Apple CEO John Ternus doesn’t have a timeline for whenever iPhone Duo provision constraints could lift. During an discussion alongside Reuters, Ternus stated the business is “working difficult to get it to as many customers as quickly as possible, but at this ​point, we’re not capable to foretell whenever provision and petition volition be in balance.”

Apple launched its archetypal foldable final duration for $1,999, featuring a 5.4 external display and 7.6-inch inner screen. Preorders for the iPhone Duo quickly sold out, alongside several shipments expected to attain in 2027. Apple also made a constricted figure of iPhone Duo models accessible in-store at launch.

In his discussion alongside Reuters, Ternus additionally addressed reports about cracked screens, saying “a extremely small percentage” of iPhone Duos were returned for this issue, and that Apple is replacing them.

The business has contended alongside provision sequence constraints and rising recollection expenses for months now. This resulted in price increases across its merchandise lineup, alongside alongside higher iPhone 18 Pro and Pro Max starting prices. “What we’re seeing alongside recollection pricing correct now is unprecedented,” Ternus stated during Apple’s Q4 2026 earnings call on Monday. Ternus added that the business expects to see “even higher recollection costs” during Apple’s December quarter, but notes that this is “partly offset” by latest cost increases.

David Ellison has assembled a guidance squad that he hopes volition assistance Skydance vie alongside media powerhouses akin Netflix and Disney.

Skydance has unveiled the executives who volition oversee its streaming, tech product, TV, sports, and promotion teams, weeks following completing the mega-merger between Paramount and Warner Bros. Discovery.

Ellison's media giant informed workforce of changes to their teams in latest weeks and sent a companywide email on Friday evening alongside links to memos detailing Skydance's new leadership.

Business Insider earlier reported on the new leaders for Skydance's merchandise and tech teams under merchandise chief Dane Glasgow, as fine as its advertising unit under Jay Askinasi, the chief income authoritative for advertising.

We're now publishing org charts for all of the teams outlined in Skydance's email blast to employees, several of which haven't been earlier reported.

It's the clearest image yet of Ellison's guidance squad as the media mogul tries to rotate the new-look Skydance into a streaming chief — armed alongside satisfied from HBO, studios Warner Bros. and Paramount Pictures, CNN, CBS, and cable networks akin HGTV, TNT, and MTV.

Several top executives are out amid Skydance's guidance shake-up, including erstwhile Paramount streaming chief Cindy Holland and Warner Bros. movie co-chairs Pam Abdy and Mike De Luca.

Skydance's merchandise and tech teams volition be led mostly by Paramount execs, as erstwhile WBD leaders specified as tech chief Avi Saxena and streaming merchandise chief Tyler Whitworth volition exit the company. However, Skydance's streaming endeavor is headlined by longtime HBO chief Casey Bloys and a figure of leaders from the WBD side.

Below are the 12 org charts in the command that they appear in the memos or authoritative documents. We've added links to certain names for group we've covered for additional reading. Role descriptions are stated in quotes whenever particular titles weren't included.

Inside Skydance's administrator guidance team

Here are the straightforward reports to David Ellison, chairman and CEO, and Ynon Kreiz, co-CEO:

Here are the straightforward reports to Andy Gordon, president:

Who runs Skydance's streaming, product, and satisfied businesses

Here are the straightforward reports to Casey Bloys, co-chair and chief satisfied authoritative of Skydance DTC:

Here are the straightforward reports to Dane Glasgow, chief merchandise officer:

Here are the straightforward reports to JB Perrette, co-chair and chief endeavor officer, Skydance TV and DTC:

Here are the straightforward reports to George Cheeks, co-chair and satisfied chief of Skydance TV:

Here are the straightforward reports to David Berson, chairman of Skydance's earth sports group:

Who heads up Skydance's revenue, finance, and operations teams

Here are the straightforward reports to Jay Askinasi, chief income authoritative for advertising:

Here are the straightforward reports to Dennis Cinelli, chief financial officer:

Here are the straightforward reports to Jim Sterner, chief group officer:

Here are the straightforward reports to Jose Turkienicz, chairman of earth operations:

Here are the straightforward reports to Melissa Zukerman, chief communications officer:

Do you activity for Skydance or have a tip? Contact this newsman via email at jfaris@businessinsider.com or Signal at jamesfaris.01.

© 2026 Apple Inc. All entitlements reserved. Apple and the Apple logo are trademarks of Apple. Other business and merchandise names may be trademarks of their corresponding owners.

The chief of NASA is position up against online criticism of the copilot in the Learjet 60 personal plane that wrecked in South Florida on Sunday.

Jared Isaacman, the NASA director who is additionally a pilot, stated he was speaking out in a individual capability to location several of the reactions to the crash, which killed nine people. Authorities have not stated what caused the crash, and the identities of the pilots and the passengers have not been released, but a record of a female copilot's mayday calls in the moments preceding the collision sparked reactions online.

