Google has a publisher problem. AI Overviews, the AI-generated summaries that now appear at the top of search results for a growing share of queries, have been correlated with a 58 per cent reduction in click-through rates to the websites whose content those summaries are built on. Penske Media has filed an antitrust lawsuit. The European Publishers Council has filed a formal complaint with the European Commission. A third of publishers surveyed say they will block AI Overviews once the tools to do so become available. And Google’s search advertising business, which generated more than 50 billion dollars in the first quarter of 2026 alone, depends on the continued existence of the web content that AI Overviews are systematically disincentivising publishers from producing. On Tuesday, Google announced five updates to AI Mode and AI Overviews designed to send more traffic back to the websites it has been accused of cannibalising. The updates are Google’s most direct acknowledgement yet that AI search and the open web have a relationship problem, and its most concrete attempt to argue that the relationship can be repaired.

The features

The most significant addition is Further Exploration, a new section that appears at the end of AI Overviews with curated links to specific articles, case studies, and reports related to the query. The section is designed to transform the AI summary from a destination into a departure point, giving users who want to go deeper a structured path to the source material rather than leaving them with an answer that renders the original content unnecessary. Google is also introducing inline link context on desktop: hovering over a link embedded in an AI Overview will now display the name of the website or page title, addressing what the company describes as user hesitancy to click links when they are unsure where they lead.

Three additional changes target specific use cases. AI Mode and AI Overviews will begin labelling links from a user’s active news subscriptions so they stand out in results, a feature Google says early testing showed made users “significantly more likely” to click. AI responses will also surface previews of perspectives from public forums such as Reddit, social media, and other firsthand sources, with context including the creator’s handle or community name. And Google is expanding the display of product review cards and comparison features within AI Overviews for shopping queries, adding more direct links to retailer and review sites. Taken together, the five updates represent a concerted effort to make AI Overviews more porous: more links, more context around those links, and more reasons for users to click through to the websites that generated the information the AI is summarising.

The problem

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The updates arrive in the context of an existential confrontation between Google and the publishers whose content powers its search engine. An Ahrefs study published in February 2026 found that AI Overviews correlate with a 58 per cent reduction in click-through rates for top-ranking pages, nearly double the 34.5 per cent decline documented in April 2025. The Pew Research Center found that only eight per cent of users click on traditional search results when an AI Overview is present, compared to 15 per cent when no overview appears. Digital Content Next, which represents major digital publishers, reported that most of its members experienced traffic losses between one and 25 per cent, with some reporting declines exceeding 75 per cent. Chartbeat data tracking more than 2,500 news sites globally showed that Google search referrals declined by 33 per cent in 2025.

The European Commission has told Google what it must do to share search data with rivals under the Digital Markets Act, proposing six specific areas of obligation including how Google must provide third-party search engines and AI chatbots with access to search index data. The EU has also launched a separate antitrust investigation into whether Google’s AI Overviews and AI Mode violate competition rules by using publisher content without appropriate compensation and without allowing publishers to refuse without losing access to Google Search. In the United States, the Department of Justice won its antitrust case against Google, with a federal judge prohibiting exclusive contracts relating to the distribution of Google Search and ordering behavioural remedies, though the DOJ is considering whether to appeal for additional structural relief.

The tension

Sundar Pichai’s vision for Google is to transform Search from a retrieval engine into an agent manager, a platform that does not merely find information but acts on it. The plan, articulated at Google Cloud Next 2026, positions AI agents as the next interface layer between users and the web, with Google’s models interpreting queries, synthesising answers, and executing tasks across services. The strategic direction is clear: Google wants users to interact with AI, not with websites. But the business model depends on those websites continuing to exist, continuing to produce content, and continuing to attract enough traffic that advertisers will pay to appear alongside their pages. The five updates announced on Tuesday are an attempt to square this circle, to keep AI Overviews as the primary interface while creating enough clickthrough to sustain the web ecosystem that feeds them.

Google’s repositioning of Chrome as an agentic AI workplace tool underscores the direction of travel. The browser that once existed to connect users to websites is being rebuilt as an autonomous agent that completes tasks without requiring users to visit individual sites at all. The trajectory from AI Overviews to agentic browsing to fully autonomous agents suggests that the five publisher-friendly updates are a tactical concession within a strategic movement that is structurally reducing the value of the open web to Google’s users. Publishers are aware of this tension. The European Publishers Council’s complaint specifically argues that Google’s approach amounts to a forced choice: accept unlicensed use of content for AI training and AI-generated answers, or risk losing the search traffic that sustains digital publishing.

