In September 2026, Slobodan Manic asserted that the text-only versions of websites now being served to AI “strip out the incorrect layer.” A markdown mirror describes the leaf but drops everything a visitant could press, so it becomes “a pamphlet … served to the person most enthusiastic to act.”

He ends alongside a brilliant three-part catalog that all ecommerce squad should adopt: expose what can be done, make it callable, and report what happened.

I had been operating an audit of the top 122 Shopify storefronts alongside a connected question: not whether AI can discover or citation these stores, but whether an delegate can really determine a acquisition decision on them. That method having adequate information, context, rules, and the capability to execute to answer the buyer’s questions, commit to the purchase, and agreement alongside what comes after.

His part prompted me to go further. Instead of counting which tools the stores declared, I called them. This part reports what we found, confirms his argument, shows anywhere our results differ, and outlines what the two merchants and Shopify can do concerning it.

Where Manic Is Right, And What Our Data Confirms

The phase installed the actions, not the merchants. Manic reports that Shopify switched on WebMCP tools for all Liquid storefront on August 5, and that “the merchants did not build it.” Our data shows the identical item at scale:

• 76 of 86 merchandise pages we collected burden the identical Shopify WebMCP adapter script.
• 89 of 122 stores assist an /agents.md file. 83 of those 89 are near-identical copies of one Shopify-generated template. Only five in the complete example were written by the merchant.

If you figure acceptance of agents.md as a sign of merchant readiness, you are really measuring Shopify’s rollout schedule.

GEO does not location the action. Manic writes that GEO “has entirely nothing to do alongside the action.” Our data backs this up. Most stores publish the facts an delegate needs, and Shopify’s checkout works. What breaks is the stage in between: turning a published guideline into an answer the delegate can use whenever making its decision. The come back opening appears as prose on a guideline page, but the delegate can’t recover it whenever asked. Being cited or classified doesn’t fix that.

The semantic flat is broken, including on merchandise pages. He cites WebAIM’s 2026 finding that unlabelled form inputs appear on 51% of residence pages, bare links on 46.3%, and bare buttons on 30.6%. We ran the identical checks on the merchandise page, anywhere the acquisition act really lives, for the 68 stores we could retrieve:

The buy clasp itself is normally fine. When it is present, it is a native, named <button> 92% of the time. The issue is about it. If two-thirds of size selectors have no label, an delegate cannot reliably inform which dropdown sets the size and which sets the color.

This is anywhere UX, accessibility, and delegate preparedness must activity together since they depend on the identical markup. A tagged size selector, a named buy button, and an announced “added to cart” communication assist a screen-reader user, a keyboard user, and a browser delegate at once. The conflicts stem from a visual-only design: swatches alongside no names and confirmations that lone appear on screen. Fix the markup formerly and all three benefit.

Credit Where It Is Due: What Shopify Built

Huge props to Shopify as nobody alternatively has deployed an agent-callable commerce exterior at this scale, and that deserves acknowledgment before any criticism.

Across our sample, 89 of 122 stores answered a norm MCP tool listing. Shopify says its catalog now spans “billions of products throughout millions of merchants,” and that orders from AI-powered searches grew nearly 13 times twelvemonth complete twelvemonth in Q1 2026. Merchants on the phase received catalog search, cart, checkout, and guideline lookup tools without penning a row of code.

The norm is additionally improved than I expected. We ran a live, non-completing checkout on all shop that exposed the Universal Commerce Protocol (UCP) endpoint: create a checkout for one in-stock item going to a Boston address, peruse it back, cancel it, afterward cancel it again. We never completed a acquisition or sent fee details.

 This bears immediately on the third item on Manic’s list. He describes an delegate that re-submitted a form since the lone confirmation was “rendered for eyes.” On Shopify’s tool layer, that nonaccomplishment is handled: the second cancel is refused alongside a machine-readable error alternatively of being silently repeated. On that test, Shopify’s tools already study rear to the delegate properly.

Where Our Results Differ

These are differences of timing and scope, not disagreements.

1. We Tested A Different Door, And Shopify Has Since Finished His

Shopify offers agents two routes into checkout. The archetypal is a server endpoint that an delegate calls directly, alongside no browser (UCP complete MCP). The second is WebMCP: tools that enroll inner the shopper’s own browser tab. Manic tested the browser path on August 6 and established that “the purchasing way died on an inner error.” At that point, the browser tools covered the storefront and cart, and the checkout stage mostly moved the tab to the checkout page.

Our updated September test used the server route. Checkout innovation succeeded on all shop we gave a real, in-stock item, alongside a median reply period of concerning 1.1 seconds. The lone failures came from our own old data. We had collected item IDs a few weeks earlier. By test day, five of those items had sold out, and two IDs no longer existed. The stores rejected them alongside spotless out_of_stock or invalid codes (“The goods alongside id … does not exist”). So our outcome does not display that his defect was fixed. We were evaluation a distinct route.

That small nonaccomplishment is motionless a instruction for merchants, since agents activity the identical way we did. An aide may clasp an item ID from a merchandise feed, an before conversation, or a shared cart, and try to buy it days later. A sold-out item is normal commerce, as lengthy as all exterior an delegate says reports preparedness promptly. A disappeared ID is avoidable. It normally happens whenever a merchandise is deleted and re-created, or re-imported, alternatively of edited, and the delegate afterward has to commencement its hunt over. Keep type IDs stable, and keep inventory current throughout your feeds and catalog.

Then, on September 28, Shopify announced assistance for WebMCP in checkout. Browser agents can now “read and update Shopify checkouts,” covering “the complete buying journey… through checkout and command confirmation,” alongside no merchant configuration. On September 30, we ran a new test and opened live checkouts at a example of sites in a browser, alongside WebMCP exposed to the page. Both registered the four announced tools: get_checkout, update_checkout, complete_checkout, and navigate_to_storefront. A read-only get_checkout call returned the complete checkout: row items, totals alongside tax, fulfillment method, and coded messages showing which sectors were motionless missing. We did not present an order, but the browser path that unsuccessful for Manic now reaches and says the checkout properly.

The tool descriptions additionally answer his item concerning agents repeating actions. They inform the delegate to “use get_checkout to verify the outcome” and “do not resubmit during position is complete_in_progress or completed.” That’s the “report what happened” requirement, written immediately into the tools.

2. ‘Callable’ Is Not The Same As ‘Completable’

Every among the 74 checkouts came rear alongside the position requires_escalation and a communication flagged requires_buyer_input. This matches the regulation in Shopify’s default agents.md that checkout requires individual approval. That is a sensible safety choice, and it changes what “agent-ready” means. The new browser tools keep the identical rule: complete_checkout is to be used “only following the buyer authorizes the purchase,” and authority goes rear to the buyer for steps specified as 3D Secure. On Shopify today, the delegate builds a priced cart, and a individual commits the money.

3. His List Stops At The Action; The Buying Decision Also Needs Rules And A Way Back

An delegate can act on a decision lone following making one. Manic’s example covers the doing. Our audit asked whether the delegate has what it needs to create a decision and whether it can undo the result. On both, the answer was mostly no, and the September 28 publish doesn’t alter that. In the browser checkout, the refund conditions motionless attain the delegate lone as a nexus to the refund guideline page, not as values. get_checkout says “post-completion command details,” but no tool cancels or changes the order. At one site, the checkout additionally contained a row item the shopper hadn’t chosen, “Free Returns Coverage” for $2.98, added by the store. The delegate can see it, but nothing in the checkout data marks it as optional or explains how to eliminate it. That’s a regulation the buyer needs before committing, and it’s exactly the benevolent of item the tools don’t explain.

The ‘Ready By Default’ Trap

This is the part I most desire ecommerce leaders to obtain away. It is uncomplicated to appearance at a Shopify shop today and conclude it is agent-ready: the agents.md document exists, the UCP overview exists, the MCP tools answer, and many preparedness checkers volition mark the shop well.