"I awareness compelled to article following seeing commentary concerning the Lear 60 crash, from missile strikes to DEI to critiquing this mediocre woman's final broadcast calls," Isaacman wrote in an X article on Monday. "That final part is what I discover most troubling."

"She was the second-in-command (SIC), and during she was empowered to item out mistakes as part of fine squad asset management, she was doing her job, communicating alongside ATC correct to the end in a terrifying situation. She apt knew before many of those calls that she was going to die," he continued.

Isaacman stated he understood the community involvement but that many factors remained unknown, including "the aircraft's care history, whether there was a structural failure, if any nonaccomplishment was induced by turbulence, overspeed, or overcontrol, or everything happening in that cockpit."

He additionally stated that the charter industry frequently hires early-career commercial pilots who need to acquire cognition alongside airline-qualified pilots, adding the copilot would motionless have the necessary training and qualifications.

"Let group investigate, learn, and portion the facts. Be respectful to those who perished and the families who transport their memories," he added.

The aircraft had departed from Austin and was en path to the Bahamas whenever it entered Florida on Sunday. It descended 27,000 feet in concerning a infinitesimal before crashing into the ground, data from FlightRadar24 showed.

Officials from the National Transportation Safety Board have stated that climate is a important concentration of the inquiry into the crash. South Florida informed general thunderstorms on Sunday, alongside aviation climate data showing dense rain, low visibility, and average turbulence.

Mark Stephens, a former Delta Air Lines pilot, told Business Insider that climate could have played a function and warned against jumping to location accuse on the pilots.

"Everybody's jumping to conclusions concerning the pilot; it's akin Monday dawn quarterbacking. 'Oh, it's her fault,'" Stephens said. "Well, that's a burden of crap. And she wasn't equal the captain."

Apple had a record-breaking fourth for iPhone revenue — notwithstanding not releasing a norm example during its latest refresh. In its fourth-quarter earnings report released on Monday, Apple says it earned $57.58 milliard in iPhone revenue, a 17 percent jump from the identical period final year.

Like another device-makers, Apple has been dealing alongside provision sequence constraints and rising recollection costs, foremost it to raise prices throughout its products. Meanwhile, Apple lone had a “limited” number of iPhone Duos accessible in shop at launch, alongside several estimated shipment dates extending into 2027. “We saw higher recollection expenses as compared to the June quarter, and that was partially offset by the advantage of carrying inventory and lesser expenses on non-memory components,” Apple CEO John Ternus stated during an discussion alongside CNBC.

Apple reported a 12 percent addition in income overall, ballooning to $114.5 billion. Its Mac endeavor grew 24 percent to $10.79 billion, during Apple’s services division, which includes App Store commissions alongside alongside subscriptions to services akin Apple TV and Apple Music, grew to $31.57 billion. iPad income declined 10 percent twelvemonth complete year, alongside $6.23 milliard in sales.

Step on up to the earnings plate, John Ternus. The Apple administrator alongside buzz for being a "product guy" oversaw his archetypal earnings study as CEO on Monday.

Apple's income for the third fourth — its financial fourth fourth — was $114.5 billion, surpassing Wall Street's estimates of $113.46 billion. Earnings per portion came in at $2.10, topping analysts' estimates of $2.

Spoiler alert: the business continues to market a ton of iPhones. Revenue for the section was $57.58 billion, compared to analysts' estimates of $56.48 billion. The company's extremely watched income border was 47.9%.

China income of $17.54 milliard missed analysts' estimates of $18.75 billion. Sales of its iPad were additionally in light, coming in at $6.23 milliard compared to Wall Street's estimates of $6.83 billion. Its Services endeavor came in mostly in row alongside estimates at $31.57 billion.

The inventory was selling approximately flat following hours following the report.

Ternus, who took complete for Tim Cook on September 1, has already taken the phase to province multiple important new products for Apple: its archetypal folding smartphone, the iPhone Duo, the company's archetypal astute residence hub, the Apple HomeView, and the first-ever touchscreen MacBook Pro.

While the iPhone Duo didn't go on transaction until October, definition they won't display up in Apple's results for the former quarter, Wall Street volition be looking for any color on how first orders are pacing.

The fourth does contain approximately a brace weeks of iPhone 18 Pro sales. Importantly, Apple has yet to province any non-Pro variants of the new iPhone lineup, which are expected first next year.

Ternus is commencement his CEO tenure at a period whenever Apple faces soaring recollection expenses — a key component for its iPhones, iPads, and Macs — and another provision sequence constraints that have led it to boost hardware prices.

The new CEO volition guide his archetypal earnings call alongside analysts at 5 pm ET.

PageSpeed Insights is now using Lighthouse 13.6.0, which was released Oct. 27. This type of Lighthouse changes how it simulates how lengthy a leaf takes to load.

Chrome’s Web Performance Developer Advocate, Barry Pollard, has stated on Bluesky that the updated type of PageSpeed Insights alongside Lighthouse 13.6.0 is now available. He stated this improves the simulated FCP (First Contentful Paint) and the simulated LCP (Largest Contentful Paint), the two of which Pollard says volition be additional exact than before and mostly outcome in higher scores.