The calculation

The economics of AI search are fundamentally different from the economics of link-based search. A user who receives a complete answer from an AI Overview has no incentive to click through to a publisher’s website. A publisher whose content is summarised in an AI Overview receives no compensation for the content used and no traffic from the summary generated. The advertising model that sustained both Google and publishers for two decades depended on imperfect information: users searched, found promising links, clicked through, consumed content, and encountered ads. AI Overviews collapse this chain by providing the answer directly, eliminating the click, and stranding the advertising that was attached to the destination page. Google is simultaneously investing billions in custom AI inference chips to reduce the cost of generating those overviews at scale, which means the economic incentive to expand AI answers to more queries will only intensify.

Google’s five updates attempt to rebuild some of the click incentive that AI Overviews have destroyed. Further Exploration sections add links. Subscription labels add familiarity. Inline context adds transparency. Forum perspectives add social proof. Product cards add commercial intent. Whether these additions are sufficient to reverse a 58 per cent decline in clickthrough rates, or whether they are window dressing on a structural shift that has already occurred, will be determined not by Google’s announcements but by the traffic data that publishers track in the months that follow. Google’s broader strategy is to make AI the interface for everything, from search to workspace to enterprise to commerce. The open web is the content layer that trains and feeds that interface. The question Google has not answered, and that Tuesday’s updates do not resolve, is what happens to the content layer when the interface no longer sends it traffic. The updates are a gesture. The trajectory is unchanged.

On Wednesday, xAI and Anthropic announced a surprise partnership that has the Claude-maker buying out “all of the compute capacity at [xAI’s] Colossus 1 data center,” roughly 300MW that allowed Anthropic to immediately raise its usage limits. It’s a huge deal for xAI, likely worth billions of dollars. More importantly, it immediately monetized one of the company’s most impressive accomplishments, turning xAI from a consumer to a provider of compute. 

It’s tempting to see the arrangement as a shot at OpenAI amid the ongoing lawsuit. But Musk’s explanation on X was that xAI had already moved training to a newer data center, Colossus 2, and xAI simply didn’t need them both. 

In the short term, there’s an obvious logic at work. xAI’s existing products are mostly focused on Grok, which has seen plummeting usage since the image generation debacles earlier this year. If xAI’s data center buildout is much more than what Grok needs to operate, partnering with Anthropic adds a lot of green to the balance sheet. This is especially useful as the company, now combined with SpaceX, speeds toward an IPO. More broadly, having Anthropic lined up as a customer makes it easier to believe that SpaceX’s orbital data center play might actually work. 

But beyond the short-term benefit, the Anthropic partnership sends an unusual message about where Elon Musk’s priorities really lie. It suggests the company’s real business may be more about building data centers than training AI models. 

It’s rare to see a major tech company treat compute resources this way when companies like Google and Meta, which are also training models, are building more data centers. It’s an easy point to miss, because so many of these companies are working as enterprise AI vendors, online services, and cloud providers all at once. But when forced to make a choice between selling more available compute to customers and preserving some to build their own tools, they reliably choose door No. 2. 

Just last month, Sundar Pichai admitted on a call that Google Cloud revenue was lower than it could have been because the company was “capacity constrained” — and when given the choice of renting out their GPUs or using them to develop AI products, Google chose the AI products. 

Facebook has faced a more extreme version of the same constraint, spinning up an entirely new cloud apparatus just to ensure they would have enough GPU power to chase Mark Zuckerberg’s AI ambition. As he put it when announcing Meta Compute in January, “How we engineer, invest, and partner to build this infrastructure will become a strategic advantage.” 

The key word there is “strategic.” Both Zuckerberg and Pichai are looking toward a future where AI is powering the most popular and lucrative systems in the world. Computing power isn’t just a way to satisfy today’s inference demand, but to build tomorrow’s products — and running short on compute means missing out on that chance.  

