The tools used to monitor journalists — once confined to intelligence agencies — are now commercially available, widely deployed, and capable of accessing a phone without the target ever clicking a link. On World Press Freedom Day, May 3, the International Federation of Journalists put that reality at the center of its annual assessment of global press conditions, publishing findings that describe not a gradual erosion of media freedom but an accelerating one.

The IFJ, which represents more than 600,000 media professionals across 148 countries, called the global state of press freedom “deplorable.” UNESCO’s latest World Trends Report on Freedom of Expression and Media Development adds the statistical frame: press freedom has fallen 10% since 2012, a decline the IFJ said is comparable to some of the most unstable periods of the 20th century.

128 deaths, and counting

The human cost in 2025 was 128 journalists killed. The IFJ said additional deaths have already been recorded in 2026. Reporters working in conflict zones face the sharpest risks — in Ukraine, Palestine, Lebanon, and Sudan, journalists have been arrested, displaced, or killed while carrying out their work. Individuals identified as press are increasingly becoming deliberate targets rather than incidental casualties.

IFJ General Secretary Anthony Bellanger described each attack as an act with consequences beyond the individual.

“Every attack on a media professional is an attack aimed at silencing a story intended to inform citizens,” Bellanger said, adding that restrictions on journalism ultimately prevent the public from making informed decisions.

Spyware without borders

In a study published April 28 — “Global Surveillance of Journalists: A Technical Mapping of Tools, Tactics and Threats” — the IFJ documented what it describes as a convergence of state intelligence capabilities, private-sector tools, and weak regulatory frameworks.

The report, which draws on cybersecurity expert interviews and technical investigations conducted between 2021 and 2025, identifies commercial spyware systems including Pegasus, Predator, and Graphite as now widely available beyond their original government-intelligence markets. All three are capable of “zero-click” intrusions — accessing a target’s device with no interaction required from the user.

The IFJ found these technologies are frequently deployed with limited oversight, leaving journalists monitored without accountability and with few legal avenues for redress.

AI as force multiplier

The IFJ study also raises concerns about artificial intelligence extending the reach of existing surveillance infrastructure. Data gathered through digital monitoring — communications, location history, online activity — can be fed into AI systems that analyze it at scale. In conflict environments, the report said, such systems can combine telecommunications data with drone feeds, enabling the identification and tracking of journalists in the field.

Beyond targeted surveillance, the IFJ warned of AI-driven disinformation, identity theft, and automated content systems that bypass editorial standards entirely.

Lead study author Samar Al Halal said the effects compound in ways that damage journalism even when no direct harm occurs.

“When journalists are watched, sources disappear, investigations stop, and self-censorship becomes normal,” Al Halal said. “The public doesn’t just lose information, it loses the ability to hold power accountable.”

What the IFJ is demanding

The organization is calling on governments to enact laws protecting press freedom and regulating surveillance technologies, restrict the export and use of commercial spyware, and strengthen legal safeguards for journalists’ sources. The surveillance report specifically recommends increased investment in digital security training and stronger protections for encryption and anonymity.

The broader context makes those demands urgent. A 10% global decline in press freedom over 13 years, 128 journalists dead in a single year, and surveillance tools that require no mistake from their targets — the infrastructure for silencing reporters has rarely been more capable or more available.

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A single unreleased AI model has triggered emergency regulatory mobilization on both sides of the Atlantic. UK financial regulators are holding urgent talks with the government’s cybersecurity agency and major banks to assess risks posed by Anthropic’s Claude Mythos Preview — days after US Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an emergency meeting with Wall Street’s top CEOs over the same concerns.

In the UK, officials from the Bank of England, Financial Conduct Authority, and Treasury are in talks with the National Cyber Security Centre. Representatives from major British banks, insurers, and exchanges are expected to be briefed on cybersecurity risks at a meeting with regulators within the next two weeks, according to Reuters. The BoE, FCA, and NCSC all declined to comment.

The US response was more public. White House national economic adviser Kevin Hassett confirmed on Fox News that Bessent and Powell had convened bank chiefs — including the CEOs of Citigroup, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs — to warn of cyber risks from the model. JPMorgan CEO Jamie Dimon was unable to attend. The urgency of the meeting reflected the capabilities Mythos Preview has demonstrated in controlled testing: the ability to identify and exploit weaknesses across every major operating system and every major web browser.