A leaf may obtain a distinct PageSpeed Insights mark without item on it changing, because of the alter in the test. Pollard additionally stated that websites heavily reliant on JavaScript would be additional apt to see an effect from the updated test.

Pollard Points To JavaScript-Heavy Sites

Pollard quoted a developer who had posted concerning how single-page apps (SPAs) had seen a big betterment in their results since the Lighthouse update, citing react.dev. He opened his article stating, “True!”, afterward added:

“Note this is not SPA-specific (and unrelated to another SPA things we’ve been operating on), but additional apt to effect JS-heavy sites.”

The experimental gentle navigation metrics in Chrome that I wrote concerning rear in October are a distinct way of measuring person experience. The data comes from genuine Chrome users through the Chrome User Experience Report (CrUX) and Lighthouse uses a simulated test.

What Changed In The Simulation

By default, Lighthouse volition burden a leaf at complete speed and afterward evaluation how it would burden on a slower connection. The throttling docs say that this simulated throttling matches PageSpeed Insights’ setup.

The publish notes for type 13.6.0 of Lighthouse catalog multiple changes to Lantern, which is the simulation rearward those estimates, aimed at improving its accuracy.

Lighthouse 13.5 used all request’s fetch precedence to decide whether or not it blocked rendering. In 13.6, Lantern uses Chrome’s own render-blocking tag for all petition (and falls rear to using precedence lone whenever that tag is missing).

A second alter applies whenever the LCP component is content that appears in the identical example as the page’s archetypal content. Lantern now estimates that LCP from the identical requests and leaf tasks it uses for FCP alternatively of from a set that can contain all petition made before LCP.

Ivan Akulov showed in a GitHub issue how the old simulation handled a test leaf created alongside Framer whose lone satisfied complete the fold was text, so one component counted as the two FCP and LCP. Lighthouse reported much afterward LCP than FCP for that text. Even although preloading the page’s JavaScript modules improved interactive period for the genuine page, they caused simulated LCP to be worse.

Pollard thanked Akulov in a reply, saying he “kicked off several of these improvements.” The Lighthouse squad closed the matter as completed in the Lantern upgrade listed in the 13.6 publish notes.

The ARD Audit Now Checks For ard.json

Lighthouse 13.6 has additionally updated the Agentic Resource Discovery (ARD) audit from Lighthouse 13.5, which I covered in September. When Lighthouse 13.5 was released, it looked for an ARD manifest under the old ai-catalog names equal although the spec had changed to ard.json. So if your website lone used the new name but you didn’t contain a row in your robots.txt document called Agentmap, it would display as Not Applicable.

With this update, Lighthouse 13.6 volition appearance for an Agentmap line, a rel="ard" nexus tag or Link header and /.well-known/ard.json previous to looking for the ai-catalog names. And if Lighthouse 13.6 finds the manifest lone at an ai-catalog location, it volition note that ARD consumers are not required to inspect there.

Lab Scores And Field Data

The achievement mark listed for your leaf in PageSpeed Insights is according to data generated by Lighthouse. According to Google’s PageSpeed Insights documentation, lab data are results of a simulated burden using a sole equipment operating on a fixed set of network conditions. They note that “having fine lab data does not necessarily average real-user experiences volition additionally be good.”

Field data (also shown in the identical report) represents genuine visits to your website inside the final 28 days, as reported by CrUX. Each PageSpeed Insights study includes the type of Lighthouse used to create results, next to the emulated device.

Why This Matters

PageSpeed Insights scores from before and following the Lighthouse 13.6 update weren’t measured alongside the identical simulation. Part of a higher lab mark on a leaf you fair optimized may arrive from the new version, and charts that track lab scores complete period may display a jump at the toggle to 13.6.

Before reporting an improvement, inspect that the two reports name the identical Lighthouse version, and difference the site data.

Looking Ahead

Lighthouse’s publish notes say its squad expects 13.6 to container in the DevTools of Chrome 159, which is now in Chrome’s desktop Dev channel and in Canary. As of Nov. 2, Chrome’s release schedule lists Chrome 159 for stable publish on Dec. 8.

An open issue on Lighthouse’s GitHub is additionally looking into cases anywhere Lantern’s simulated LCP runs far complete measured LCP, using ample JavaScript and SPA sites as examples.

Featured Image: Remo_Designer/Shutterstock

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The New York Times is suing the makers of Brave Browser for unauthorized copying of reporting and copyright infringement for allegedly abrasion publishing company satisfied to market to AI companies and enabling customers to bypass its paywall. Although Brave positions itself as a pale business that benefits consumers, the lawsuit paints a image of a dreary hat business that exploits the activity of publishers.

