Freelance writers for Take a Break’s Fiction Feast, Bauer Media’s monthly compendium of short stories, have been told their services are no longer required. In their place: stories that appear to be drafted by AI and credited to “The Fiction Feast Team.”

The change was reported by Press Gazette, which says that whole stories now appear to be produced with AI tools rather than commissioned from human authors. Bauer Media has not responded to requests for comment.

Press Gazette’s Dominic Ponsford framed the likely motive as financial. Costs are tight, and cutting freelance commissions may be a way to keep the title running while keeping the remaining named human authors in work. Ponsford presents this as a possibility, not an established fact, and acknowledges he cannot verify the underlying reason.

What makes this case notable is the setting in which the AI is being deployed. Fiction is among the creative forms readers are least likely to embrace when they learn it was generated by AI. That makes a magazine built around human-authored short stories an unusual place to test audience acceptance of synthetic writing, particularly when publishing under a house byline rather than clearly disclosing AI involvement.

The move fits a broader squeeze on paid creative work. The Author’s Guild has repeatedly called for AI-generated works to to be clearly labeled to prevent them from being passed off as human-written and to protect the market for human authors. Publishers introducing AI into creative publications are stepping into that dispute.

The decision comes amid a worsening climate for freelance writers and creative workers. Newsroom and publishing job cuts have accelerated, with the 2026 layoff wave already outpacing the previous year by early spring. Faced with those pressures, publishers may see AI-generated drafts as a way to cut down on freelance spending.

Traffic data in the same Press Gazette briefing shows why money is tight. Most of the top ten U.S. news websites lost more than 20% of their traffic year on year in June, with Substack the lone gainer at 25%. Buzzfeed fell 48% to 46 million monthly visits. Globally, 45 of the biggest news sites saw declines in April 2026 alone. Google’s expansion of AI Overviews and AI Mode in its home market is a major driver of those drops.

For newsrooms and publishers, the Take a Break decision offers an early look at a challenge more titles may soon confront. When search referrals fall and budgets shrink, the temptation to replace paid contributors with AI grows, and fiction is no longer off-limits. The open questions are whether readers notice, whether they care, and whether a house byline like “The Fiction Feast Team” counts as adequate disclosure.

Bauer has not addressed those questions publicly. The outcome could shape how other publishers think about AI in creative work: if readers see little distinction between commissioned fiction and AI-generated stories, publishers may feel more comfortable expanding such experiments. If readers object, the episode could underscore the reputational risks of introducing AI into publications built on human authorship.

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In 2023, a company called Alabama Community News LLC supposedly spent $3.2 million to buy 47 weekly newspapers across the state. The corporate owners fired the local staff, replaced them with an artificial intelligence system that scraped high school sports scores, and promptly drove the entire network into bankruptcy. The story even named a specific 26-year-old campaign staffer who generated 70 percent of the copy.

None of it actually happened. The entire 1,900-word saga was a fabrication published by a site called The Editorial, according to an investigation by Nieman Lab. The targeted newspapers, including the Shelby County Reporter and the Centreville Press, are still printing. The angry local advertisers quoted in the piece do not exist. The story falsely claimed the roll-up was funded by 1819 News, a real conservative outlet in the state, adding a layer of plausibility to the hoax.

The fake story gained traction among journalists on social media platforms like Bluesky before the operators pulled it down. They replaced the page with a sterile retraction notice citing “fact-verification concerns.” But the Alabama hoax was not an isolated incident.

The Editorial has built a bizarre subgenre of AI-generated obituaries for real American newspapers. The site previously published fabricated stories detailing the collapse of the Chattanooga Times Free Press, the Kenosha News, and the Macon Telegraph. The nonexistent reporters credited with these stories sport fake resumes claiming past stints at ProPublica and Reuters.

The motive behind the site remains murky. Domain registration and payment records point to a Finnish technology company called Nordiso Group, which develops AI study apps. Yet the site’s political sections suggest a different angle. The Editorial publishes a high volume of geopolitical content focused on Taiwan and the South China Sea, heavily pushing narratives that highlight Chinese military dominance.

