Starting August 2, the European Union will require companies to disclose when images, audio and text have been artificially generated or manipulated to look authentic, as the Guardian reports. The rules are part of the EU’s AI Act, and they could have a particular impact on publishers and other organizations that are increasingly using AI to produce content.

Under the new requirements, people must be told when they are interacting with an AI chatbot or viewing manipulated media. Synthetic content must carry a visible label as well as a digital watermark identifying it as AI-generated.

The rules apply to new AI systems entering the European market beginning August 2. Existing systems will have an additional four months to comply. And for publishers, there is another important provision: Text about matters of public interest must be labeled as AI-generated when there has been no human editorial oversight.

Companies that fail to comply could face penalties of up to €15 million.

There are some exceptions. Personal content is exempt, as are works that are clearly artistic, satirical or fictional. Labeling AI-generated content created before the rules took effect is encouraged, but not required.

The European Union says the goal is to make it easier for people to distinguish authentic material from synthetic content. The rules follow the June 10 publication of a voluntary Code of Practice on Transparency of AI-Generated Content, which lays out how AI providers and deployers can comply with the AI Act’s labeling requirements.

Sergey Lagodinsky, a Green member of the European Parliament, told the Guardian that the rules are about more than protecting the public.

“It is a matter not only of customer protection, it’s also a matter of democracy protection,” he said. “Making transparent this information is something which we need to preserve our democracy and the authenticity of facts online.”

But some technology companies and industry groups say the rules have become too broad.

The Computer and Communications Industry Association argues that guidelines issued in July expanded the definition of a deepfake beyond what lawmakers intended when they passed the AI Act in 2024.

“The label was meant to flag deceptive content,” said Boniface de Champris, CCIA Europe’s AI policy lead. “That distinction has been removed, so now almost everything gets labeled — a landscape in an advert is the same as a manipulated political speech… That doesn’t protect anyone, it just burdens commercial activity across the board.”

De Champris says the biggest changes may not be obvious on social media, where platforms already label much AI-generated material. He expects the rules to have more consequences for advertising, film and publishing — industries that are using AI at scale but do not always tell audiences when they do.

That could put news organizations and other content producers in the EU in a new position. AI-generated images, synthetic voiceovers and machine-written text about matters of public interest may now require disclosure under the rules. What was once a question of editorial policy could become a matter of compliance.

Some major technology companies have already taken steps in that direction. TikTok says it requires creators to label realistic AI-generated media and has labeled more than 3 billion pieces of content. Google says its SynthID watermarking system has been used on more than 100 billion images. And more than 180 organizations, including Google and Meta, have signed a voluntary code of practice supporting the EU’s transparency requirements.

Henna Virkkunen, the European Commission’s executive vice president for tech policy, says the broader rules are meant to strike a balance. She described AI as a “transformative technology” capable of bringing “extraordinary benefits,” while warning that the most advanced systems could create risks “on an entirely new scale.”

For publishers and other content producers, the next phase will be figuring out exactly where those lines fall — and what AI disclosure looks like when it becomes a legal requirement rather than an editorial choice.

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Newsmax’s current and archived reporting will feed Meta’s AI-powered search and discovery tools under a licensing agreement announced Tuesday, giving the social media company another publisher partner as it builds news answers into its products.

The agreement reported by The Desk covers Meta services including Facebook, Instagram and WhatsApp, and extends to current and future consumer devices sold by the company. Meta will use the material to train its AI-supported search and discovery tools, while those tools will also link users to Newsmax stories and videos and generate short summaries from written work.

Christopher Ruddy, Newsmax’s chief executive, welcomed the deal in a statement to The Desk: “Newsmax applauds the significant resources Meta is putting into AI to keep America at the forefront of this emerging technology.” He added that the publisher wanted to help users reach timely, high-quality journalism through AI technologies.

The reported terms do not include a price or other financial details. That leaves a central question unanswered for publishers weighing similar deals: what compensation reflects the value of an archive, a daily reporting operation and traffic that may be intercepted by an AI-written answer before a reader reaches the original article.