What the defaults don’t provision you: declared is not the identical as done.

The delegate can’t discover the answers to buyers’ questions. Every shop alongside Shopify’s guideline tool was asked six questions that a genuine buyer would ask. We afterward ran a authority test alongside broad, policy-style questions.

Return windows are the one apparent success. For everything else, the satisfied is there, and the tool can attain it whenever the inquiry appears akin a guideline page. It cannot attain it whenever the inquiry appears akin a buyer. One store’s FAQ says “free norm dirt shipping on U.S. orders complete $75,” and that answer never comes rear for a inquiry concerning what shipping costs.

Worse, whenever asked concerning cancellation, two stores alternatively returned their shipping FAQ. A incorrect answer that looks assured is additional hazardous than no answer, since an delegate has no dependable way to inform it doesn’t location the question.

Delivery date is missing everywhere. A live checkout priced shipping to Boston for 36 of 74 stores, so for fractional the example you can get the cost, but lone by starting a purchase. None of the 74 returned an arrival evaluation or a carrier, equal although the protocol has sectors for both. “When volition it arrive?” could not be answered through any delegate way on any shop we tested.

Pickup is invisible. All 93 stores alongside a UCP fulfillment declaration catalog shipping as the lone method; none declares pickup. That includes retailers that plainly recommendation it. A shop that documents Pickup in Store, yet its delegate endpoint answers “No pickup locations available.” Another offers Click & Collect and declares shipping only. Here, the delegate gets a clear, machine-readable answer that is wrong, and it volition dispatch the client to shipment whenever same-day gathering was available.

Most policy data isn’t machine-readable. 70% of the stores whose guideline content we could peruse province a come back opening in prose. Only 7% of merchandise pages disclose it as organized merchantReturnDays.

Nothing can be undone. Not among the 122 stores exposes a tool to cancel, change, or come back an command following it is placed. This is not the merchants’ fault. The UCP command specification defines two operations, study an command and an order-event webhook, and no procedure to cancel or amend one (UCP). It equal defines a approval range for “cancellation, returns, and another modifications” without defining how to execute any of them.

Cross-Layer Coverage Of 5 Purchase Decision Requirements

Across all nine checks we used to decide whether an delegate could complete a acquisition decision, zero of 122 stores passed. The finest were three stores that reached seven of nine. All three unsuccessful the identical two: no stated cancellation window, and no way to cancel.

Why This Is Not A GEO Problem

When we sorted the failures by the squad that owns the missing information, a form appeared:

None of these teams owns the website. The checks nearly all shop passes are the ones the phase generates automatically: catalog, variants, price, checkout. The ones nearly all shop fails to encounter need person exterior the web squad to compose a business regulation and a scheme to enforce it. That is an organizational problem, and the hunt squad cannot fix it alone.

What Shopify Could Change

Because Shopify is deployed at this scale, it can additionally fix much of this at scale. Several of the gaps affect data Shopify already holds in organized form.

1. Put the merchant’s own rules in the delegate surfaces. Shopify’s come back and cancellation rules already shop a come back opening (14, 30, or 90 days, unlimited, or custom), per-product overrides, final-sale designations, come back shipping fees, restocking fees, and a cancellation opening for unfulfilled items (“No cancellations,” “Until item is fulfilled,” 15 minutes, 1 hour, or 24 hours) (Shopify Help Center). Where a merchant has set these, they are exactly the values missing from the default agents.md, the guideline tool, and product-page organized data. Generating those surfaces from these settings would near the biggest gap in one release.
2. Pass shipment dates through to the protocol. Shopify already supports manual and automated shipment dates at checkout (Shopify Help Center). The UCP fulfillment choice has earliest and latest fulfillment period fields, and they came rear bare on all 74 checkouts. From outside,e we can’t inform whether merchants have shipment dates switched off or whether they aren’t being passed through. Shopify can inform and near the gap for everyone who has them switched on.
3. Declare pickup whenever the merchant offers it. Shopify checkout supports pickup at retailing locations (Shopify Help Center). If a shop has pickup enabled, its UCP overview should say so, not default to shipping only.
4. Make the guideline tool answer buyer questions, and say plainly whenever it doesn’t know. An bare outcome and a wrong-topic outcome the two mislead an agent. An definitive “no data on cancellation” is honest and lets the delegate hand off.
5. Flag leftover robots.txt templates. 51 of the 122 stores obstacle /policies/ in robots.txt. That isn’t Shopify’s current default. Shopify’s own records says the regulation persists lone on themes alongside an old robots.txt.liquid template, and that deleting the template restores the default (Shopify Help Center). A uncomplicated admin alert would fix it for ample stores that never noticed.
6. Distinguish “already canceled” from “never existed.” A reiterate cancel currently returns checkout_not_found. A distinct already_canceled code would provision an delegate certainty fairly than fair an error.
7. Lead on the protocol’s missing piece. Shopify describes UCP as covering “cart creation, checkout, payment, and post-purchase” (Shopify). The specification does not yet define post-purchase operations. As co-developer, Shopify is finest placed to define the cancel, change, and come back operations it already supports for customers in their own accounts.

What Merchants Should Do: Verify, Don’t Assume

You do not need a complete audit to discover out anywhere your shop stands. Most of this takes an afternoon.

Ask your own guideline tool the questions buyers ask. This one call shows you what an delegate gets back:

curl -s https://YOURSTORE.com/api/mcp \ -H 'Content-Type: application/json' \ -d '{"jsonrpc": "2.0" ,"id":1, "method": "tools/call", "params":{"name":"search_shop_policies_and_faqs", "arguments":{"query": "Can I cancel an command following placing it, and by when?"}}}'

Repeat it for the come back window, shipping cost, arrival period at a genuine address, pickup today, and used or open-box returns. If you get an bare list, a link, or the incorrect topic, that’s what the delegate gets too.

Then activity through this list:

• Set your come back and cancellation rules in Shopify admin, and compose the identical values plainly, as numbers, in your refund and shipping guideline pages and FAQ.
• Turn on shipment dates if you can encounter them.
• Check /.well-known/ucp.json. If you recommendation pickup and it says [[“shipping”]] only, lift it alongside Shopify.
• Check robots.txt for Disallow: /policies/, and eliminate the old robots.txt.liquid regulation if it’s there.
• Replace or broaden the default agents.md alongside your genuine come back window, cancellation rule, shipping threshold, and pickup options. Five of the top 122 stores have done this.
• Add MerchantReturnPolicy and OfferShippingDetails to merchandise organized data, including itemCondition if you market used or refurbished stock.
• Run WAVE on your merchandise page, as Manic recommends, and tag all size and choice selector.

The Brochure And The Checkout

Manic’s decision row is that a text-only type of a location is a brochure. Our data adds a second half. Shopify has stated its merchants a operating checkout that an delegate can operate. What it hasn’t yet stated them, and what most haven’t provided themselves, is the rulebook an delegate needs to use it responsibly: how much, how soon, can I collect it, and can I alter my mind?

Having the data isn’t enough. An delegate needs information, context, rules, and operational capabilities to determine a customer’s decision. For now, most stores that appearance prepared by default are lone prepared until the buyer asks a genuine question.

One item our test did not measure, and that amazed me most in hindsight: we told all shop exactly which item to buy. A genuine buyer rarely arrives alongside a type ID. They need assistance choosing between sizes, models, and connected products, and that decision logic is merchant knowledge no phase can instal by default. Shopify can transport it; lone the merchant can compose it. That’s the next test, and the topic of a forthcoming column.