These geopolitical stories share obvious synthetic fingerprints. Nearly every piece opens with a variation of the exact same scene: a nondescript, windowless conference room where a secret document slides across a table. This repetitive structure aligns with tactics tracked by groups like the Stanford Internet Observatory, which monitors state-sponsored disinformation campaigns. It also highlights how cheap synthetic media allows operators to flood niche topics, a trend we track closely at The Media Copilot.

For publishers, this represents a strange new vector of reputational risk. Newsrooms are used to fighting disinformation about elections or public health, but now they must monitor for synthetic hoaxes about their own business operations. A fake story about a newspaper shutting down or firing its staff can spook actual advertisers and confuse real subscribers before the publisher even realizes the rumor exists.

The barrier to generating convincing local news copy is gone. Operators no longer need to understand the nuances of a community to write a plausible story about it. They only need a prompt and a target, leaving local editors to clean up the mess when the synthetic fallout hits their own backyards.

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A year ago, Cloudflare drew a line in the sand against unbridled AI crawling of the internet. Exactly one year later (again on Canada Day) the company took what it says is the next major step on that journey, introducing new tools for publishers and content creators to not just block bots from crawling their content, but charge them for access.

To me, the most interesting part of this is the new Pay Per Use framework. This builds on the existing Pay Per Crawl system, which charged bots whenever they crawled a page. But that straightforward approach didn’t necessarily capture the value of the crawl—once captured by an AI crawler, a piece of content could be used multiple times, in hundreds or even thousands of answers. On the other hand, something could be crawled and never used at all.

Pay Per Use fixes this by compensating the content owner when their content is actually used in an AI answer. Theoretically, if you published something unique, valuable, and optimized for machines to read, it could end up paying dividends for as long as people ask about it. And knowing that is part of the new system, too—Cloudflare promises analytics for content owners so they know how their content is being used. It’s also going to have a better system of telling bots when content hasn’t been updated so they don’t keep re-crawling the same static page over and over.

The system sounds like a sensible evolution to Pay Per Crawl—at least for inference (i.e. AI search engines). For AI training bots, Pay Per Crawl actually strikes me as the better solution since it’s more “one and done.” And how would you measure the value of an individual piece of content in a training set anyway?

All of this depends on a workable payment system, of course, and Cloudflare shared details on how it’s evolving that part of the framework. The new Monetization Gateway is straightforward: 

• a bot tries to access content
• the gateway responds with the payment needed and how to pay
• the bot deposits the payment and gets a proof of payment
• The bot then re-requests the content with the proof
• the gateway checks it and bestows access.

It’s all nice in theory, but this kind of usage-based pricing becomes a bookkeeping nightmare on the content owner’s side. This is one of the big reasons micropayments never took off in digital publishing—the revenue from a small payment by a single customer was never worth the processing hassle.

Cloudflare says its unique position as a content delivery network helps solve these problems. It’s already tracking and classifying the bots, so it’s easy to add the payment credential to the process. There’s no “account creation” or anything like that—the bot just shows the receipt. And it’s all done on an open protocol, with no checkout pages or separate payment API. Apparently, there are advantages to managing traffic for 20% of the web.

Cloudflare is refreshingly honest that its new Pay Per Use system is an experiment. How this all plays out depends largely on adoption, not just by publishers but also by AI companies and data brokers. Lots of people often say that digital publishing needs its Napster moment—when the music industry transitioned from sketchy Napster downloads to the “legit” option of iTunes. But iTunes downloads were aimed at individuals. Nobody typing a search into Google or Claude is deciding what content to pay for. This is all determined at the company level, and companies will always choose to get the best/most data for the least cost.

And that will ultimately come down to a simple equation: Is it less costly to get the data they want via Cloudflare’s system? If it’s not, it will remain merely an experiment.