Brave Browser and Brave Search bask a position as a pale hat, privacy-first business that’s an substitute to companies akin Google, Anthropic, and ChatGPT. The New York Times’ grievance shows that not lone is Brave abrasion and monetizing publishing company content, but it’s additionally marketing it to AI companies, artwork a image of a business that is additional dreary hat, at smallest to publishers.

Brave Browser And Search Engine

Brave Browser And Search Engine

Brave Browser and Brave Search positions themselves as the “good guys” on the Internet by casting themselves as the resolution to an Internet that’s damaged by surveillance capitalism. It positions itself as the antidote to Google’s assured monetization of its own users.

Brave Search’s distinctive marketing points are that it uses its own autonomous hunt index, it protects user’s privacy, and it does not track them throughout the Internet the way Google does. All of that is true.

The New York Times’ copyright infringement lawsuit against the makers of Brave Browser and Search Engine reveals a darker actuality rearward the gleaming “user-first” stance in which Brave is alleged to utilize the activity of journalists without compensation.

New York Times Alleges Brave Are The Bad Guys

The New York Times lawsuit is a difficulty to an substitute endeavor example that alternatively of exploiting its users the way Google does it exploits the activity of publishers on the net by marketing admission to that satisfied to AI companies, and uses it to provision answers that vie alongside the publishers’ own websites.

The grievance alleges:

• Unauthorized copying of copyrighted content
  Brave allegedly scraped and copied Times satisfied without approval in command to build its hunt index, including satisfied protected by paywalls.
• Selling copyrighted reporting to AI companies
  Brave allegedly monetizes scraped satisfied through its Search API which enables companies including Anthropic, Perplexity, Mistral, and others to admission publishers’ satisfied for AI training and generating responses.
• Generate AI answers that substitute visits to publishers
  The Times grievance alleges that the Ask Brave AI conversation reproduces and summarizes copyrighted articles in AI-generated answers, providing substitutes for the first reporting fairly than directing readers to the publisher’s website.
• Circumventing paywalls and admission restrictions
  Brave is alleged to enables users to bypass The New York Times’s paywall through its browser and deliberately circumvents protections designed to restrict unauthorized access.
• Preventing publishers from blocking scraping
  The Times lawsuit alleges that Brave does not acknowledge its crawler or provision publishers a way to obstacle its abrasion activities.
• Profiting from publishers’ advertising
  Brave is allegedly removing The Times’s promotion and substituting its own, depriving the publishing company of promotion income during monetizing reporting it did not produce. The conclusion current is that if Brave is depriving The New York Times of promotion income afterward it may be depriving the average formula site, news location and any another location that earns earnings through advertising.
• Contributing to copyright infringement by others
  The lawsuit additionally alleges that Brave deliberately enables and profits from copyright infringement committed by its customers, including AI companies that pay for Brave’s data.
• Continuing infringement notwithstanding warnings
  The Times alleges that Brave ignored cease-and-desist alphabet sent in August 2025 and April 2026, supporting its assertion that Brave’s infringement was willful.

How Brave Exploits Internet Publishers

Brave allegedly provides unauthorized copies of Times reporting through its Search API, allowing third parties to use that satisfied without obtaining licenses from The Times. The satisfied that Brave scrapes off publishing company sites is alleged to be sold to AI companies which afterward can use it to train their ample tongue models. That identical satisfied is additionally sold to be used by AI Chat as grounding satisfied that’s surfaced through retrieval-augmented generation (RAG).

The grievance cites Brave’s own promotion of its Search API for AI training, grounding, and satisfied extraction as evidence that Brave knowingly promotes uses that The Times considers infringing. This is part of the complaint’s allegation that Brave deliberately created its products to utilize copyrighted satisfied by making it accessible to third parties, including creating features that bypass publishers’ paywalls.

Takeaways

The conclusion that can be made current is that if Brave is doing this to The New York Times, it’s apt doing it to another websites that publish satisfied on the Internet, whether it’s a formula site, a merchandise assessment site, or any other  benevolent of website that earns earnings from showing advertising.

Overall, the New York Times lawsuit (PDF) paints a image of browser, search, and AI companies as parasites who, if they’re not exploiting users’ privacy, they’re exploiting the remainder of the Internet during depriving publishers of the capability to acquire earnings from their content.

Anthropic is giving company customers a new way to scrutinize how their workforce use its artificial intelligence chatbot Claude — and how much the AI activity is costing them.

The AI elephantine announced "smart reports" for Claude Enterprise users final week. The interactive diagram tool is designed to analyze a example of a team's AI meeting transcripts and collection activity into categories, including the types of tasks workforce use Claude for, the outputs it generates, and the cost.

The reports can additionally — and this is the part that is undoubtedly making teams sit up direct — emblem "inefficiencies" to employers, including sessions that produced "no activity value" or were "personal or off-topic," according to a Claude assistance webpage.

In effect, the astute reports tool offers companies armed alongside Claude Enterprise item of an AI study card. Each institution can run up to 10 reports a duration at no charge.