Anthropic has stopped short of a broad release, citing concerns the model could expose previously unknown cybersecurity vulnerabilities at scale. The company has been navigating an increasingly complex relationship with the broader tech and media ecosystem as its models grow more capable.

What Mythos Preview is — and who can use it

Despite not being publicly available, Claude Mythos Preview is already in active use — under strict controls. Under a program Anthropic calls Project Glasswing, select organizations have been granted access to the model for defensive cybersecurity work. Partners include Amazon, Microsoft, Apple, Google, Nvidia, CrowdStrike, and Palo Alto Networks. Access has since been extended to approximately 40 additional organizations responsible for critical software infrastructure.

Anthropic says Mythos Preview has already found “thousands” of major vulnerabilities in operating systems, web browsers, and other software. The company has committed up to $100 million in usage credits and $4 million in donations to open-source security groups as part of the program.

The framing is defensive. But the same capability that finds vulnerabilities can, by definition, be turned toward exploiting them — which is precisely what regulators appear to be stress-testing.

Why regulators are moving fast

The simultaneous and independent responses from UK and US financial regulators signal that Mythos Preview represents a qualitatively different kind of AI risk than those regulators have previously had to assess. Prior AI regulatory concerns have centered on bias, misinformation, and systemic market risks — as seen in ongoing debates around AI copyright policy and AI use certification. A model with demonstrated offensive capability against critical software infrastructure — in active use, even in a restricted form — is a different category of problem.

It is also a compressed timeline problem. The model exists. It is being used. The regulatory frameworks to manage it are still being assembled.

All three UK agencies — the BoE, FCA, and NCSC — declined to comment on the talks. Anthropic had not responded to a request for comment at the time of the Reuters report.

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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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Tubi is bringing its 300,000-title library directly into ChatGPT — and betting that the future of entertainment discovery looks a lot like asking a chatbot for recommendations.

The free streaming service, owned by Fox Corporation, announced Tuesday that it has launched a native app inside ChatGPT, becoming what it claims is the first major streamer to integrate directly into OpenAI’s conversational interface. Users can type “@Tubi” in any ChatGPT thread and describe what they’re in the mood for. “A movie that feels like a fever dream but isn’t horror,” for example, and receive curated results pulled from Tubi’s catalog, complete with a direct “Watch on Tubi” link that jumps straight to playback on web or mobile.

The move reflects a broader shift in how platforms are thinking about content discovery. Rather than scrolling through interfaces or searching by title, viewers are increasingly describing intent in natural language and platforms want to be present at that moment of decision. Mike Bidgoli, Tubi’s chief product and technology officer, framed it as a natural extension of how AI agents are becoming a primary way people navigate the internet. “Streaming should feel effortless,” he said. “At the core of Tubi is a deeply scaled personalization and discovery system, trained on more than 1 billion monthly hours of viewing from over 100 million active users.”

The timing aligns with Tubi’s release of its annual Stream 2026 study, which found that 80% of respondents said they would rather watch TV or movies than scroll social media — a signal that audiences are becoming more selective about how they allocate attention, and that discovery friction matters more than ever. For a free, ad-supported service like Tubi, reducing the distance between “I’m bored” and “I’m watching something” is a direct path to more impressions. For publishers broadly, the question of who gets paid as AI reshapes discovery is becoming increasingly urgent.

The ChatGPT integration is also a reminder that streaming platforms are no longer competing just with each other — they’re competing with every interface where a recommendation can surface and a viewing session can begin. The broader battle over how AI accesses and pays for content is playing out across the industry, with the open web losing ground as AI-driven answers reduce the need to click through to original sources.

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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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Artificial intelligence was the single largest reason U.S. employers cited for layoffs in March 2026, responsible for 15,341 of the 60,620 job cuts announced during the month — roughly one in four.

The numbers come from the latest monthly report by outplacement firm Challenger, Gray & Christmas. Overall job cut announcements rose 25% from February, though they remained 78% below March 2025, when the Department of Government Efficiency drove a massive spike in federal workforce reductions. Closings (13,931), restructuring (8,726), and market and economic conditions (6,597) rounded out the month’s other major drivers.