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NewsGuard, a company best known for rating the reliability of online news sources, on Tuesday launched NewsGuard AI, a chatbot that draws exclusively from a database of journalist-vetted stories instead of the open web.

The launch comes as concerns persist over the accuracy of AI-generated responses. NewsGuard said a yearlong audit of leading AI models found they repeated false or misleading claims on controversial news topics 35% of the time. The company argues that limited responses to vetted sources can help reduce the spread of misinformation through AI systems. 

NewsGuard AI attributes information directly to the publishers whose reporting is used in its responses, unlike other chatbots like ChatGPT, Claude, Gemini, or Perplexity.

Participanting publishers include The Atlantic and other regional newspapers, opinion journals, and public media organizations. Readers, subscribers and members of some participating outlets will receive a free trial of NewsGuard AI followed by an offer for 33% off the chatbot’s standard $6 monthly subscription. 

The company also says it will share revenue with participating publishers through a 50-50 revenue-sharing model and affiliate-style subscription referrals, though it has not publicly disclosed the formula used to calculate payouts.

NewsGuard says its journalists have reviewed more than 36,000 sources since 2018, including newspapers, magazines, opinion publications, local news outlets, independent newsletters, government websites, think tanks, hospitals and research universities. Of these, roughly 12,000 have been rated reliable and are eligible to be cited by NewsGuard AI. 

The new service enters a rapidly evolving market in which publishers are negotiating licensing agreements with AI companies while also challenging the unauthorized use of their reporting. Media organizations have struck content deals with companies including OpenAI, Amazon and Meta, even as lawsuits and public disputes over AI scraping continue across the industry.

Chris Richmond, CEO of the fact-checking website Snopes, said the arrangement addressed concerns his organization has had with other AI products.

“Snopes has restricted most AI chatbots from scraping our content,” Richmond said. “But we’re happy to partner with NewsGuard on a model that does this the right way.” 

In addition to drawing from vetted sources, NewsGuard AI says it incorporates 41 editorial safeguards. These include access to NewsGuard’s database of 64,000 debunked false claims circulating online, which the company says help prevent the chatbot from repeating known misinformation. Users can also access detailed explanations debunking false claims and share them with others. 

“Few things will matter more in the near future than the ability of humans to figure out what’s real, what’s false, and what’s confabulated nonsense,” said Nicholas Thompson, CEO of The Atlantic. “This is particularly true when it comes to news.”

NewsGuard is also targeting educational institutions. Students at participating schools and universities will receive free access while enrolled. The company says the chatbot has been designed to refuse requests to write essays or reports for users. 

“NewsGuard AI can provide reliable research while not substituting for students doing their own writing and thinking,” said NewsGuard’s Chief Operating Officer Matt Skibinski.

Local language versions of NewsGuard AI will be available in French, German and Italian in September. 

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UK publishers can now opt out of appearing in Google’s AI search results—the AI Overviews that appear at the top of many searches—and the regulator that made it happen says the point is to give publishers leverage to negotiate payment for their content.

According to the BBC, the Competition and Markets Authority, the UK’s official competition regulator, announced on Wednesday that websites based in the country can choose not to appear in Google’s AI Overviews, the AI-generated summaries that appear at the top of search results. Sites that opt out will not receive traffic or impressions from those generative AI features. The CMA called it a “world-first requirement” that puts publishers “in a stronger position to negotiate content deals with Google.”

The timing matters. Many publishers have seen significant traffic drops since Google moved traditional links down the results page and replaced them with AI summaries at the top. The opt-out mechanism is both a way to control traffic from AI as well as a negotiating lever. If a publisher removes itself from Google’s free AI distribution, the CMA’s position is that the same publisher can then demand payment to be included in AI results on different terms.

Google controls more than 90% of the online search market in the UK, according to the CMA. For almost three decades, websites and publishers have relied on Google’s search results to drive users to their businesses. That dependency is what the CMA’s requirement is designed to disrupt—at least in the AI layer.