One caveat that Anthropic highlighted as "important" in its assistance documentation: "Smart reports assistance you comprehend acceptance and scheme your funding in Claude. They aren't designed and should not be used for evaluating idiosyncratic achievement or making occupation decisions."

To create a report, bosses can choose a team, a period range of up to the final 28 days, the Claude products to include, concentration areas for analysis, and any tradition questions they desire Claude to answer during analyzing the transcripts.

"Claude afterward says a example of transcripts in that scope, groups them into workstreams and types of outputs, attaches expend to all group, and writes up what it found," the Claude assistance leaf says.

According to Anthropic, sessions involving "restricted topics" — including individual conversations connected to race, ethnicity, health, lawful issues, union activity, and governmental or religious views — are "used lone for total inspection and don't contain summaries."

"Personal conversations additionally don't contain idiosyncratic sessions or names," the Claude assistance leaf says.

The initiate of astute reports comes as many companies are trying to get a grip on AI costs and measure any efficiency gains. Some are wrestling alongside how broadly to let workforce use AI tools.

Bloomberg reported Monday that Goldman Sachs lately constricted admission to Anthropic's Claude Code and Microsoft's GitHub coding tools to engineers lone following assessing efficiency and hazard concerns. The move reportedly rankled several Goldman traders who used the tools for their work.

A national fairness dealt another attack to the Trump administration's plans to cap student-loan borrowing.

US District Judge Michael Simon ruled that the Department of Education exceeded its authority whenever it intended to restrict admission to national lending for certain expert degrees.

It's the third ruling by a national fairness blocking the department's scheme from taking effect. The division had planned to execute a new regulation on July 1 that would have limited expert degrees to 11 programs, including dentistry and medicine, during excluding others akin nursing and social work.

Only these programs would meet requirements for a $200,000 life borrowing cap, during another advanced programs would obtain a $100,000 life cap. The department's projected catalog of expert degrees sparked pushback from lawmakers and advocates, who stated several programs excluded from the catalog required higher borrowing caps to justify adequate backing for students in those programs.

The ruling in Oregon final month related to the naturopathic medication field. The plaintiffs, including colleges and students in naturopathy, stated that the department's decision to exclude the site from the expert flat catalog risked pushing students into personal pupil loans, which frequently have higher involvement rates and are disqualified for national debt forgiveness programs.

Additionally, naturopathy associations stated the caps could damage income should students choose not to enroll because of the borrowing caps.

Simon, the judge, stated the harms posed by the caps to the two students and schools are "imminent" since students are deciding whether they can oversee to enroll in the program for the coming scholarly year. He placed a preliminary injunction on the department's projected definition of "professional" and ordered it to meet requirements naturopathic medication for the higher borrowing limit.

The division wrote in a notice on Federal Student Aid that it encourages students to communication their academy to see how the court ruling affects them.

At the end of June, a distinct court decision blocked the department's narrowed definition of a expert flat from taking effect. As a outcome of that ruling, the division released an updated list of 30 programs that would meet requirements for a higher borrowing bounds as the litigation progresses. It stated at the period that it's assured the narrowed definition is "lawful and volition continue to defend it."

Have a narrative to portion concerning pupil loans? Contact this newsman at asheffey@businessinsider.com.

Meta is preparedness to publish the final OS update for its Quest 2 and Quest Pro VR headsets by March 2027, the business announced today. The final OS update for those devices is planned to be v213, and following that, Meta volition continue to container safety patches and crucial bug fixes through the end of 2027. Apps that assistance the Quest 2 or Quest Pro can additionally be submitted through December 2027, Meta says.

Meta is calling the Quest 3 and 3S “now the baseline for Meta VR gamers.” The business is announcing this change onward of the planned publish of its new VR Glasses, which are set to initiate sometime in fountain 2027.

“Quest 2 and Quest Pro laid the basis for this platform, and millions of group motionless perform on them,” Meta says. “Quest 3 and Quest 3S provision your apps additional achievement headroom and blended actuality built in, and apps built for them transport onward to Meta VR Glasses, which run on the identical OS and SDKs.”

TikTok’s Product Preview of Q4 2026 shows two belief portion metrics for Search Ads Campaigns, and TikTok is adding curated keyword groups called Keyword Packs to their Keyword Suggestion Tool.

The two portion metrics are designed to measure how much of the eligible hunt inventory a run is taking advantage of, and TikTok’s guide to low shares starts by asking if the run has already exhausted its budget.

What The Two Impression Share Metrics Measure

TikTok’s help page defines these metrics as follows:

Impression Share: The percent of eligible hunt results impressions your ads captured.

Top 1 Impression Share: The percent of eligible first-position hunt results impressions your ads captured.

The Oct. 30 article describes them in auction terms, as showing “the percent of eligible hunt auctions an advertiser’s keywords successfully won on the Search Results Page.” Neither leaf explains how TikTok counts the eligible opportunities a run didn’t win.