Newsmax joins a growing group of right-of-center outlets that have signed Meta agreements, including Fox News Media, the Daily Caller and the Washington Examiner. The Desk also reports that Meta has reached content arrangements with News Corp, Warner Bros. Discovery, USA Today Company and People Inc.

Meta’s stated aim is broader than adding another political perspective. In comments cited by The Desk from December, the company said it wants Meta AI to become more responsive, accurate and balanced, particularly during breaking news events when its AI systems struggle to keep pace. Meta is integrating the assistant across its consumer products, placing search, recommendations and conversational answers inside the same ecosystem.

That goal remains untested. Licensing news publishers gives Meta a clearer legal basis to use their reporting than scraping the web or relying on unresolved fair-use claims. But it does not answer how Meta AI will choose sources, attribute reporting, summarize competing accounts or weigh conflicting information. Adding more publishers expands the pool of reporting. It does not, on its own, ensure balanced results.

For newsrooms and publishers, the Meta-Newsmax agreement underscores how AI licensing has become as much a distribution strategy as a rights negotiation. As more publishers strike AI licensing agreements, attention is likely to shift from financial terms to attribution, referral traffic, transparency and the distinction between training rights and real-time content use.

Meta’s next test is execution. The company will need to show that licensed journalism makes Meta AI faster, more reliable and better sourced without reducing publisher reporting to an invisible input. Newsmax has secured a place in that effort. The success of the agreement will ultimately be measured less by how much Newsmax content appears in Meta AI than by whether AI-generated answers still create an economic incentive to produce the original reporting.

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Meta’s crawlers hit websites 9.1 billion times in the second quarter of 2026 and sent almost nobody back in return. That single figure, pulled from DataDome’s Q2 2026 AI Traffic Report, captures the widening split between the agents that consume publisher infrastructure and the ones that actually deliver readers.

DataDome’s network processed 17.7 billion AI agent requests between April and June, a 45% jump from Q1’s 12.2 billion. The report draws on 5 trillion signals analyzed daily across more than 400 enterprises. Since January, the network has logged over 30 billion AI agent requests in total, and the monthly curve kept climbing: 4.77 billion in April, 6.29 billion in May, 6.60 billion in June.

Meta drove most of that growth. Its two crawlers do different jobs. Meta-ExternalAgent reads websites to train AI models without sending traffic or compensation back to publishers. Meta-WebIndexer works more like Google’s crawler, indexing pages so Meta AI can answer real-time queries. In Q2, ExternalAgent grew 74% to 5.3 billion requests and WebIndexer grew 163% to 3.75 billion. In June, WebIndexer passed ExternalAgent in monthly volume for the first time, a sign Meta is investing in the answering side of AI as much as the training side.

Crawl volume and referral value are pulling apart. ChatGPT-User, the top agent in Q1, fetched pages 6% less often in Q2. Yet OpenAI’s chatbot still commands 80% to 88% of all AI-driven referral traffic and grew referrals 17% quarter over quarter. Among the rest, Claude referrals more than doubled to 876,000, Perplexity grew 37%, and Grok collapsed 74% to just 24,000 visits.

The distinction matters because publishers have spent the past two years arguing that AI companies use their content without returning referral traffic or other value in exchange. That tension runs through the AI scraping economy, and DataDome’s numbers put figures on it.

The report also flags a new signal worth watching: Model Context Protocol traffic. MCP, the connective layer between AI agents and external tools that Anthropic introduced in late 2024, went from negligible volume to peaks near 500,000 requests a day. Most requests come from AI agents taking inventory through calls such as initialize, tools/list and prompts/list. Rather than reading content, those requests reveal what an agent intends to do before it takes action.

For newsrooms and publishers, the practical message is that bot-or-not detection no longer cuts it. Meta-ExternalAgent, Meta-WebIndexer, ChatGPT-User and a chat session all demand different responses. DataDome recommends agent-level classification, MCP monitoring, and identity validation through standards like Web Bot Auth rather than trusting user-agent strings, which are easily spoofed. Any allowlist granting automatic access based on a trusted agent name is exposed.