“Companies are shifting budgets toward AI investments at the expense of jobs,” Andy Challenger, chief revenue officer at the firm, said in the report. “The actual replacing of roles can be seen in technology companies, where AI can replace coding functions. Other industries are testing the limits of this new technology, and while it can’t replace jobs completely, it is costing jobs.”

The tech sector led all industries with 18,720 job cuts in March, bringing its first-quarter 2026 total to 52,050 — up 40% from a year earlier and the sector’s highest first quarter since 2023, when the industry recorded 102,391 cuts.

Dell confirmed in a 10-K filing that its headcount fell to 97,000 as of January 30, down from 108,000 a year earlier, citing “ongoing business modernization initiatives.” Oracle has reportedly begun its own round of cuts, and Meta is reducing its Reality Labs workforce as it increases AI spending, the Challenger report noted.

The numbers offer a concrete data point for what has largely been an anecdotal debate about AI’s impact on employment. While headline AI investments continue to draw investor attention — and job postings for AI-related roles remain elevated — the Challenger data suggests the technology is quietly displacing existing positions, particularly in software engineering and technical operations. Year-to-date, AI ranks fifth among all reasons cited for layoffs at 27,645 cuts, or about 13% of total planned reductions — but March’s surge to 25% suggests it is accelerating.

Not all signals point downward. Hiring plans surged in March to 32,826, up 157% from February and 149% year-over-year, though year-to-date hiring remains slightly below 2025 levels. Overall, Q1 2026’s total of 217,362 cuts represents the lowest first-quarter total since 2022.

Still, “More layoffs are likely to come from technology companies in 2026,” the Challenger report warned — a prediction that aligns with what’s already happening across the journalism industry, where AI-driven restructuring is accelerating job losses across both digital and legacy outlets.

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Anthropic accidentally published the source code for Claude Code this morning — 512,000 lines of TypeScript, exposed for hours before anyone pulled it.

Source maps can reconstruct the full, readable source from compiled code. By 4:23 am ET, a developer at Solayer Labs had spotted it, posted a direct download link on X, and the codebase was being mirrored to GitHub and analyzed by thousands of developers across the industry.

Anthropic confirmed the incident to VentureBeat: “Earlier today, a Claude Code release included some internal source code. No sensitive customer data or credentials were involved or exposed. This was a release packaging issue caused by human error, not a security breach. We’re rolling out measures to prevent this from happening again.”

That framing — human error, not a breach — is accurate but undersells the competitive exposure. Claude Code is reportedly generating $2.5 billion in annualized recurring revenue, has more than doubled since the start of the year, and competes directly with Cursor, GitHub Copilot, and a fast-moving field of agentic coding tools. The leaked code gave competitors a detailed look at exactly how Anthropic solved some of the hardest engineering problems in that space.

Among the details developers surfaced: a three-layer memory architecture that keeps AI agents coherent across long coding sessions by maintaining a lightweight index of pointers rather than storing everything; an “autoDream” background process that consolidates the agent’s memory while the user is idle; 44 hidden feature flags; and internal model codenames including Capybara (a Claude 4.6 variant), Fennec (Opus 4.6), and an unreleased model called Numbat. The code also showed internal performance metrics: version 8 of Capybara had a 29-30% false claims rate, a regression from version 4’s 16.7%.

The most discussed detail was what developers called “Undercover Mode” — a system that lets Claude Code contribute to public open-source repositories without disclosing that the commits came from an AI. The leak is the second high-profile setback for Anthropic in recent weeks, following its lawsuit against the Pentagon over the company’s AI safety limits.

The underlying story here isn’t the leak itself — packaging errors happen. It’s that one slip exposed enough proprietary engineering detail that competitors now have a working map of how one of the most commercially successful AI coding tools actually functions. For a company that’s staked its position on responsible AI development and technical differentiation, that’s the real cost.

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Of the 440 applications Texas Tribune chief product officer Darla Cameron received for an AI engineering role, 90% were junk — many apparently written using the very tools candidates were supposed to understand. One application literally read: “Here’s a short response that’ll work for this.”