By focusing on data centers (earthbound and otherwise), xAI is positioning itself more like a neocloud business: buying GPUs from Nvidia and renting them out to model developers like Anthropic. It’s a far more difficult business, squeezed by both chip suppliers and the shifting cycles of demand. The valuations for most active neoclouds reflect that reality: xAI was valued at $230 billion in its January funding round; CoreWeave, which oversees a comparable quantity of computing power, is worth less than a third of that. 

Musk’s version of a neocloud is more ambitious, as you might expect. Some of the data centers might be in space — at least by 2035, if things go according to plan. xAI will be making its own chips at the Terafab, which will take away some but not all of Nvidia’s pricing power. But none of it changes the basic economics of the neocloud business. 

As recently as the February all-hands, xAI had real ambitions in software. That was the presentation that unveiled the orbital data center project, but it also teased significant ambitions in coding (since bolstered by the Cursor partnership) and interesting ideas like leveraging computer use into full-scale digital twins (in the unfortunately named Macrohard project). These are the kind of long-horizon projects that need committed computing resources to succeed. As long as xAI is selling large quantities of compute to its competitors, it’s hard to think such new ambitions have much of a future.

Google is updating AI Overviews and AI Mode, the AI-generated portions of its search engine, to highlight sources in new ways, and interestingly, more prominently feature first-hand accounts from social media, expert blogs and forums like Reddit.

Via a new section that can appear in AI responses, Google will display “a preview of perspectives from public online discussions, social media and other firsthand sources.” In the sample screenshot the company provided, the section was called “Expert Advice” and included quotes from forums, WordPress blogs and Reddit. These were arranged above links to their respective sources. Google plans to add more context to these links, too, showing “a creator’s name, handle or community name,” so you can judge what you might want to click through and read from a glance.

Google will also start recommending in-depth articles at the end of AI responses for further exploration of a given topic, and link to more sources directly in its generated answers rather than just at the end. If you subscribe to any publications, AI responses will also highlight sources from the subscriptions you link to your Google account.

Given the rapid progress of AI in general, AI Overviews and AI Mode have been pretty consistently iterated on since Google launched them in 2024 and 2025, respectively. Pulling from Reddit and other online social platforms isn’t exactly a new strategy for the company, either — at least one early AI Overview hallucination was caused by information from Reddit. It is perhaps telling Google plans to cite the platform more prominently now, though, because Reddit is considered by some to be a more useful source of information than Google. Even more this update, the search engine has been prominently featuring Reddit links in standard search results.

Whether adding more links and recommending long-form reporting makes a meaningful difference for the dwindling number of publications Google pulls from is another story, however. As of 2025, Google claimed that its AI search tools were leading to more searches and more “high-quality clicks” on the websites it cites. Regardless of how much the company tinkers with its AI responses, though, one outcome of AI Overviews and AI Mode is the creation of scenarios where you don’t have to click away to another website at all, because Google answered your question for you.

Update, May 6, 5:30PM ET: This story was updated after publish to include information from Google that the title of the section is dynamic, rather than called Expert Advice.

• Four Android banking trojan campaigns target hundreds of finance and social apps
• Malware hides icons, blocks removal, and overlays fake banking login screens
• Live screen streaming lets attackers monitor activity and capture authentication steps

Security researchers have tracked four Android banking trojan campaigns that rely on deception, stealth, and disappearing app icons to stay hidden out of sight after installation.

Researchers at Zimperium say the campaigns, named RecruitRat, SaferRat, Astrinox, and Massiv, collectively targeted more than 800 banking, cryptocurrency, and social media apps.

RingConn has launched its latest smart ring, and it’s going straight after Samsung with one standout claim: battery life that’s double that of the Galaxy Ring.

The new RingConn Gen 3 lasts up to 14 days on a single charge (with the caveat that haptics are turned off) compared to the seven-day estimate on Samsung’s Galaxy Ring. That alone makes it one of the longer-lasting smart rings currently on the market, and appeals to users who don’t want another device to charge every few days.

Battery aside, RingConn is also leaning further into health tracking. The Gen 3 focuses on vascular health insights, alongside features like sleep tracking and sleep apnea monitoring. There’s also a planned blood pressure tracking feature, but it’s not available at launch and will instead arrive in a future update. As expected, it’s positioned as a trend-tracking tool rather than a medical-grade replacement.