The article says the metrics are accessible at the campaign, advertiser, and keyword levels in TikTok Ads Manager. The assistance leaf says Ads Manager may display them for eligible Search Ads Campaign and TopSearch campaigns. TopSearch, a CPM-billed Search Ads option, places an ad in the archetypal sponsored stance for a keyword whenever it wins the auction.

Availability can differ depending on your account, run type, market, and merchandise rollout status, as noted on the assistance page.

What TikTok Suggests When The Share Is Low

According to TikTok’s Help Page, if a run has a low belief share, afterward based upon another factors (budget, bidding, keyword coverage, imaginative relevance, competition level, and/or assortment of hunt volume), there could be an chance to grasp additional eligible impressions.

The troubleshooting division of the assistance leaf uses spending to differentiate between the archetypal two. If a run spends all of its accessible money, the assistance leaf recommends expanding the campaign’s prosperity to see if you are capable to capitalize on additional eligible impressions. However, whenever a run does not expend its accessible funds, the assistance leaf recommends checking whether your bid is rivalrous for those identical keywords. The remainder of the suggestions contain reviewing your keyword catalog for opportunities to add new ones as fine as making certain that your imaginative and landing pages equivalent your keywords.

Neither the Help Page nor the Reporting Guide published by TikTok in April provided data on metrics to measure how much of a campaign’s belief portion was being misplaced because of prosperity or ranking.

Keyword Packs Come To The Suggestion Tool

TikTok says its Keyword Suggestion Tool “can now recommend” Keyword Packs to advertisers, “ready-made, curated” according to brand and category keywords. Advertisers can preview and add these suggested packs using the identical workflow used today. In addition, according to TikTok, the group suggestions are refreshed all day, using metrics including (but not constricted to) hunt volume, cost-per-click (CPC) and competition, allowing advertisers to utilize keyword lists “backed by TikTok’s device learning models.”

Brooke Osmundson wrote about the inclusion of keyword suggestions inside Search Ads setup whenever it archetypal launched in the U.S. in September 2024. The current type of the help section, which was final revised in November 2025, does citation suggested keywords alongside monthly belief predictions and equivalent types, but does so without referencing packs. Also, TikTok provides a distinct Keyword Planner, which contains data concerning hunt quantity and competition for promotion planners wishing to create their own keyword lists.

The article doesn’t say which markets or accounts can use Keyword Packs, or how TikTok chooses the conditions in a brand pack.

Why This Matters

Where a portion metric appears in your TikTok account, go to the keyword-level perspective to discover keywords getting lone a small percent of their eligible impressions. Once you have identified those terms, afterward continue alongside checking if your run has completely exhausted its prosperity using TikTok’s troubleshooting steps.

For Keyword Packs, the preview TikTok describes is the location to assessment brand conditions before adding them.

Looking Ahead

The October 30th article and TikTok’s Search Ads overview are the lone areas I could find on the location concerning Keyword Packs. TikTok’s recommendation tool assistance page, which was final updated in November 2025, volition be an area to keep an eye on for market and document data as well. Until this leaf is updated, you can inspect Ads Manager to see if your document includes either of these features inside reporting for Share Metrics and whenever environment up keywords for the Keyword Packs.

Featured Image: Samuel Boivin/Shutterstock

9:00 PM · Nov 1, 2026·

A merchandise can have the correct material, price, and features and motionless provision an AI buying tool too small environment to propose it. The difficulty is not merely getting a nourish accepted. It is making merchandise data retrievable, applicable to shopper needs, and accordant anywhere it appears.

In this webinar, AI Shopping: Get Your Products Found In Google & ChatGPT, Chris Sachs, VP of Value Enablement, and Aris Vrakas, Product Lead at seoClarity, walked through four connected moves: create merchandise pages readable, enrich satisfied in shopper language, synchronize feeds and pages, and measure what changed.

The meeting focused on activity ecommerce teams could do now, fairly than waiting for checkout inner AI services to mature.

Make Product Information Easy To Retrieve

Vrakas began alongside a specialized prerequisite: merchandise satisfied needed to be accessible to bots, not lone apparent to person using a browser. He described JavaScript-heavy pages anywhere shoppers could see particulars that an automated fetch did not expose.

For teams reviewing their stores, that difference calls for checking what a crawler really receives. Are center merchandise particulars current in the HTML? Does crucial data depend on client-side execution? Where rendering was a bottleneck, Vrakas discussed prerendering and cached HTML as options.

His item was to location admission before investing heavily in enrichment. Better descriptions cannot assistance a scheme that never receives them.

Describe Products In The Language Shoppers Use

The presenters used socks as a recurring example. Color and fiber construction are helpful attributes, but they do not answer all inquiry concerning warmth, thickness, durability, or intended use. Vrakas explained that conversational prompts could merge multiple of those needs in one request.

He recommended connecting merchandise characteristics alongside the decisions shoppers were trying to make. Rather than leaving an AI example to infer a use case from a abbreviated specification, retailers could provision applicable particulars directly. He additionally discussed using attributable assessment evidence to assistance claims concerning how a merchandise performed.

See the complete on-demand clip at 28:18.