The BBC quotes the regulator’s chief executive, Sarah Cardell, saying the requirement would result in “fair treatment, greater transparency and meaningful choice for businesses and consumers.” The CMA also said Google must properly attribute publishers’ content which appears in AI search results, with clear links back to their sites.

Google has nine months to bring all the changes in, but the CMA says it wants to see “important parts” of the requirements implemented earlier. The CMA has extra powers over Google and other large tech companies designated as having an influential position in the digital market, and it says it will be monitoring developments in Google search with the ability to act further if needed.

In a blog published the same day, Google said it was testing the new opt-out features in the UK first before rolling them out globally. The company said it was engaging with regulators “to ensure website owners have the right tools as user preferences evolve.”

The broader context is a shift in how people find information online. Some users have moved from traditional search engines to AI chatbots that produce answers based on information scraped from existing websites, often without driving traffic back to the source. The CMA’s intervention is an attempt to give publishers a seat at the table in a search landscape that has changed substantially since the last set of regulatory frameworks were designed.

Whether nine months is long enough to change the economic relationship between publishers and AI search platforms depends on how seriously both sides take the negotiating position the CMA is trying to create.

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The Associated Press, founded in the mid-1800s to help New York newspapers share reporting costs, is offering buyouts to an unspecified number of U.S.-based journalists — the latest move in a long-running transformation from wire service to technology data company.

The News Media Guild, which represents AP journalists, said more than 120 staff members received buyout offers on Monday. AP executive editor and senior vice president Julie Pace said the goal is to reduce global headcount by less than 5%, though she acknowledged the cut among U.S. staff would likely exceed that figure depending on how many people accept.

“We’re not a newspaper company and we haven’t been for quite some time,” Pace said.

The numbers back her up. Over the past four years, AP’s newspaper revenue has fallen 25%. Big newspaper publishers, once the organization’s financial foundation, now account for just 10% of income. Gannett and McClatchy both dropped AP in 2024. Lee Enterprises — publisher of The Buffalo News, the St. Louis Post-Dispatch, and the Richmond Times-Dispatch — is now seeking an early exit from a contract due to expire at the end of 2026.

Where the growth is coming from

While the newspaper business contracts, AP’s technology revenue has grown 200% over the same four-year period. Kristin Heitmann, senior vice president and chief revenue officer, put it plainly: “If you can think of a large technology company, they are a customer of ours.”

AP was among the first news organizations to move aggressively into AI deals, agreeing in 2023 to lease part of its text archive to OpenAI. It has since launched on Snowflake Marketplace to license data directly to enterprises, stood up AP Intelligence to sell data to financial and advertising sectors, and last year secured a deal with Google to deliver news through the Gemini chatbot — Google’s first content deal with a news publisher.

Elections data is another growth vector. AP saw a 30% increase in election data customers between the 2020 and 2024 cycles, and last month agreed to sell U.S. elections data to Kalshi, the world’s largest predictions market. ABC, CBS, NBC, and CNN all signed on to the AP elections service last year.

What the restructuring looks like

Beyond the headcount reduction, AP is doubling down on video — it has already doubled the number of U.S. video journalists since 2022 — and deploying rapid-response teams that contribute to major stories regardless of geographic base. The organization says it will maintain a presence in all 50 states.

The union is pushing back. In a statement, the News Media Guild said AP “refuses to offer [staff] appropriate training and tools” and is “flirting with artificial intelligence — ignoring the opportunity to differentiate AP news stories as ones that are and always will be created by human journalists.” The union also said AP declined a request last week to bargain over AI use.

AP did not immediately comment on either claim.

Pace framed the restructuring as a strategic choice made from stability, not distress. “The AP is not in trouble,” she said. “We’re making these changes from a position of strength.”

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The Internet is undergoing a fundamental shift — and two of its largest infrastructure companies want to be the ones who set the rules for it.