Already, 54% of DataDome customers have adopted agent trust policies. The firm frames that as a leading indicator. As Q3 data arrives, the open question is whether Meta’s tilt toward real-time indexing holds, and whether publishers can tell the difference between an agent burning their bandwidth and one bringing them an audience.

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Scott Turow, the bestselling author of “Presumed Innocent,” has filed a copyright infringement lawsuit against Meta. And he’s brought along half of the publishing industry.

Turow and his company S.C.R.I.B.E. joined forces with Hachette, Macmillan, McGraw Hill, Elsevier and Cengage to file a class-action lawsuit in the U.S. District Court for the Southern District of New York. The plaintiffs allege Meta built its Llama language model by copying millions of copyrighted books and journal articles, with direct authorization from CEO Mark Zuckerberg.

The complaint claims Meta “briefly considered licensing deals with major publishers” but reversed course in April 2023 after the question was escalated to Zuckerberg. A Meta employee is quoted in the filing as saying: “If we license one single book, we won’t be able to lean into the fair use strategy.”

The lawsuit cites specific works including Turow’s “Presumed Innocent,” Douglas Preston’s “Impact,” Peter Brown’s “The Wild Robot,” N.K. Jemisin’s “The Fifth Season,” and Lemony Snicket’s “Who Could That Be at This Hour?” The class could include authors with registered copyrights on books with ISBNs or journal articles with DOIs or ISSNs.

“All Americans should understand that the bold future promised by A.I., has been, to paraphrase the investigative writer Alex Reisner, created with stolen words,” Turow said in a statement to NPR. “It is all the more shameful that these violations of the law were undertaken by one of the richest corporations in the world.”

Authors Guild CEO Mary Rasenberger called it “the most flagrant copyright breach in history.” The plaintiffs are seeking statutory damages, a permanent injunction, and an order requiring Meta to destroy all infringing copies.

Meta pushed back sharply. “AI is powering transformative innovations, productivity and creativity for individuals and companies, and courts have rightly found that training AI on copyrighted material can qualify as fair use,” said Nkechi Nneji, a Meta public affairs director. “We will fight this lawsuit aggressively.”

The case enters a complicated legal landscape. A federal judge dismissed a different group of authors’ copyright claims against Meta last June, finding the plaintiffs didn’t present enough evidence of harm. But Anthropic settled with publishers for $1.5 billion last September after a ruling that the company had copied millions of books without consent or compensation.

Whether Turow’s case can distinguish itself from Meta’s previous win — and overcome the “fair use” defense — will be the central question.

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Meta is building a new AI model it plans to sell access to, abandoning the open-source strategy that Mark Zuckerberg championed for years.

The model, codenamed Avocado, is expected to launch next spring as a “closed” system that Meta can monetize directly, according to Bloomberg’s Kurt Wagner and Riley Griffin. This would align Meta with rivals OpenAI and Google, which charge for access to their most capable models.

The shift comes after Llama 4, Meta’s open-source model released earlier this year, disappointed Zuckerberg and Silicon Valley. He sidelined some team members and recruited top AI researchers with multiyear pay packages worth hundreds of millions of dollars.

New Chief AI Officer Alexandr Wang, who joined through Meta’s $14.3 billion acquisition of Scale AI, advocates for closed models. He now leads a group called TBD Lab that reports directly to Zuckerberg.

The team is training Avocado using several third-party models, including Qwen from Chinese tech giant Alibaba. That’s a notable turn for Zuckerberg, who warned on Joe Rogan’s podcast in January that Chinese models could be shaped by state censorship.

Yann LeCun, known as one of AI’s “godfathers” and a major open-source proponent, left Meta recently after years leading its long-term AI research. Some employees had been encouraged to keep him out of the spotlight, Bloomberg reported, because Meta no longer saw him as representative of its AI strategy.

Why it matters for newsrooms: Media organizations evaluating AI tools now face a landscape where even Meta, once the loudest voice for open AI development, is moving toward paid, proprietary systems. That could mean fewer free options for cash-strapped newsrooms and greater dependence on subscription-based AI services from a handful of tech giants.

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