The chance was not constricted to unusually lengthy prompts. Vrakas explained that equal a broad petition for a fine merchandise could guide an AI scheme to regard additional particular attributes. The webinar’s product-enrichment discussion explored how retailers could anticipate those questions without relying on generic descriptions.

Keep Feeds, Pages, And Structured Data Consistent

Sachs warned against treating the merchandise nourish as a distinct project owned location alternatively in the organization. Information added to a nourish should additionally communicate the merchandise leaf and its organized data, fairly than stopping at the feed.

Vrakas described why that consistency mattered whenever a phase revisited a merchandise page: merchandise identity, price, and supporting particulars needed to be apparent and coherent. An enriched nourish did not eliminate the need to create the corresponding leaf understandable.

The presenters called this decision the loop. For an ecommerce team, it meant connecting SEO, merchandising, paid media, and betterment so that one channel’s improvements could advantage another, alternatively of maintaining detached versions of the identical merchandise information.

Measure Visibility And Test What Changed

The presenters divided three areas of measurement:

• Product-grid visibility: How frequently precedence products appeared in buying carousels for applicable queries.
• AI mentions and citations: Whether an answer named a merchandise or cited its supporting content, alongside how the brand was described.
• Paid-feed performance: Impressions, clicks, and conversions connected alongside feed-driven campaigns.

These were distinct signals, not interchangeable definitions of success. An AI citation solitary did not established a sale, and the presenters encouraged teams to analyze the effects throughout the channels they were changing.

See the complete on-demand clip at 11:38.

Chris Sachs tied that measure activity to ongoing experimentation:

“The finest SEO teams are the ones that obsess concerning testing. The additional evaluation you do, the improved decision making you can have.”

See the complete on-demand clip at 45:16.

During the Q&A, a spectator asked whether a before-and-after difference was adequate to measure generative motor optimization. Vrakas distinguished ample catalogs, anywhere merchandise groups could assistance comparisons, from smaller sites or broader brand questions. For the latter, he described improving satisfied about a defined topic and comparing its movement alongside another topics remaining untouched.

The helpful difference was having a difference set, fairly than assuming that all visibility alter proved an optimization had worked.

Start With A Focused Catalog Review

The full on-demand session connected specialized retrieval, nourish enrichment, and measure examples. To rotate the conversation into a archetypal assessment alongside your team:

• Check what bots can recover from a small set of precedence merchandise pages.
• Identify shopper questions those pages do not yet answer, and add particulars supported by the product’s genuine attributes or assessment evidence.
• Confirm who owns the nourish and how approved changes stream rear to merchandise pages and organized data.
• Record distinct baselines for product-grid visibility, AI mentions and citations, and paid-feed results.
• Choose a defined alter and an unchanged difference collection before rolling the activity out additional widely.

Getting group to click on articles is becoming increasingly difficult. We’ve been lazily conditioned by big tech’s greed, and it shows no sign of slowing.

To combat this, we have to build and own audiences and get improved at marketing. Publishers need to activity harder to create their satisfied appealing, particularly on the surfaces they control.

The Athletic does item extremely uncomplicated on its homepage that additional publishers should consider: It shows readers how many comments selected articles have generated.

It tells you which satisfied its readers really attention about.

Now part of the world’s most prosperous publisher, The Athletic has gone from power to power in latest times. In Q2 of 2025, revenue was up one-third to $54 million alongside an adjusted functioning gain of $5.8 million. Hell, equal ad income nearly doubled to $14.1 million.

Safe to say The New York Times, and by expansion The Athletic, are publishing’s most profitable case study. They are value listening to.

Why Does This Matter?

It tells you, beloved apathetic reader, which articles are generating discussion. It’s an extremely simple, clever use of social proof.

1. It Encourages Clicks

People are naturally drawn to things another group are curious in. And all publishing company is trying to create a community. These comment counts indication which articles are generating conversation among its audience. Arguably another like-minded people.

If one part has 500 comments and another has fair one, all things being equal, I’m far additional apt to click on the former. It has piqued my curiosity. Clickability goes beyond fair images and headlines.

It tells me there’s a conversation value joining. Or, at the extremely least, item engaging adequate to get group talking.

This is particularly precious if you have a ample homepage and straightforward audience. As traffic continues to drop, you’ve got to create additional use of what you have.

2. Engagement Signals Don’t Stop There

Comments are fair one measure of engagement. We can be far additional rigorous.

Experiment alongside shares, likes, and another signals to acknowledge satisfied that resonates alongside your audience. Tell your audience, alongside certainty, which articles are value reading.

Not all part volition create hundreds of comments, equal the additional famous ones. Some power be extensively shared, others power advance unusually elevated levels of involvement related to your traffic.

The crucial item is identifying what your spectators values and making that visible. That you prioritize your best-performing content.

3. Use Engagement To Inform Content Prominence

Most publishers use composite involvement scores to advance the correct behaviors. Almost everyone is de-prioritizing traffic and promoting quality involvement – meeting duration, clicks, scroll depth, comments – since they accept this is the key to construction a really busy audience.