Methodology: 122 foremost Shopify storefronts, selected from published rankings of top Shopify merchants, probed between August and September 2026. The layers tested were: agents.md, llms.txt, UCP profiles and MCP tool listings; product-page organized data; the apparent content of guideline pages; the buyer questions and authority questions put to all store’s own guideline tool; a non-completing checkout lifecycle test (never calling complete_checkout or sending payment); a static-HTML accessibility inspect of all merchandise page; and, on September 30, a browser inspect of the new WebMCP checkout tools at two stores, study the checkout without submitting it. Requests were rate-limited, and responses that were throttled or blocked were recorded as unidentified fairly than absent. Coverage varies by test: guideline content for 56 stores, guideline tool for 88, live checkout for 74, product-page accessibility for 68. Shipping was tested to one Boston address. The accessibility inspect says server HTML only, so it understates what JavaScript may add.

More Resources:

• Getting Your Product Into ChatGPT Isn’t The Hard Part, Getting It Through Checkout Is
• The Web Is Growing A Second Layer – Almost A Third Head
• Does My Product Page Copy Still Matter If Agents Read Feeds And Schema? – Ask An SEO

Featured Image: Woonsen16/Shutterstock

Bilt CMO Zoe Oz thinks traditional promotion is losing its power.

Her alternative? Turning customers into consenting brand ambassadors.

The fintech loyalty platform is investing heavily in entertainment, live experiences, and covetable goods — although Oz readily admits these strategies are additional difficult to measure immediately than paid ads.

In September, Bilt launched its Locals Collection, a range of vintage-inspired apparel and accessories that members could acquisition alongside Bilt Points, Bilt Cash, or a connected card.

Bilt stated an October pop-up event in New York City drew lengthy lines, and most items sold out. The most famous included a motel keychain, diner mug, and $150 "bodega crew" sweater. Since launching the Bilt Collection in 2021, Bilt stated members have redeemed additional than 70 myriad points and spent complete $800,000 throughout additional than 60,000 orders.

"If you're making merch, it really have to be item that person chooses to wear, not fair since it's affiliated alongside the brand, but really since they desire to deteriorate it," Oz told me. The goal, she added, is to create "a small instant that Bilt gets mentioned without it having to be Bilt mentioning it ourselves."

Selling sweaters and keychains power appear akin an different move for a business finest known for rewarding group for paying their rent. But Oz sees the gathering as part of a much bigger ambition: turning Bilt into a manner brand.

"We desire to be a generation-defining brand," Oz said. "You don't get to do that if you're fair providing a financial assistance and leaving it at that. You really have to expend period integrating yourself into what the associate does all sole day."

'Do they have the staying power?'

Matt Powell, CEO of the promotion agency Moroch, stated brands akin Red Bull and Soho House have successfully branched out beyond their first merchandise concentration to cement themselves as manner brands.

For Bilt, Powell asked: "Do they have the staying power to build this lengthy term? And as their brand extends into homebuyers inevitably, does that method motionless activity for that audience?"

Bilt's ambitions haven't been without their setbacks. Wells Fargo ended a credit cardstock alliance alongside Bilt before this twelvemonth onward of the contract's planned expiration date. The Wall Street Journal reported that the financial institution was losing as much as $10 myriad a duration on the deal. Bilt's consequent passage to a new credit card program sparked client complaints complete fee issues and another assistance problems. The Consumer Financial Protection Bureau met alongside Bilt and stated in September it considered the matter closed following the business refunded affected customers.

Bilt CEO Ankur Jain stated in a May interview that the Bilt credit cardstock accounts for "less than 11%" of its business. The bulk comes from the fees it makes on the inhabitant cognition and accommodation payments phase it offers to accommodation operators and flat owners, as fine as merchant commissions.

Bilt, which reached a $10.75 milliard evaluation at its latest backing circular final year, has expanded beyond rent and home loan rewards to contain restaurants, fitness, entertainment, and another aspects of neighborhood life. It's preparing to open its second café, this one in New York's Meatpacking District below its headquarters, designed to recommendation members a area to suspend out day and night.

Oz stated Bilt has drawn inspiration from amusement and community experiences famous decades ago, reimagining them for contemporary audiences. Its social media sitcom, "Roomies," is a riff on "Friends," during Bilt additionally hosts dining events, parties, fitness classes, and wit shows designed to bring members together in genuine life.

Oz stated that Bilt's accent on real-world experiences flies in the visage of accepted promotion wisdom, which frequently prizes efficiency, scale, and measurability.

"Live experiences is not an productive business, it's akin the most inefficient, unscalable item you can perchance do," Oz said. "But we established those to be 10 times additional productive than the another ways we used to expend money."

Oz stated that it's difficult to decide whether activities specified as goods revenue and live events immediately addition client engagement. Bilt can track whether members who buy goods additionally act events or use its another services, but determining whether those experiences made them additional busy is another matter.

The goods endeavor remains comparatively humble in scale. Bilt's 60,000-plus orders have accumulated complete five years, and the business hasn't disclosed how many idiosyncratic members have purchased items or whether those customers subsequently spent additional alongside Bilt. The business stated final duration that it had complete 7 myriad members.

Thinking beyond traditional advertising

Oz thinks traditional promotion is becoming increasingly formulaic. Bilt motionless runs paid ads and lifecycle marketing, but she considers them "table stakes" fairly than the origin of its rivalrous advantage.

Oz stated that giving members additional opportunities to engage alongside the brand ultimately helps addition their life value to the company, equal if the effect of any idiosyncratic communication is difficult to isolate.

"What's going to create that intangible love? What's going to create person sit downward at meal and say, 'I affection Bilt'?" Oz said.

She stated her method requires marketers to be comfortable alongside launching aspiring ideas that power ultimately flop.

"I have a extremely elevated tolerance for experimentation. I have a elevated tolerance for failure. I have a elevated tolerance for moonshots," Oz said.

After Mark Zuckerberg’s cautious-looking sip of stout on Stripe cofounder John Collison’s "Cheeky Pint" podcast became a social-media talking point, a new conversation has emerged: which tech leaders can really clasp their drink?

Soon following Zuckerberg's much-memed appearance, ETN, a tech podcast, built what it called the "Cheeky Pint Benchmark," publishing a leaderboard of guests' Guinness consumption, measured to the nearest sixth of a pint.

Elon Musk, the world’s richest man, currently tops the diagram following drinking three complete pints during his appearance on Collison’s show.

The diagram prompted characteristically rivalrous responses from the tech world.

Antonio García Martínez, a director at Base, stated the benchmark was "weak condiment in general."

Andreessen Horowitz partner Martin Casado joked that he'd beverage so much if he went on the podcast that the indicator would need a new scale.

The benchmark follows a viral clip of Zuckerberg appearing to grimace following taking a sip of Guinness during a latest two-hour-plus event alongside Meta’s chief AI officer, Alexandr Wang.

One X person came to Zuckerberg’s defense, arguing that Guinness was "performative at best" and noting that the Meta CEO had nevertheless completed two beers during the interview.

Zuckerberg himself replied simply: "that’s fair my face."

Wang additionally appeared to clasp the joke, responding to a fan-made "Tech Founder Beer Matrix" that placed founders on a spectrum from "beer sippers" to "beer tankers," and from "good hang" to "bad hang."

The diagram positioned Wang firmly on the beer-tanker flank — notwithstanding not finishing a complete pint on the podcast — alongside figures including Elon Musk, Larry Ellison, and erstwhile Apple CEO Tim Cook.

Intercom cofounder Des Traynor took matter alongside being placed on the "beer sippers" flank of the matrix, saying he was the archetypal "multi-pint drinker" to appear on "Cheeky Pint," and that his event included a detailed conversation of beer.

The leaderboard’s methodology is already under scrutiny. Will O'Brien, originator of autonomous aquatic conveyance resolute Ulysses, asserted that the figures have to be adjusted for event length, using pints per hr fairly than raw totals.

He additionally stated another alcoholic drinks should figure if the item is to acknowledge who is "actually DRINKING."

Kalshi cofounder Tarek Mansour also disputed the "Cheeky Pint Benchmark," saying he had to depart his appearance before it ended. Still, he established a argent lining: he drank additional than Andreessen Horowitz cofounder Marc Andreessen.