Cloudflare and GoDaddy announced a strategic partnership Tuesday designed to give creators and small businesses more visibility and control over how AI agents access their content. The centerpiece: GoDaddy is integrating Cloudflare’s AI Crawl Control directly into its website hosting platform, letting site owners allow, block, or signal that payment is required before any AI crawler touches their content. The companies are also supporting open standards — specifically GoDaddy’s own Agent Name Service (ANS) and Cloudflare’s Web Bot Auth — that would give AI agents a cryptographically verified identity rather than operating anonymously across the web.

The problem they’re solving is real and growing. AI agents are increasingly browsing, summarizing, and retrieving content on behalf of users — but most operate without identifying themselves, leaving site owners with no record of who scraped what and no mechanism to negotiate terms. “There needs to be a way to ensure that businesses and creators have the tools to easily identify, manage, and trust AI traffic,” the companies said in a joint statement.

ANS, which GoDaddy introduced as a global open standard, uses DNS and public key infrastructure to assign verifiable identities to AI agents — a layer of trust that lets site owners distinguish legitimate agents from impersonators. Cloudflare, which introduced Web Bot Auth in 2025 along with a Signature Agent Card developers can use to share their agent’s stated purpose, is supporting the standard alongside its own tools. The broader goal is a permission-based model for the agentic web — and a technical foundation for a fair value exchange in what both companies call the Answer Engine era. It’s a dynamic that mirrors broader tensions: as AI companies negotiate directly with publishers over content access, the underlying question of who controls and monetizes AI’s use of the web is far from settled.

“The Internet is evolving into a high-velocity, AI-driven ecosystem, and that requires a new kind of transparent infrastructure,” said Stephanie Cohen, Chief Strategy Officer at Cloudflare. “By putting tools like AI Crawl Control and open standards into the hands of website owners, we are providing essential underpinnings for a new Internet business model.”

For publishers and creators watching their search traffic erode as AI answers replace clicks, the partnership is a concrete — if early — signal that the infrastructure layer is beginning to take shape. Whether it scales to the full open web remains an open question. Cloudflare has already been converting web pages to markdown for AI agents, and the battle over how AI crawlers pay for content is accelerating.

“We move at the speed of the Internet,” said GoDaddy Chief Strategy Officer Jared Sine, “and we’re working with the broader industry to ensure the agentic open web does too.”

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A federal judge has dismissed an antitrust lawsuit brought by two Arkansas news publishers against Google, ruling that they lack standing to sue over the general search market and that key claims are too old to pursue — even as the judge acknowledged Google’s monopoly power in blunt terms.

U.S. District Judge Amit P. Mehta, writing in a 41-page opinion, dismissed the case filed in 2023 by Helena World Chronicle and Emmerich Newspapers. The publishers argued Google had leveraged its search dominance to effectively become “America’s largest news publisher” — monopolizing the online news market, diverting their traffic, and depriving them of licensing revenue without paying for it.

Mehta didn’t dispute the underlying picture. “The acquisitions of Android, YouTube, and DeepMind may very well have been anticompetitive,” he wrote. “But Plaintiffs are 10 to 20 years too late; those claims are now stale.” The conduct that built Google’s dominance happened too long ago to sue over. The statute of limitations swallowed the core of the case.

On the market definition, Mehta found a structural problem: the publishers aren’t competitors in the general search market — they’re publishers of news content. Their alleged injuries (lost traffic, lost licensing fees, higher production costs) happen in the news publishing market, not the search market. That mismatch undercut their antitrust standing. The judge also dismissed the tying claim — that Google forced users into its search ecosystem as a condition of using Android — finding it inadequately pleaded.

The ruling is appealable, and the case remains on file with the U.S. District Court for the District of Columbia.

The outcome is discouraging but not surprising. Small regional publishers face enormous structural barriers in antitrust litigation against Google — the legal bar for market definition and monopoly power in adjacent markets is high, discovery is expensive, and the statute of limitations problem is real. The conduct that matters most happened years ago, and courts have been reluctant to retroactively reach it.