That anecdote, from Hacks/Hackers and Poynter’s AIxJournalism Day at SXSW, captures the split-screen reality of AI in newsrooms right now: genuinely useful when deployed against real problems, already producing absurd side effects when cargo-culted. Poynter’s Alex Mahadevan spent the day listening to newsroom builders — not theorists — and distilled five lessons worth reading carefully.

Start with a specific pain point. Every AI tool actually being used in newsrooms started with a complaint, not a mandate. Pew Research Center’s audience team was spending 95% of its time writing formulaic social posts and 5% engaging with audiences. A WordPress plugin now drafts the formulaic posts automatically; the team reviews options and moves on. That freed time goes to reading comments and responding to what readers actually ask. “Where is the mundane bullshit work that you’re sick of doing?” said Upasna Gautam of the News Product Alliance. “That is a great pathway.”

Draw the line between AI for thinking and AI for writing. Nebraska Public Media’s chief innovation officer Chad Davis stopped using AI for writing entirely — not good enough. But he uses it constantly as a “curiosity partner” for research and brainstorming. His labs team uses AI for concept art and music prototyping: instead of pitching an idea in a meeting, they show a working prototype. Most newsrooms haven’t drawn that line clearly. If you don’t decide, your staff will make their own inconsistent rules.

Be specific about where the human sits. KQED tested AI to identify notable clips from their hourlong radio show Forum. “I’m not ready to say the AI can choose the four most notable moments,” said editor-in-chief Ethan Toven-Lindsey. “But if you put a producer in the loop to make sure those are the right moments, that felt doable.” SWR, a German public broadcaster, has community managers review AI-flagged comments before anything gets acted on. “Human in the loop” is too vague — the newsrooms getting results name exactly where.

Use AI to get closer to audiences, not further away. The Texas Tribune trained a chatbot on its school voucher coverage. When readers asked questions the Tribune’s reporting hadn’t addressed, reporters got story ideas. Pew studied what creators do differently from traditional newsrooms and found a feedback loop: they read comments, answer questions, and build new content from what audiences ask. Any AI strategy that doesn’t free up staff time for that kind of direct audience engagement is probably solving the wrong problem.

Learn to build things yourself. This is the one that cuts across every other lesson. Mahadevan — not a software engineer — built a fact-checking research tool prototype for PolitiFact on vacation using AI coding assistants. Agentic coding tools like Claude Code have lowered the floor dramatically. Trei Brundrett of New_Public said it reminds him of the early web, when gatekeeping vanished and anyone could just build. “The newsroom people who pick up that skill are going to have an outsized advantage,” Mahadevan writes. The ones waiting for someone else to build it for them will be waiting a long time.

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It’s the first week of March, and the journalism industry has already absorbed a wave of layoffs that would have defined a full year just a few years ago.

Press Gazette’s rolling 2026 tracker documents cuts at the Washington Post, Atlanta Journal-Constitution, Politico, Nexstar Media Group, Vox Media, Bustle Digital Group, CNBC, the Wall Street Journal and more — all within the first two months of the year. In 2025, the full-year journalism job cut count reached at least 3,434 in the UK and US. In 2024, it was at least 3,875. This year’s pace suggests both figures will be eclipsed well before summer.

The specifics

The Washington Post has proposed cutting hundreds of staff — roughly one-third of the organization. The Atlanta Journal-Constitution announced approximately 50 cuts, or 15% of its workforce. Politico started the year by trimming 3% of staff.

At Nexstar Media Group, cuts have hit on-air talent and reporters across multiple major markets. The Los Angeles Times reported that “several on-air veterans” were cut at Los Angeles’s KTLA, at least three on-air positions were eliminated at New York’s WPIX and 21 people were cut at Chicago’s WGN — including nine reporters and anchors. WGN also eliminated six news writers and three technical director positions.

“A lot of really good people lost their jobs today, and it’s a shame,” WGN weekend morning anchor Sean Lewis said, per the Chicago Tribune.

At CNBC, a newsroom restructuring to merge its TV and digital operations will result in nearly a dozen layoffs including the website’s managing editor, though the network says it expects to hire more than 40 new editorial roles across platforms over the next year.

AI’s role: contributing factor or convenient cover?

The relationship between AI adoption and these layoffs is murky — and worth being careful about.