The ultra high-end loudspeaker category has been rather busy in 2026, which is either a sign that the market still has serious money to spend or that nobody in this business knows how to tap the brakes. Wilson Audio has already made a very large statement with the $788,000 per pair Autobiography, while Børresen’s M8 Gold Signature pushes the conversation into seven figure territory. Now YG Acoustics has entered the same rarefied air with Titan, the first model in its new flagship Ultimate Range and arguably the most talked about new loudspeaker at AXPONA 2026.

This is not a speaker aimed at the casually curious. Titan is YG’s attempt to plant a flag at the top of the mountain, where the air is thin, the rooms are large, and your bank account needs to barely flinch when the invoice is opened.

Attack of the Titans?

Five years of research and three years of product development later, YG Acoustics has arrived at Titan, the most ambitious loudspeaker the company has released to date. It is the first model in YG’s new Ultimate Range and is designed to showcase the brand’s latest engineering work while pushing further into the ultra high end loudspeaker category.

Titan is not trying to disappear visually. It stands approximately 7 feet tall, or 84.5 inches, and weighs about 1,000 pounds. That is half a ton before the crates, the room treatment, and the quiet conversation with your financial advisor. Inside the cabinet, YG uses a seven driver symmetrical array supported by a custom designed sub bass driver.

YG Acoustics Titan Versions & Pricing

YG Acoustics offers the Titan in three configurations, giving ultra high-end buyers some room to choose between passive operation, active sub bass support, and a fully active system. “Some room” being relative when the starting point is $880,000 per pair.

Titan Passive: $880,000 per pair

The Titan Passive is a fully passive five-way loudspeaker that uses an external crossover with YG Acoustics’ Ultracoherent circuits. Crossover points are specified at 35 Hz, 90 Hz, 360 Hz, and 1.85 kHz.

Titan with Active Sub: $910,000 per pair

The Titan with Active Sub uses a passive four-way system with an external crossover and Ultracoherent circuits at 90 Hz, 360 Hz, and 1.85 kHz. Sub-bass duties are handled by a dedicated external 1,000-watt amplifier with DSP tuned crossover control for the 12.5-inch (32 cm) driver, including room correction support. The active sub-bass section is time aligned to integrate with the passive drivers.

Titan Live: $1,000,000 per pair

The Titan Live is the fully integrated active version of YG Acoustics Titan. It includes dedicated amplification and DSP for each channel, covering the high, midrange, low, and sub bass sections. Each tower is partnered with an external amplifier using 8 x 700-watts with an optimized DSP crossover.

The system connects to the Live Controller using glass fiber optic cables, with support for Roon Ready streaming, analog and digital inputs, and a high quality phono stage. In other words, this is the version for buyers who want the full YG ecosystem, not just a pair of loudspeakers and a nervous conversation with their amplifier dealer.

The Drivers

High frequencies are handled by YG’s lattice tweeter set inside a unique oval waveguide flanked by proprietary YG aluminum cone drivers arranged symmetrically above and below it: a pair of 15 cm (6-inch) mid-range drivers, a pair of 18 cm (7.25-inch) mid-bass drivers, and a pair of 26 cm (10.25-inch) bass drivers.

The tweeter, midrange, mid-bass, and bass array is supported by a custom 32 cm (12.5 inch) YG aluminum cone sub bass driver with an ultra high field magnet structure. YG says each driver is phase aligned across a wide frequency range to support a point source presentation.

The goal is improved clarity, more precise imaging, and a wider listening area. That matters with a loudspeaker this large, because nobody spending this kind of money wants to sit with their head locked in one exact spot like they are being scanned for replicant behavior.

More details are included in the specifications chart later in the article.

Driver array includes:

• One 26 mm (1”) Tweeter: Proprietary YG Lattice hybrid construction
• Dual 15 cm (6 inch) midrange drivers: Proprietary YG aluminum cone drivers with neodymium magnets and close pair matching.
• Dual 18.5 cm (7.25 inch) midbass drivers: Proprietary YG aluminum cone drivers with neodymium magnets and close pair matching.
• Dual 26 cm (10.25 inch) bass drivers: Proprietary YG aluminum cone drivers with ultra high field magnets and close pair matching.
• 32 cm (12.5 inch) sub bass driver: Proprietary YG aluminum cone driver with an ultra high field magnet and close matching.