You could use statistical modeling, possibly supported by AI, to acknowledge articles that are over-performing against expected involvement levels (a Bayesian akin approach), afterward exterior them additional prominently throughout homepages, division fronts and topic pages.

Rather than relying exclusively on editorial judgement, you’re combining it alongside genuine spectators behavior.

The outcome have to be a improved person cognition and additional opportunities to create clicks.

How Can I Test This?

Keep it really, really uncomplicated and set apparent key achievement indicators.

• Start alongside comments: Display comment counts on selected homepage articles and test whether they enhance click-through rate.
• Expand your signals: Experiment alongside likes, shares or another involvement indicators. Not all involvement is equal, so established what encourages really precious reiterate behavior.
• Identify over-performers: Compare part involvement against applicable benchmarks, fairly than promoting any has the most traffic.
• Improve prominence: Test whether featuring over-performing articles additional prominently increases involvement throughout your owned surfaces.

CTR is not a ideal measure of success. Often, the most clickable satisfied can veer into rage-bait or clickbait. Which is exactly the benevolent of satisfied you desire to avoid.

As referral traffic becomes harder to generate, publishers need to create additional of the audiences they already have. This is a simple, nearly certainly productive way of doing that.

More Resources:

• Condé Nast CEO: Plan As If Search Traffic Will Be Zero
• The Click Economy Is Over: How AI Search Is Forcing Publishers To Rethink Revenue
• Google Pushes “Bounce Clicks” Explanation For AI Overview Traffic Loss

Read Leadership In SEO.

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America has a traditional pay milestone: six figures a year. Anthropic's average employee has disbursal their director that much all month.

Anthropic's personnel expenses topped $1.7 milliard for its 5,300 workers from July through September, according to an amended S-1 filing the AI business released Monday dawn onward of its first community offering afterward this month. That method the expenses averaged complete $322,000 per employee complete the three-month span.

The total indicates how a place inner Anthropic became among the 21st century's quickest pathways to bonzer wealth. Its coming IPO volition mint a new cohort of multimillionaires. Even workforce who've lone been about for a brace of years have seen their inventory options multiply in value multiple times over.

The AI juggernaut has used elevated salaries and a quickly expanding evaluation to enlist skilled engineers, researchers, and another specialists. Over the archetypal nine months of 2026, Anthropic's personnel expenses totaled $4.8 billion, according to the S-1.

The final quarter's $1.7 milliard count included prosperity salaries and bonuses, benefits, and director payroll taxes. The largest chunk of the total came from Anthropic's stock-based compensation expenses, an accounting measure of the equity it recognized for workforce — that came out to $1.1 milliard in the three-month span.

Against the elevated employee expenses, Anthropic's revenue has raced far ahead. Back in 2023, the business spent additional than twice as much on personnel as it made in revenue. In the archetypal nine months of 2026, personnel expenses tallied fair 15% of total revenue.

The numbers could fluctuate. Anthropic wrote in its S-1 that, as of the end of September, it had additional than $32 milliard in stock-based compensation expenses that it had not yet included in its accounting. A prosperous listing on the inventory market would addition Anthropic's personnel expenses in the coming quarters.

Anthropic quintupled in caput figure from the end of 2024 to the end of September 2026. It's motionless much smaller than its tech-industry peers. Meta is appreciated at about $1.6 trillion, a imaginable mark for Anthropic's IPO. The social media elephantine has about 67,000 employees. Broadcom, value concerning the same, has additional than 30,000.

This reduce size makes Anthropic appearance particularly efficient, as Business Insider reported final week. The business tallied $6.6 myriad in annual income per employee, compared alongside estimates that put Meta at $3.2 myriad per employee and Google at $2.5 million.

"Talent density matters additional than endowment mass," Anthropic wrote in its S-1.

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Key Takeaways

• Luana Lopes Lara is a erstwhile ballerina, an MIT alumnus and the world’s youngest self-made female billionaire.
• She made her fortune by co-founding Kalshi, a prediction market toggle that allows users to bet on everything ranging from climate to sports.
• She stated many astute founders autumn into a average trap whenever it comes to starting their own business.

As a teenager, Luana Lopes Lara studied ballet at the Bolshoi Theater School in Brazil. Competition was cutthroat; students sometimes tried to sabotage all another by hiding pane fragments in all other’s shoes. She attended specialized academy in the morning, afterward went to ballet training from the midday to the night. 

“Since I was extremely little, I wanted to do big things,” Lopes Lara stated in a latest episode of the podcast Confession alongside Ali Partovi. 

That site laid the basis for Lopes Lara’s afterward success. Now, at 30 years old, the entrepreneur is the world’s youngest self-made female billionaire, unseating pop celebrity Taylor Swift and tech billionaire Lucy Guo in December 2025 to assertion the title. Lopes Lara has a net value of $2.6 billion, according to Forbes.