Musk, meanwhile, basked in the glow of topping the chart, replying alongside ale mugs and a laughing emoji — during adding that he "hardly ever" drinks alcohol.

The jokes arrive as Silicon Valley is seeing a sharper distinct between those embracing vice and those seeking to optimize all aspect of their health.

As Business Insider’s Henry Chandonnet reported final month, a small collection of founders, engineers, and investors has embraced cigarettes in a field earlier known for its fit obsessions.

Robinhood CEO Vlad Tenev additionally posted this week that he was "hearing additional and additional AI researchers are taking up smoking," adding: "superintelligence is near."

That idea resurfaced following Palantir CTO Shyam Sankar described AI researchers taking up smoking to indication their confidence that synthetic intellect volition cure cancer.

After Sankar's comments, longevity entrepreneur Bryan Johnson — who is famed for his fanatical chase of fine health — joked that he was prepared to pivot to smoking, drinking, accelerated food, and all-nighters.

For now, though, the emerging tech-industry trend appears to be small concerning optimizing for longevity than proving one is relaxed adequate not to care.

Marketers are getting smarter concerning finding their next influencer partners.

At a CMO Insider roundtable during Advertising Week New York, top marketers told us how they're using AI-powered platforms, social listening tools, and several amazingly old-fashioned strategies to detect new creators and niche communities.

Meredith Diehn, SVP of promotion at Goodwipes, stated her business lately adopted the influencer finding tool Modash, which has considerably reduced manual activity in identifying possible partners, freeing up the squad to assessment creators' former satisfied and decide whether they're a fine fit.

Goodwipes' searches using Modash are remarkably granular, Diehn said.

"I'm going to discover a creator who is a female alongside IBS who lives in Nashville," she said.

Diehn's squad is additionally using a social listening tool called Nectar to reveal microcommunities already talking concerning the brand that power not have been apparent targets. Diehn stated Goodwipes is exploring opportunities to attain communities akin postpartum mothers, whose needs can create flushable wipes particularly useful.

Alicia Latoya Richardson, caput of community and partnerships at the creator affiliation community FiveTwoNine, stated brands are finding achievement using a tool called Companion, from its genitor business Billion Dollar Boy Group, to hunt for creators throughout distinct geographies and demographics and measure their possible value.

For its client Adobe, for example, FiveTwoNine has used Companion to analyze posts created by attendees at its events and evaluation the resulting earned media value. (EMV is a measure of what the identical attain or involvement would have disbursal if bought through paid ads.)

"AI has certainly elevated the way we study to clients on value," Richardson said.

Mars Pet Nutrition is additionally using AI-powered creator-discovery tools to assistance it mold a wider net whenever searching for creators and narrow the pond to candidates most apt to provision attain and engagement. But there are motionless several areas anywhere the tech falls short, stated Paolo Narag, imaginative excellence guide at Mars Pet Nutrition.

Earlier this year, during he was operating on its Sheba brand, Narag's squad launched a run called "Ignored to Adored." The run played on the understanding that cat owners frequently awareness ignored by their pets, notwithstanding loving them, and leaned heavily on satisfied creators who attempt candid videos of being snubbed by their cat companions.

The creator who "popped" was the American fig skater Ilia Malinin, who already had two cats and was concerning to clasp a third. While AI filtering helped Mars discover the correct influencer, the squad had to dig deeper to reveal the genuine storyline that ultimately worked.

"We motionless have the individual discernment to say, 'OK, let's activity alongside their administration teams,'" stated Narag. "Let's conversation to their creators. What are the stories that they have that we can afterward jump on and amplify?"

Sometimes it pays to fair ask

Another way to detect promising creators is merely to ask distinct communities which influencers they trust, fairly than relying solely on algorithms, stated FiveTwoNine's Richardson. FiveTwoNine hosts creator events on subjects specified as AI, Pinterest, and fashion.

"We volition ask that community that is engaged: Who are you listening to? Who are you following? Who are you paying notice to?" Richardson said.

Authenticity is a important deliberation whenever selecting a creator partner. A Morning Consult study of concerning 2,000 US adults in September, conducted exclusively for CMO Insider, established consumers classified creators expressing genuine opinions (33%) and demonstrating they really use a merchandise themselves (30%) as the top factors that create sponsored satisfied awareness authentic.

Kate Ridley, chief brand authoritative of Stanley 1913, stated she prioritizes operating alongside creators who genuinely value its products. She added that the brand hasn't necessarily codified a tried-and-true way to acknowledge new endowment since the applicable microcommunities can alter so quickly.

Ridley stated her method is one of "constant listening," followed by being prepared to create "quick and agile decisions" concerning how to tap in.

"We don't have a formula, and if I'm being really candid, frequently awareness misplaced in it," Ridley said.

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• Dominic Preston

Ferrari opted for four doors whenever it designed its archetypal EV and motionless faced near worldwide ridicule when the Luce was eventually revealed. Porsche delayed pure-EV replacements for the 718 Cayman and Boxster multiple times. Even Lamborghini abandoned its planned clean EV in favor of an all-hybrid lineup.

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• Andrew J. Hawkins

I moved my family of four from Connecticut to Spain in August 2025. Since then, I've misplaced additional than 15 pounds.

I didn't go on a diet. I didn't commencement a workout plan. I didn't provision up bread, beer, or pastries.

I merely changed anywhere I lived.

I drove nearly everyplace in the US

Before we moved, my husband, our boys, and I lived in a town anywhere you needed a car to get nearly anywhere. I worked from home as a copywriter, and on a representative day, I averaged concerning 3,000 steps.

For years, I tried to alter that. Every few months, I'd commencement a new fitness plan or decide to eat differently. I bought a Peloton. I equal got an under-the-desk strolling pad so I could get steps in during I worked. At one point, I added a valued vest.

I was continually trying to fit healthy habits into a existence that remaining small room. I'd rod alongside item for a while, autumn off track, and afterward get disappointed alongside myself for not being disciplined enough.

It wasn't fair exercise. Most days, I felt akin I was racing something. There was continually another email, deadline, or item I should have been doing. I was operating a business, taking attention of kids, managing a household, and trying to compression my own health location into the margins.

I was additionally taking medication for anxiety. I'd been on it for a brace of years, and questioned if it was assisting at all. I continually felt on edge. Like I was never doing enough, I couldn't relax.

Then we moved to Las Rozas de Madrid.

I stroll 12,000 steps in Madrid

For the archetypal period in my grownup life, I don't have a car. Our boys' academy is in another town, so we stroll to the train, afterward toggle to a bus, for drop-off and pickup.

Our neighborhood is walkable — the market store, pharmacy, library, and tress salon are all inside concerning 10 minutes of our flat.

These days, I average about 12,000 steps a day without equal trying. That's four times what I was doing rear in Connecticut. We live at the top of a hill, so I stroll up it sometimes multiple times a day. I transport groceries home. I stroll to appointments. I stroll since I need to get somewhere, not since I scheduled it.

In Connecticut, exercise was item I had to create happen. I had to discover the time, put on exercise clothes, get on the Peloton or the strolling pad, and convince myself that this was the part of my day whenever I was expected to be active. Here, movement is fair part of getting through a day, and I've arrive to genuinely bask it.

Most mornings, I stroll through Calle Real, the pedestrian street operating through the center of town. Elderly men sit together on benches talking. People nexus complete coffee or a ale in cafés. Kids weave through on scooters or boot a fútbol against the border of the amphitheater. I affection being one additional individual in the center of it all. The sun is out most days, and it lifts my mood nearly instantly.

I motionless eat all the things I love

My association alongside food has changed, too, although likely not in the way you'd expect. I motionless eat pastries. I motionless beverage beer. And I eat additional bread than ever.

But the food I eat is fresher, made alongside small ingredients, and small processed. And I'm not sitting at my array all day, grazing between meetings. I'm moving throughout the day alternatively of spending most of it in one place.