It’s worth noting that Judge Mehta is the same judge who ruled last year that Google illegally maintained its search monopoly in the DOJ case — so his skepticism of the publishers’ theory here isn’t a vindication of Google, just a finding that these particular plaintiffs, with this particular theory, didn’t clear the legal threshold. The broader question of what Google’s search dominance means for publishers is very much unsettled. The appeals court will have the final word.

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Arc XP, the content platform built by The Washington Post and used by publishers including The Irish Times, Sky News, and Graham Media Group, has integrated TollBit directly into its delivery infrastructure, giving the publishers who use Arc a turnkey way to detect, control, and charge AI bots for access to their content.

The partnership, announced Monday, works through Arc XP’s Edge Integration Framework. Once activated, publishers can monitor AI bot traffic through TollBit’s analytics, classify bots in real time, block them outright, or redirect them to a TollBit Bot Paywall that enforces access rules and pricing. Participation in the monetization program is optional.

The distinction from most bot-management tools is the commercial layer. Most blocking tools stop at blocking, but TollBit connects detection to a licensing marketplace. AI companies that want real-time access to publisher content can pay for it programmatically through TollBit’s agent authentication system. Arc XP handles the edge integration and policy controls; TollBit manages the payments.

“AI companies are extracting value from publisher content at scale,” said Sharad Vivek, Global Head of Partnerships at Arc XP. “Publishers need control and transparency, not guesswork.”

The integration is significant partly because of Arc XP’s footprint. Supporting more than 2,500 sites and billions of pageviews a month, it’s one of the larger CMS platforms in news media. A native TollBit integration means a large chunk of the publisher ecosystem can now flip on AI bot monetization from a single dashboard rather than building custom infrastructure.

Whether that monetization materializes at scale is still an open question. AI licensing revenue models are early and unproven for most publishers, and AI scrapers have shown a consistent pattern of bypassing publisher protections when it suits them. The commercial viability of bot paywalls depends on AI companies choosing to pay rather than route around them, which is far from guaranteed. We’ve also looked at TollBit’s data handling before—worth a read for publishers considering the integration.

Still, the infrastructure is getting built. The fact that a platform the size of Arc XP is embedding this natively suggests the industry is moving from blocking as the default to a more structured access-and-compensation model—even if the economics aren’t settled yet.

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Encyclopedia Britannica and its Merriam-Webster subsidiary sued OpenAI in Manhattan federal court on Friday, alleging the company used nearly 100,000 of their articles to train ChatGPT without permission, and then used the chatbot to cannibalize the traffic that encyclopedias depend on to survive.

The complaint, filed in the Southern District of New York, says OpenAI made “near-verbatim” copies of Britannica’s encyclopedia entries, dictionary definitions and reference content to train its GPT large language models. It also accuses OpenAI of trademark infringement—specifically, generating AI “hallucinations” that falsely cite Britannica as a source, implying a permission that was never granted.

OpenAI’s response was the standard playbook: “Our models empower innovation, and are trained on publicly available data and grounded in fair use.”

Britannica isn’t new to this fight. The company sued Perplexity last September over similar allegations—that Perplexity’s answer engine reproduces its content without attribution or compensation. That case is still ongoing. The OpenAI suit extends the same theory to a much larger defendant with much deeper pockets and a far larger user base.

The core grievance goes beyond copyright. Britannica’s complaint frames the harm as a flywheel: OpenAI trains on Britannica’s content, then deploys a product that answers the same questions Britannica’s websites would have answered, diverting users before they ever arrive. It’s the same structural argument publishers have been making about AI search summaries, and it’s why policymakers in Europe and Brazil are exploring statutory licensing as a way to compensate content creators whose work powers AI without delivering any traffic in return.

Britannica requested unspecified monetary damages and an injunction blocking further infringement. The case joins a growing docket of high-stakes AI copyright litigation heading for a reckoning in U.S. courts over whether training on publicly available data constitutes fair use—a question on which the industry, publishers, and regulators are all waiting for an answer.

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