Cabinet Construction

The Titan cabinet uses a five layer construction, another example of YG Acoustics’ focus on structural rigidity, resonance control, and fit and finish.

The side panels use three layers of aerospace grade aluminum alloy, with precision engineered damping materials between them. That creates the five layer structure and gives the cabinet additional stiffness without relying on brute mass alone.

The front faceplates are machined from solid aerospace grade aluminum measuring 75 mm, or 3 inches, thick. YG says the aluminum is heat treated to optimize its crystalline structure before being milled to extremely tight tolerances.

Inside the cabinet, Titan uses advanced bracing, composite resin damping, and computationally optimized diffuser and absorber structures to reduce internal resonances and help the drivers operate with fewer cabinet related distortions.

In addition, the subwoofer section at the bottom maximizes cabinet volume by tapping into a channel that runs up the entire back of the Titan.

The Passive Crossover

The passive crossover is the result of the art and science of speaker engineering. The crossover is built on bespoke multi-layer PCB material with advanced dielectric properties and internal resonance damping.

Each crossover circuit is precisely milled in-house from extra-thick, high-purity copper, with traces optimized through simulation to eliminate interference and distortion. The crossover is housed externally in an enclosure crafted entirely from a specially selected polymer material. The external placement eliminates any field interactions with the crossover signal.

YG Acoustics Titan Specifications

The Bottom Line 

The YG Acoustics Titan is not just the first model in the company’s new Ultimate Range. It is YG’s statement that it wants a seat at the same very expensive table as the Wilson Audio Autobiography, Børresen M8 Gold Signature, and Sonus faber Suprema. That table does not come with a kids’ menu.

What makes Titan interesting is not one single trick feature, but the complete system approach: a massive seven driver symmetrical array, dedicated 12.5-inch sub bass driver, five layer cabinet construction, phase aligned driver integration, and three available configurations: passive, active sub bass, and fully active Titan Live. That flexibility is unusual for a loudspeaker at this level, especially when buyers can choose between traditional external amplification, active low frequency support, or a complete YG controlled ecosystem with amplification, DSP, streaming, digital inputs, analog inputs, and a phono stage.

Prospective buyers need to think beyond the loudspeaker price. The passive and active sub versions still require serious amplification, sources, cabling, setup expertise, and a room large enough to let a 7 foot tall, 1,000 pound loudspeaker breathe. With output extending below 20 Hz and up to 40 kHz, a 4 ohm average impedance, and a 2.4 ohm minimum load, Titan is not something you casually drop into a living room next to the sectional and hope for the best. It needs space, power, proper setup, and a system built around it.

Titan is aimed at listeners who already understand the cost of entry in the ultra high-end category and want YG’s most ambitious expression of scale, control, and engineering. Everyone else can admire it from a safe distance, preferably outside the freight elevator.

Price & Availability

YG Acoustics Titan (aluminum version) is available now through Authorized Dealers in three configurations:

• Titan Passive – $880,000 per pair
• Titan w/Active Sub – $910,000 per pair
• Titan Live – $1,000,000 per pair

A gold version is also available for roughly $2 million per pair, depending on market pricing and thickness of gold plating.

Sound Clip from AXPONA 2026

For more information: yg-acoustics.com

Related Reading:

• 15,500 domains were actively used to deliver cloaked AI investment scams
• Cloaking ensures harmful content is shown only to targeted victims
• Commercial tracking software allows cybercriminals to scale operations without building infrastructure

Cloaking has shifted from a supporting tactic into a central layer of cybercriminal infrastructure, and commercial tools are now widely embedded in cybercrime operations at scale.

A four-month analysis of malicious activity by Infoblox and Confiant identified roughly 15,500 domains linked to malicious tracker deployments.

Billionaire media mogul Barry Diller doesn’t think OpenAI CEO Sam Altman is untrustworthy, despite recent reporting to the contrary. Onstage at The Wall Street Journal’s “Future of Everything” conference this week, Diller vouched for the AI exec, who has been accused by some former colleagues and board members of being manipulative and deceptive at times.

Diller, who is friendly with Altman, was responding to a question about whether or not people should put their faith in Altman to ensure that artificial intelligence benefits humanity.

In particular, he was asked about the theoretical form of AI known as artificial general intelligence, or AGI, which could one day outperform humans on any task.