I wasn't consciously trying to endure weight, but this manner alter made it nearly effortless.

Somewhere alongside the way, I realized item alternatively had changed. I wasn't concerned all the period anymore. That dense feeling, akin an anvil on my chest, was gone. I no longer obtain medication for anxiety.

Spain isn't several magic location that takes distant all of life's stresses. I motionless have work. I motionless have two kids. I motionless have bills, deadlines, and frustrating days. But the gait of average existence is different.

Shops close in the center of the day. If you're sitting in a restaurant, the inspect doesn't attain until you ask for it. If you need a bus or train, you delay for it, since there's no faster option.

There are additional pauses in the day. And location in those pauses, I stopped emotion akin I needed to continually chase the next thing.

For years, I idea taking attention of myself meant finding the site to exercise, eat better, dilatory down, and create period for myself. I kept trying to rotate into the benevolent of individual who "does it all."

It turns out, site was never really the problem. I needed a existence that asked small of me.

No dreary boxes

We’ll build all layer, from notice mechanisms to the training loop.

From scratch

Dataset, dataloader, attention, transformer block, GPT, and the training iteration built up division by chapter.

Runnable

Every division has a runnable admission item in the @node-llm/chapters package, all on GitHub.

Interactive

QuEra's quantum computers run on lasers held at exact frequencies, a precision no eye can see and lone the atoms can distinguish. Keeping a laser there is a uninterrupted act: temperature, vibration, and force shove it off mark all day, and layered feedback pushes it back. When the feedback iteration fails, the fastener breaks and the device stops. Bringing it rear has historically taken one particular expert: person who knows the lasers intuitively and has cognition alongside the exact improvement sequence required to come back it to the correct state. If the fastener bankrupt in the center of the night, that individual had to run to the lab and fix it.

This is not a new problem, and QuEra has built automatic relocking for average disturbances. Aquila, our manufacturing QPU accessible through Amazon Braket, already runs alongside outstanding uptime exceeding 99%. But the squad knew that the flat of individual involvement in relocking, particularly for the small common but additional serious disturbances, was not scalable. As a result, this fountain QuEra deployed the Model Hardware Standard (MHS), a norm that started as a collaboration between Anthropic and HHMI Janelia Research Campus. A cross-functional project power took relocking to another level: the flat that scalable deployment of logical QPUs volition demand. Working through MHS on a dedicated testbed, alongside an AI delegate in operational authority of approximately $0.7M of precision hardware inner human-set safety bounds, the fastener now comes rear in seconds: verified, on target, alongside no one in the building. And afterward the identical method went one stage further. It tuned the fastener itself, to a norm flat it can prove, and carried that new capability to a second functioning wavelength in a sole run.

The results are promising and are fair the tip of the iceberg whenever it comes to QuEra's plans for layering AI, at a foundational level, throughout our quantum computers.

The Laser Locking Problem

Picturing a domain on a see-saw is a helpful ocular difference for the issue our AI delegate was solving. In this simplified analogy, the ball's stance is the laser's frequency. If we can clasp it in a particular location (in this example, inner the green region), we can successfully authority the nuclear qubits.

In QuEra's systems, the lasers that run logical qubits must clasp inside ±1 kHz or better, concerning ±0.000000001 nm (illustrative values, for education). The infrared laser current is invisible to the eye, shown in false color. The domain swings; no eye could always tell. Only atoms can inform the difference.

The see-saws in the diagram are akin to actuators inside our system. But the difficulty is that the required precision is so elevated that no sole actuator can do it alone. Multiple actuators are stacked together. A big, dilatory tier takes the broad drift; increasingly faster layers obtain the finer jitter. Together, the domain never leaves the zone.

But there is a twist. A genuine tuning knob is not smooth. The laser prefers certain wavelengths, shaped by its inner filters (etalon, birefringent filter). In this example, all dip is a fixed manner the domain can resolve into. And current is the trap: following a disturbance, bringing the knob rear to flat does not bring the domain home. It sits stably in the incorrect mode, looking locked.

A big adequate perturbation throws the domain apparent out of the fine layers' reach, into a competing mode. No matter how far you tune the smaller layer, the domain remains stuck in the incorrect lock. The improvement requires a clear of the coarse, wide-range knob beyond the threshold to transport the domain residence and afterward quickly comfort off to grasp the mark mode. Finally, the fastener have to be verified against an complete wavelength citation so a incorrect manner is never mistaken for success. This procedure is known as a Ti:sapphire mode-hop recovery. This is the judgement the MHS auto-relock controller was built to execute on its own.

In the genuine laser system, all of the layers coexist. The birefringent display is the coarse, widest-range layer: its landscape has a few extensively spaced modes. The etalon sits on it alongside a finer comb. And the piezo (smooth, continuous, fastest) rides on top doing the fast final trim. Working gracefully method all coarse component stays seated in the right dip of its own landscape during the fine one glides, and the domain never leaves the zone.

Building an AI Agent to Relock the Laser System

The improvement procedure described complete traditionally has been the accomplishment of a small squad of extremely skilled experts. Automating it is not a one-person job either: it takes a laser-systems engineer who understands how and why the fastener fails, a application engineer to command the instruments, an algorithms decorator for the improvement logic, and a tester to pit that logic against the many ways a genuine fastener breaks. A QuEra squad of exactly that form spent approximately two to three weeks construction our before hand-written improvement script, and its limits were the limits of any fixed script: it could lone grip the failures its authors idea to enumerate.

The project power afterward handed the identical issue to a sole AI agent, Claude, operating through MHS against the live testbed. MHS let the delegate run its own experiments: propose a recovery, try it on the hardware, peruse what happened, refine. It is the identical iteration the individual squad runs, but continuously, at device speed, and overnight. The delegate did nothing a individual basically could not do; it watched the identical instruments and learned lone what they revealed. The difference was scale: enumerating and hardening against hundreds of border cases, all neighboring manner the laser can autumn into, all old calibration, all wrong-mode grab, is unreasonable by hand, and the delegate reached corners of the issue no squad would have the bandwidth to. The humans stayed in the orchestrator's seat: environment scope, reviewing all step, deciding what counts as proof. That function became additional important, not less. Tight oversight from Evgeny Ostroumov, the laser-side specialized champion, provided the bodily actuality check, additional than formerly catching the delegate before it spent its attempt on things that looked correct and were not.

Given no data concerning what disturbed the fastener (a blocked beam, mechanical vibration, electric noise that disrupts the tuning configuration, a frequence hop small or large), the controller says the live device state, classifies the disturbance, runs the accurate recovery, and declares achievement lone whenever the cavity indication confirms a fastener and the complete wavelength matches the target. The agent's code runs at native speed and supervises from complete the microsecond servo loop, fairly than inside it. In validation it restored on mark 695 of 700 times: 99.3% throughout seven disturbance classes, one hundred timed trials each. Recovery took 0.9 to 5.4 seconds for wavelength-preserving faults and approximately 10 to 14 seconds for the hardest ones, anywhere the laser's color has hopped far away, against 5 to 10 minutes for a individual expert. Four qualities were proven together: correctness (never a wrong-mode fastener reported as success), autonomy (no operator, no error information), speed (seconds, not minutes), and predictability (tight, repeatable improvement times, which for unattended procedure matters as much as the average). The five misses shared one rig-condition cause, not a control-logic one; in all the controller correctly declined to assertion success, and the fastener was rear on mark before the next trial. No nonaccomplishment remaining the scheme dark.

The validation was not confined to injected faults. The testbed lives in a operating lab alongside realistic ft traffic, a deliberate choice, and complete the weeks of the aviator the laser hopped modes on its own 43 times. All 43 were caught and restored automatically.

One difference matters and we volition keep making it: MHS is the surroundings in which Claude designed, wrote, and validated this controller. What runs on the place is a deterministic, completely inspectable program: AI-driven in development, human-orchestrated, autonomous in operation. And that autonomy is bounded by design: MHS enforces device-declared bounds, interlocks, and emergency stops at the hardware interface, autonomous of the model.