Newsrooms facing financial pressure are quick to cite digital disruption, changing consumption habits and advertising headwinds. AI is part of that story, but it’s not yet clear how large a part.

Mediabistro’s analysis of the media job market notes that the combined toll from one major merger alone — roughly 10,000 positions eliminated, about 8% of a merged workforce — reflects economic consolidation as much as automation. Cuts at companies like Amazon and Block have explicitly cited AI in their public messaging. Media companies have been more circumspect.

What’s happening in many newsrooms is a combination: cost pressure accelerated by the deterioration of search-driven referral traffic (Google’s AI Overviews have measurably reduced click-throughs to news sites), the slow collapse of print advertising revenue and a genuine rethinking of what roles are essential as AI tools absorb more routine tasks.

The result is fewer reporters, thinner copy desks, and more pressure on the journalists who remain to produce more.

What it means for the industry

Several things are simultaneously true right now:

The economic model is broken for many local and regional outlets. This is not new, but 2026 is producing a more acute phase of the collapse.

AI is being adopted most in precisely the places that have the least capacity to vet its outputs. Resource-strapped local newsrooms — the ones most likely to experiment with AI-drafted copy — are also the ones least likely to have robust fact-checking infrastructure.

Some cuts are being reframed as transitions. CNBC says it will net-add editorial roles. Iconic Media (formerly National World), in cutting 17 jobs at two city websites, says a net increase of 40 to 50 positions will follow as it pivots back toward embedded local journalists.

Whether those hires actually materialize — and in what form — is the real question. The pattern of media companies announcing new digital-first roles to soften the blow of cuts to traditional newsroom jobs has a long and frequently disappointing track record.

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The numbers are in, and they’re bad. A new analysis of web traffic to 10 major tech and media outlets finds that Google search referrals have collapsed since the company rolled out AI Overviews — the summaries that now appear above traditional search results and answer user queries without requiring a click.

SEO firm Growtika tracked Ahrefs data from early 2024 to January 2026. At their peak, the ten outlets combined received 112 million monthly visits from US Google users. By January of this year, that number had fallen to just under 50 million — a drop of more than 55 percent industry-wide.

For some outlets, the decline is nothing short of catastrophic.

Digital Trends went from 8.5 million clicks per month in March 2024 to 264,861 in January 2026 — a 97 percent collapse. The Verge, HowToGeek, and ZDNet each lost more than 85 percent of their Google-referred traffic over the same period. Wired lost 62 percent. Even Mashable, the analysis’s best performer, shed 30 percent of its traffic.

Growtika’s analysis notes that the four worst-hit publications now receive less combined monthly web traffic than the r/ChatGPT subreddit.

What’s driving it

The firm identifies three compounding factors: the rollout of Google AI Overviews beginning in mid-2024; algorithm changes that boosted Reddit in search rankings; and the growing number of users who skip Google entirely in favor of AI chatbots like ChatGPT and Perplexity.

The steepest declines came in mid-2025, when Google significantly expanded the range of queries that trigger an automatic AI summary. By July of last year, roughly 25 percent of all Google searches generated an AI Overview — meaning a quarter of all searches were being answered without a click.

Google pushed back on the analysis in a statement to Futurism, calling it “fundamentally flawed” for examining too small a sample and failing to account for seasonal traffic variation. The company also cited shifting audience preferences toward podcasts and forums. That defense will ring hollow for publishers whose traffic data tells a different story.

What it means for newsrooms

For journalists and editors focused on AI’s impact on journalism, the traffic story is often framed as a future threat. This data suggests it is a present reality.

Publishers built audience development strategies around search-optimized evergreen content — explainers, how-tos, reference pieces — that now trigger AI Overviews instead of clicks. That content, which represented a reliable traffic baseline for many outlets, has been effectively nationalized by Google’s summary layer.

The outlets hit hardest are tech-focused publications — the same ones most likely to have invested heavily in SEO-optimized evergreen content. News organizations with strong breaking news operations may have more protection, since real-time journalism still generates “Top Stories” placement that AI summaries can’t fully replicate.

But the broader lesson is stark: the deal that sustained digital media for a decade — produce content, get traffic from Google, sell ads against that traffic — is deteriorating faster than most newsroom business models have adapted to account for it.

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