The media exec, a co-founder of Fox Broadcasting and chairman of IAC and Expedia Group, said that while he believes Altman is sincere in his pursuits, that’s not really the area of concern people should be focused on. Rather, it’s the unknown consequences that will result from AI.

“One of the big issues with AI is it goes way beyond trust,” Diller said. “It may be that trust is irrelevant because the things that are happening are a surprise to the people who are making those things happen. And I’ve spent a lot of time with various people who’ve been in the creation mode of AI, and they have a sense of wonder themselves. So…it’s the great unknown. We don’t know. They don’t know,” he explained.

“We have embarked on something that is going to change almost everything. It is not under-reported. Now, whether these huge investments are going to come through — I couldn’t care less. I’m not invested in it, but progress is going to be made,” Diller added.

Still, the media mogul said he believes that most of the people leading the charge are good stewards, saying he believes that Altman is sincere and “a decent person with good values.” (Diller wouldn’t say which of the AI leaders he thinks is insincere, we should note.)

“But the issue is not their stewardship. The issue is … it’s dealing truly with the unknown. They don’t know what can happen once you get AGI, and we’re close to it. We’re not there yet, but we’re getting closer and closer, quicker and quicker. And we must think about guardrails,” Diller noted.

Plus, he warned, if humans don’t think about guardrails, then the alternative is that “another force, an AGI force, will do it themselves. And once that happens, once you unleash that, there’s no going back,” Diller said.

Meta is beefing up its age-verification mechanisms with an AI system that analyzes images and videos on Instagram and Facebook for “visual cues,” such as height and bone structure, to identify and delete accounts of users under the age of 13. The company announced the move amid a wave of cases in which hundreds of children have managed to evade social network access restrictions, even through simple tricks such as drawing on a mustache.

The new approach is part of a series of measures Meta adopted as part of an AI-based security strategy designed to correct the limitations of traditional methods, which rely heavily on self-reported age. With this change, the company seeks to reduce the ease with which minors access platforms that, in theory, are restricted to them.

In a press release, Meta explained that it is implementing several tools to identify contextual indicators that allow estimating a person’s age. This process includes the analysis of posts, comments, bios, and descriptions, with special attention to references related to school years or birthday celebrations—elements that can offer clues about the real age of the person who manages the account.

These tools are in addition to automated analysis techniques aimed at detecting physical traits from imagery shared to Meta’s social platforms. These include characteristics such as height and bone structure. Meta is careful to stipulate that this system is not face recognition, as it does not seek to identify specific individuals in images or videos. Instead, the company notes that, “by combining these visual insights with our analysis of text and interactions, we can significantly increase the number of underage accounts we identify and remove.”

If, based on these elements, Meta suspects that an account is managed by a child under 13, it will be suspended. The user will have to revalidate their age using the procedures established by the company to regain access; otherwise, the profile will be permanently deleted.

Meta also announced that it will expand the scope of its technology to detect users between the ages of 13 and 15 and automatically assign them teen accounts. This type of profile incorporates content restrictions and parental controls enabled by default, with the aim of providing a safer environment for this age group.

Meta began implementing age-verification tech in 2024 for Instagram users in the United States, Australia, Canada, and the United Kingdom. Now, the mechanism will be extended to Instagram accounts in Brazil and 27 European Union countries. In addition, these practices will be applied for the first time to Facebook users in the US, with plans to expand to the EU and UK next month.

Looking All Grown-Up

The new measures have been interpreted as a response to a preliminary ruling recently issued by the European Commission, which concluded that the company led by Mark Zuckerberg is in breach of the Digital Services Act for allegedly failing to effectively prevent children under 13 from using its platforms. The EU body found that the company lacks sufficiently effective mechanisms to block such access and that its current systems for identifying and suspending accounts below the age threshold are insufficient.

These criticisms are supported by the results of a survey conducted by the nonprofit Internet Matters. After surveying nearly 1,300 children and their parents in the UK, the study revealed that approximately one-third of children have successfully evaded government-imposed restrictions on access to social networking sites. In some cases, the methods employed are particularly striking.

The report, titled “The Online Safety Act: Are Children Safe Online?” showed that 46 percent of 9- to 16-year-olds believe that circumventing age controls is very easy. In total, however, only 32 percent admitted to breaking the rules.