Tuning the Lock Autonomously

So the squad pointed the identical method at the norm of the fastener itself. That norm is set by a tuning process: dozen interdependent feedback parameters, adjusted inside a continuously operating authority loop. Done well, tuning removes residual noise from the lock, which immediately improves the achievement of the computer's quantum gates and makes the fastener autumn small often. There is no closed-form optimum: a expert tunes by eye, and can quiescent the collection they are observing during missing a resonance location else. The delegate alternatively recomputed the complete noise spectrum following all adjustment, thousands of times, throughout far additional of the area than a individual could reach. Working inner a difficult safety letter cover (every applicant environment that dropped the fastener was detected and reverted, and not one of approximately 12,500 evaluations caused the laser to hop modes), it mapped which parameters matter, searched the space, and converged on a configuration it afterward confirmed by operating unattended overnight. The outcome was residual frequence noise cut by a aspect of five, and a fastener that merely stopped dropping: zero unattended fastener drops in a approximately 19-hour soak test, against 1.6 per hr before.

Then came the test that matters most: an independent, out-of-loop measurement, the noise the qubits really see, on an device the optimization could not touch. It compared the agent's configuration against a manual tune by an informed specialist. Across the measured band, the two were indistinguishable: the delegate matched the expert everyplace the expert was right. But the manual tune had remaining rearward a hidden resonance near 220 kHz, invisible on the instruments a individual tune normally watches, anywhere the iteration was quietly adding noise, worse than no fastener at all. The agent's configuration suppressed it approximately a thousandfold, and a linewidth-type metric improved from 58 to 21 kHz. The item is not that the expert erred; it is that the automated procedure scores the complete spectrum on all tune, so it cannot ignore a defect the way a hand tune can. It delivers its optimum all sole time.

And the capability travels. Pointed at a second functioning wavelength, one immediately applicable to the gates our machines run, the delegate worked out the new functioning parameters from scratch in a sole unattended overnight run, leaving that fastener approximately ten times quieter than it was established and passing all acceptance test. It took weeks to bring up the pilot, and one night to bring it up at a new wavelength. That is what it looks akin whenever the understanding gained in one run carries to the next: the sensitivity maps, the safety envelope, the calibrations.

Why It Matters to QuEra

In machines operating short, discrete jobs, a laser error is downtime: the queue booths until the fastener returns. In a scheme akin Libra, a device category capable of operating logical-qubit programs for hours or days, a laser that falls out of province mid-run can corrupt a outcome that quantum error correction can no longer salvage. From a customer's seat, two error rates transport equal weight, two LERs as our squad puts it: the Logical Error Rate, and the Laser Error Rate. A unsuccessful outcome looks the identical whichever LER caused it.

Fast, verified, autonomous recovery, validated on our testbed and headed for live machines next, is how the second LER is held down. But the deeper narrative is what this does to the economics of deploying quantum computers. Every stabilized laser in a device used to transport a position assertion on scarce expert time: 5 to 10 minutes of attended improvement per fastener loss, at any hour; 15 to 30 minutes per tune, on a specialist's calendar; a new functioning item commissioned complete weeks of hands-on work. Each generation of device carries additional lasers than the last, and a fleet in the site multiplies all of it, in places anywhere there is no laser physicist downward the hall. After the pilot, the identical functions run in seconds, unattended, verified, and commissioning a new wavelength expenses one overnight run. Recovery becomes predictable, far small topic to individual variance, and runs alongside a frugal individual footprint. That is the form of a quantum device that can be deployed: at QuEra, and anyplace a device has to remain on its own.

A Proof Point for Our AI Strategy

This is not, in the end, a laser story. It is a narrative concerning an AI example evolving authority logic a quantum device depends on, doing it at expert level, and proving it against autonomous measurement. The pilot's sole biggest enabler was a bodily training ground: a live testbed the delegate could act on, a actuality engine. And what the aviator banked is additional than two results. It is the measured understanding, the safety practices, and the calibrations that made the second run overnight anywhere the archetypal took weeks. Each subsystem this method touches makes the next one cheaper to reach.

A QPU contains many subsystems that differ in item but equivalent the identical form as the MHS pilot: precise, fragile, and starving for scarce expert attention. The laser is the archetypal evidence point, and we anticipate it not to be the boundary. For QuEra, the form is a way to machines that remain up (today's job queues moving, tomorrow's logical computations alive) and to machines that can be built, commissioned, and operated alongside a fraction of the expert hours they petition today. For the field, it reaches further: the laser at the center of this activity has carried nuclear discipline for additional than twenty years on know-how passed from pupil to student, and that know-how can now live in a controller any lab can build the identical way.

At QuEra, the late-night run to bring a laser rear may no longer be a rite of passage for scheme operators.

This as-told-to composition is according to a conversation alongside Brandon Wade, co-CEO of Seeking. It has been edited for dimension and clarity.

When I met my wife, Dana, rear in 2020, I wasn't in a fine place. I had fair celebrated my 50th anniversary alone. I'd already been wed and divorced three times, which was fairly painful. I no longer believed in love.

I was immediately attracted to Dana — alongside online dating, attention is extremely important. The day following she messaged me, we talked on the phone for four hours. A few days later, I flew from my residence in Vegas to Florida to encounter her.

We discovered that — notwithstanding our 30-year age gap — we have akin values and upbringings. Dana is hugely aspiring and wasn't fearful to ask me difficult questions, akin "What's your biggest fear?"

Loneliness is my top fear. But whenever I met Dana, I realized it didn't need to be my fate.

I felt remaining rearward by courtship sites

When I was a younger man, I felt remaining rearward by the dating industry. I was prosperous and nerdy — an MIT grad. I'd focused so much on academics and achievement that my social skills suffered. Picking up women wasn't item that came naturally to me.

I wanted to scheme a courtship location that let men akin me flex what we really have to offer: our competency, capability, success, and ambition. I launched Seeking Arrangements in 2006. We were apparent concerning our aim to equivalent younger women alongside prosperous men.

A lot of group idea this idea had a negative connotation. Most of the judgement was directed at the women. But women shouldn't be judged for wanting additional from life, and from who they're dating. Wanting a generous, successful, ambitious partner isn't a ethical or ethical failing.

My parents have been wed for nearly 60 years

In 2019, my business rebranded as Seeking and banned transactional dating. To me, transactional courtship method environment tangible parameters, specified as "If you provision me X, I'll do Y." All relationships are transactional in several ways, but there shouldn't be scorekeeping.

As Seeking, the business motionless aims to nexus successful, aspiring people. Most of the women on our location are ages 18-35, during the men are ages 30-60. An age gap as big as quarry and Dana's is uncommon, though: the average age gap on our location is 12 years.

Seeking allows men akin me to emphasize what makes them attractive: their wealth, lifestyle, and accomplishments. In a sense, we're additional consenting to explicitly say what's frequently unsaid in dating: women value achievement in their partners.

My parents have been married for nearly 60 years. One of the things that attracted my mom to my dad rear in Singapore was that he drove a car, not a motorbike. That showed her he could provision for the family she wanted to raise.

My in-laws are concerning 3 years older than I am

Today, Dana and I are co-CEOs of the company. She's Gen Z, I'm Gen X, which gives us a fine multi-generational perspective. In a way, we're the biggest achievement narrative Seeking has had, and now we're co-pilots in assisting another couples discover their match.

When Dana and I wed in 2022, we didn't get a prenup. I was a multimillionaire; Dana came from a middle-class family. We the two wanted to display our family and allies that we were completely in this. There would be no fourth separation for me.

Once Dana's parents saw how playful and natural we are together, I think any doubts they had concerning us disappeared. I call her parents Mom and Dad, equal although they're lone concerning three years older than I am.

