft bill aimed at stopping large-scale AI and scraper-driven copying of publisher material, seeking to protect journalism\u2019s economic sustainability amid rising bot traffic and legal debates.<\/p>\n<\/div>\n
The Interactive Advertising Bureau this week unveiled draft federal legislation aimed at stopping large-scale automated copying of publisher material by AI systems and third-party scrapers, arguing that unchecked scraping threatens the economics of ad-supported journalism. The proposal, announced by IAB president and chief executive David Cohen at the trade body’s Annual Leadership Meeting in Palm Desert on 2 February, sets out a legal route for publishers to sue bot operators and seek recovery for lost traffic and profits. According to the IAB, the measure is designed to protect publishers\u2019 ability to monetise their work rather than rely on months or years of piecemeal court outcomes. According to the report by Axios and the IAB\u2019s own announcement, the draft is being circulated to congressional staff as the organisation looks for a sponsor in Congress. [2]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n At the heart of the draft is a common-law claim of \u201cunjust enrichment\u201d, which the IAB says would let publishers pursue remedies when AI firms use their material without payment. The IAB and its legal team contend unjust enrichment differs from copyright law because it does not allow a fair use defence, so defendants could not rely on that doctrine to excuse large-scale ingestion of publisher content. The IAB\u2019s general counsel framed the approach as a way to address harms that copyright litigation has struggled to remedy quickly. [1]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n The draft would give publishers the ability to recover the value of their content or lost revenues, seek injunctions to stop unauthorised use, and recover legal costs. It also contains stricter penalties, potentially treble damages, where bot operators fail to disclose the identity, purpose and scope of their crawlers, misrepresent a scraper as a search indexer, or ignore robots.txt directives. The IAB casts those provisions as deterrents to prevent the commercial harvesting of paywalled or otherwise restricted content. [1]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n Independent traffic analyses have provided fuel for the IAB\u2019s urgency. Data compiled by TollBit and reported by Wired and Forbes shows a dramatic rise in visits from AI-driven bots to participating publishers between early 2024 and late 2025, with scrapers increasingly bypassing robots.txt controls and, in aggregate, scraping sites millions of times. TollBit\u2019s analytics product, which tracks what it identifies as AI bot traffic, has been cited by the IAB and in media coverage to quantify the scale of the problem publishers say they face. Those findings underpin the IAB\u2019s argument that current technical signalling such as robots.txt is routinely ignored. [4]<\/a><\/sup>,[5]<\/a><\/sup>,[7]<\/a><\/sup><\/p>\n The draft\u2019s critics argue it will face a difficult path in Washington. Legal commentators and IP lawyers note the bill would supplant the fair use defence in cases brought under its common-law theory and warned that the current federal administration\u2019s stated aim of reducing regulatory friction for AI innovation could make congressional passage challenging. Observers also point out that the crowded legislative calendar and competing priorities in Congress mean that even a broadly sympathetic bill can stall absent strong bipartisan sponsorship. According to legal analysis from practitioners quoted in coverage, the proposal may draw pushback from parts of the tech sector and the administration. [1]<\/a><\/sup>,[2]<\/a><\/sup><\/p>\n Because the IAB is a trade association rather than a regulator, the organisation cannot itself impose fines; instead it is pursuing a legislative remedy and simultaneously leaning on industry norms and self-regulation to raise the reputational and commercial costs of non\u2011compliance. Industry examples such as the Digital Advertising Alliance show how voluntary frameworks can shape behaviour without statute, but experts warn compliance across the diffuse set of AI developers could remain uneven unless backed by enforceable law. The IAB has signalled it would also consider other routes, including state-level action, though legal advisers caution a patchwork of state laws would complicate compliance. [1]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n For publishers, the practical burden under the draft would remain proving that specific AI systems scraped their sites and quantifying the commercial harm. The IAB argues that tools such as TollBit\u2019s bot analytics can provide the evidentiary basis publishers would need to bring claims. Opponents counter that attribution and harm calculations are legally and technically complex and that aggressive statutory remedies could chill legitimate uses of the web for discovery or indexing. The debate over how to distinguish benign indexing from monetised scraping is now being played out at several levels, including regulatory scrutiny in the UK and EU into whether major search and AI firms conflate indexing with model training. [4]<\/a><\/sup>,[6]<\/a><\/sup><\/p>\n The IAB\u2019s proposal crystallises a wider industry demand for clearer guardrails around how AI systems may use third\u2011party content. Whether that demand translates into federal law will depend on political will, the outcome of parallel international probes into major platforms\u2019 practices, and how quickly legislators, regulators and courts can agree definitions and enforcement mechanisms. In the meantime, publishers and ad industry groups are pressing both technical and legislative avenues to stop what they characterise as uncompensated commercial harvesting of their work. [2]<\/a><\/sup>,[5]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n Inspired by headline at:<\/strong> [1]<\/a><\/sup><\/p>\nSource Reference Map<\/h3>\n