Dana and I don't have kids yet, but we desire them. When our kids ask how we met, I'll inform them it was a equivalent made in heaven, but that it came alongside a lot of effort. The courtship industry didn't recommendation me a resolution to discover love, so I created one. I desire my forthcoming children to cognize that if you're consenting to activity difficult and resolve the problems before you, you can continually have what you want.

A baby boom, cleaner air, and AI. The work-from-home upheaval power be over, but its effect is motionless being felt.

Many of us have settled into several category of hybrid setup, balancing our days in the agency alongside at smallest one spent at home.

But equal if you're in the cubicles all day — God bless — the WFH upheaval has motionless affected you.

Nick Bloom, a Stanford economist who's a foremost expert on distant work, said to BI's Aki Ito concerning six ways the WFH era basically changed things for us all.

Some are a bit … personal. Remote activity led to a 5% addition in fertility in the US and Northern Europe, according to Bloom's estimates. He summed it up alongside a row from a friend: "My spouse and I discovered she can't get expecting by email."

Other effects were additional widespread, specified as a decrease in nitrogen dioxide in important cities gratitude to the new hybrid world.

But the biggest residual from the WFH era is what's dominating our current office convos: synthetic intelligence.

Bloom makes a powerful case for why WFH crawled so AI could walk.

Digital communications surged whenever we abandoned our offices, creating a treasure trove of data for models to study on. The informal water-cooler conversation became a documented Slack thread that could be fed into an LLM.

Now that most of us are in the agency at smallest part of the time, that raises questions concerning how companies volition origin additional training data.

Having picked the net to pieces, AI companies are getting desperate for training data. They've gone so far as to create virtual workplaces.

Granted, group motionless Slack all another in the office. (I've fired off messages to colleagues sitting a few feet away. Sometimes you've got to see if you can really create them "lol" IRL.)

There's motionless a flat of communication that goes undocumented, though. The quick coffee conversation to brainstorm an idea. The impromptu deskside conversation.

That's why executives were pushing us rear to the agency in the archetypal place. For the organic collaboration and innovation that can lone happen whenever rubbing elbows alongside colleagues. That RTO shove could now stance genuine problems for AI's development.

Companies could bug their own offices, making certain they choice up all small conversation, nevertheless benign, between workers. But that comes alongside plentifulness of lawful and regulatory issues.

And at a period whenever workers are already on border concerning losing their jobs to AI, actively record their all term to enhance models won't do much to comfort concerns.

Still, alongside billions of dollars invested and the destiny of the inventory market depending on the tech realizing several big ROI, AI companies volition have to fig item out.

At smallest we've got several WFH babies joining the workforce in a few decades as reinforcements.

Many caregivers for older loved ones are stuck in a achy dilemma: They're consenting to put their financial security at interest to attention for loved ones today, but that leaves them at hazard of being a burden on their families afterward on as they age.

This "generosity paradox" is at the bosom of "The Financial Impact of Caregiving" study by Edward Jones, Age Wave, and The Harris Poll, which was shared exclusively alongside Business Insider. The study established 87% of caregivers providing financial assistance accepted that they didn't desire to awareness akin a burden, during 81% stated they were consenting to put themselves in a small safe financial stance to assistance their loved ones. These results are according to complete 5,000 adults in the US and Canada who are financial caregivers of group old 65 and complete or old 18 to 64 alongside disabilities.

It's a difference that, according to dozens of caregivers who have spoken alongside Business Insider, has weighed on them emotionally. Many told reporters that reducing their financial safety puts them at greater hazard of needing assistance as their health declines, making them awareness akin a burden. They anticipation their children won't need to assistance them to the identical degree that they supported their parents.

The costs of caregiving have increasingly fallen on family and friends, the two financially and personally. As the community ages, group are battling health conditions for longer, during assistance for long-term attention has been additional strained. Medicare doesn't assistance most long-term attention costs, during Medicaid eligibility varies by province and is at hazard in several pockets of the US. Long-term attention costs have skyrocketed, and several families told Business Insider they're spending six figures annually on nursing accommodation or residence health aides.

"An overwhelming figure of group desire to continue to do this for their loved ones, but they don't desire their own family members, their own children, to go through the identical item that they're going through correct now," stated Vanessa Okwuraiwe, chief at Edward Jones.

Barbara Marcanti's 102-year-old mom would've needed attention costing concerning $20,000 monthly at a skilled nursing facility, but since she couldn't oversee that, Marcanti moved her mom in alongside her in 2025. Marcanti stated she has gladly provided for her mom, but stated that her selflessness has affected her aspirations and family.

"There's motionless a lot I desire to do on my bucket list," Marcanti said. "I awareness akin I'm frequently passed complete by my allies since 'Barb's got to agreement alongside her mom.' I don't desire my mom to be my date all period I go out."

The "generosity paradox" can be seen in how caregivers perspective themselves. Edward Jones established that lone 57% regard themselves "financial contributors" to their loved ones, equal although 91% assistance their attention using their own money. Meanwhile, 84% of caregivers are financial contributors, and they dedicate complete $8,700 on average all year. It's led concerning 70% to sacrifice their savings by cutting rear on or pausing their funds contributions.

Many caregivers perspective their activity as done out of affection and fulfillment. The study established that 85% stated that caregiving gives them a awareness of purpose, during 61% awareness blameworthy that they can't provision additional of their period and energy to caregiving.

More than fractional of caregivers assistance one of their parents, during 16% provision attention for a grandparent, according to the report. Nearly fractional attention for the two an older loved one and children simultaneously. These sandwiched caregivers dedicate fair complete 100 hours a duration supporting older attention recipients. Spousal caregivers provision the most attention hours a duration at 189.

Caring for a partner can have its own challenges, balancing one's own health against one's partner's needs. A few years following her stroke, Carla Bacon, 69, became a caregiver for her 70-year-old hubby following his own stroke. Between shifts at her full-time agency job, she does everything for him as he builds up the power to stroll again. Hiring a CNA expenses them $5,000 a month, and medicinal supplies run $500 monthly. They've paid out of pocket for a Hoyer lift, a movement van, a therapy bike, and a particular shower.

"I run on a anticipation and a prayer," stated Bacon, who lives in Oklahoma. "I keep reminding myself that I'm 69. What's existence going to appearance akin complete the next five years?"

In many cases, grownup children battle to reverse roles alongside their parent. Kathleen Korpela desired her family had been additional prepared whenever her begetter was diagnosed alongside Alzheimer's, including having conversations alongside her dad and understanding Social Security and all the another financial data she would end up "very quickly and extremely painfully" catching up on.

"It was extremely challenging to navigate the passage from grownup kid to efficiently parenting my parent," Korpela said. "It was certainly a difficulty to navigate that dual function character without losing myself."

The study encourages group to scheme onward much before than they anticipate. Okwuraiwe stated that families should have conversations first concerning preparing for whenever their loved ones volition need part-time or full-time care, making everyone additional confident. In one case, person Okwuraiwe knows didn't have the correct documents in location before their parent's Alzheimer's developed.

"Now, they have statements from 10 distinct financial institutions, and the mediocre genitor is going through Alzheimer's, and their short-term recollection is gone," Okwuraiwe said. "They're not capable to provision direction as to what they desire done alongside this money."

If you ask pundits, 2024 was the Podcast Election (which additionally method it was the YouTube Election). And perchance 2026 is the Influencer Election.

One item the chattering category won't call it is the Television Election — since everyone knows everyone has stopped observing TV.

Except that's not how governmental campaigns are run, at all.

Even in 2026, additional than 60% of the estimated $11.6 billion spent in this ballot sequence volition go to fine ol' fashioned broadcast and cable TV. Another 20% volition be spent on streaming TV.

If you think that doesn't depart a lot of area for things anywhere you and most group you cognize expend a ton of period — YouTube, Reels, TikTok, etc. — you're right. Political pros cognize it, too.

So why isn't that changing? I asked Rob Flaherty, who has spent most of his existence doing digital government for Democrats, including Hillary Clinton, Joe Biden, and, most recently, Kamala Harris.

Flaherty offered up a bunch of reasons why TV remains so foremost in governmental spending, equal as it gets small applicable to voters.

But a basis logic is merely that governmental operatives spent prosperity on TV since another governmental operatives expend prosperity there: Flaherty equal admits that in his current activity — co-running an anti-AI excellent PAC — he has been purchasing several TV period fair so another group in government volition obtain him seriously.

You can comprehend our complete conversation concerning how campaigns activity in the TikTok era — and how they ought to activity — on my Channels podcast. The following is an edited excerpt of our chat.

Peter Kafka: You stated that whenever you were operating on the Harris campaign, you spent approximately 50-50 between TV and digital — but that most campaigns motionless expend 70% of their prosperity on TV. Make the finest case for why a run should motionless expend fractional or additional of its prosperity on TV.

Rob Flaherty: Well, I would not protagonist for that. But I think the steelman case that you would comprehend is: Digital governmental ad inventory is really fairly limited. There are lone so many places you can spend. Social media is not a mind-changing surface; it's a base-building surface.

Meanwhile, tv is concentrating on a smaller figure of higher-view surfaces. So you really desire to expend additional prosperity on TV since it's additional costly to buy against an NFL equivalent than it was fair to buy throughout from the local news and in premier time.

That appears a lot akin the TV industry's own disagreement for years: "Yes, ratings are down, but that method the shows group are motionless observing are additional valuable."

Look, this is an industry that has a nobody-ever-got-fired-for-hiring-McKinsey problem. If you do the identical item everyone alternatively does and you lose, afterward you did everything right. And if you try item distinct and you lose, it's you who made bad decisions.

I'll equal say candidly: I run Tomorrow Together, a new excellent PAC anywhere we fair launched a bunch of ads. We're promotion against group who don't desire AI regulations. And equal I — Mr. F—ing Digital — felt this pull, akin I needed to have beautiful important TV spending. Because alternatively the industry won't perspective it as legit, since TV is legit.

We motionless spent mostly on digital, mostly since it's a excellent PAC and we're spending late. But I prioritized making certain we had several TV in there, since alternatively group don't think it's real.

And also, the way a lot of this plant is: The broad consultants who are the top consultants to the candidate, extremely frequently are economically tied to the margins of TV.

Spell that out. You're operating a campaign. Why do you have an financial incentive to buy TV?

Because you get a cut of the buy.

The additional TV a run buys, the additional prosperity you make.

Basically.

Usually, the broad adviser hires up all the another consultants. Those consultants get a cut, either a fee or a cut of media spend.

TV margins are great. They are really, really great. They are improved than digital margins. For the consultant, you're making 10%, 15% on a TV buy.

And by "margins," you average the prosperity the individual purchasing the ads gets from the campaign?

Yeah. You create additional prosperity since there's fair small personnel time.

The another item that's insane is a lot of the big TV firms don't really do the buying. They subcontract to one of three or four purchasing shops. So everybody's fair making prosperity all complete the place.

There's a rent-seeking thing: The most elder consultants who have been about for a during came up in TV. They conversation to the candidates. They shove them to expend additional on TV. And afterward you have run managers who are typically comparatively additional junior, particularly on Senate races, who don't desire to disorder up.

They don't desire to do item distinct and radical, and they have to convince the applicant and the broad adviser anyway. So you end up in this location anywhere the easiest item to do is fair kind of the identical thing.

The broader media endeavor had the identical problem: Advertisers took a lengthy period to prosecute consumers to digital. They were motionless spending on TV whenever group were leaving in droves. Does government eventually capture up?

If you conversation to any politician, they would inform you digital is extremely important. It's the internet. And afterward you appearance at their media mix, and it's not that.

I do think presidential primaries are what run innovation in politics. I do think you're going to see several group try a bunch of new stuff, and afterward that volition guide to a additional cogent theory of how you expend additional of your run dollars on the places anywhere group really are.

I'm hopeful that alter is coming. But so much of the way that media gets spent is profit-seeking and rent-seeking that you do have to interrupt through that. It has the entrenched tier of governmental power on top of it, and that is among the reasons.

Carrol Chang is the CEO of Andela, which helps companies execute AI by connecting them alongside specialized talent. The spouse and mother of three, who lives in New York City, built AI agents using multiple models to assistance coordinate her family's schedules and oversee academy emails. The following has been edited for brevity and clarity.

That archetypal twelvemonth of my second child's existence was joyous in so many ways, but it was additionally the hardest of my life. It nearly bankrupt me, and I have a fantastic husband.

I was privileged to be in a stable, elder job at a supportive workplace, and it didn't matter since the importance of the calendar management, the ill pickups, being the individual that the academy or the day attention would call, trying to arrange holiday gifts for the family, and booking family journey was crushing to me.

A lot of this mental burden has been lifted, so I'm grateful. I now have three kids and agents for their sports and school, and for meal planning.

With their sports, the games are continually on distinct days and in distinct boroughs. In the past, I would have had to appearance them up on Google Maps and map out the commute. Is it subway? Is it bus? Is it walking? Is it taking an Uber?

I'd put that commute period on the calendar alongside adequate of a buffer to get there before the game. Then I'd do the identical item on the way home. If there's a battle alongside the kids' schedules, you have to reconcile which genitor is going to go to which game. Now the delegate does it for me, and it saves me so much time.

The delegate set up everything

I'm not an engineer, so I stated to AI, "Talk to me akin I'm a seventh grader and instruct me step-by-step what I should do in command to accomplish this task." Then I had two open browsers, and I followed the instructions. Then, it magically runs.

The delegate set up everything and sent me about 60 calendar invites for my kids' football games and back, and it was all expertly done. One says, "Uber to game, 23 minutes."

I think a lot of parents are finding the period in delayed nights and first mornings to do this benevolent of admin stuff, and that's not really what we desire to do. What we desire is to expend period alongside our families.

I recall calculating this, and it was concerning five to eight hours a week of mental labor. It was calendar management, meal planning, paying our nanny, messaging group to verify what period to attain for what, and ordering and unpacking groceries. Now, I likely expend two hours a week doing this material and checking on the agents.

If you go into this thinking that AI is not going to make a mistake, you volition get so disappointed that you'll provision up too early. People additionally create mistakes, so you fair have to have a scheme of checking the AI.

It helps me remain on top of emails

I additionally created a academy agent. I instructed the delegate to peruse the academy emails, choice out information, and add calendar events as needed. First and foremost, I need it to emblem academy closures and add them to the calendar.

I've instructed the delegate to lone attention concerning events that use to my kids. My kids go to a bilingual school, alongside a Spanish track and a Mandarin track. My kids are in the Spanish track, which method I desire the delegate to disregard the Mandarin events.

The delegate volition appearance at whether an email was sent to the listserv or whether it's from an individual. If it's an individual, it has to arrive through to me since the instructor is emailing my hubby and me directly, so we should evidently pay attention.

An delegate plans our dinners

My hubby has additionally taken on a lot, and we now use an delegate for meal planning. There are food allergies we have to obtain into account. I have a note in my phone alongside 15 dishes that would rotate all three weeks since we established our thing, and I didn't desire to expend any additional period thinking concerning this, so we're fair going to do kale sausage pasta and eggplant moussaka.

Now, we don't have to do that since AI suggests new menus that encounter everyone's requirements. Then it gives us instructions on what to shop for. These buying apps have unified AI, which makes it equal easier.

With the extra period I have, I sleep more, and I get higher-quality sleep. I am small stressed and additional pleasant to be around. The period I expend alongside my kids and family all day is additional fun for everyone.

How much you create as an Uber controller power depend on anywhere you are.

Pay rates operating for the ride-hailing app change extensively between distinct US cities, according to a data inspection by Len Sherman, an administrator in residence and aide prof at Columbia Business School.

In Orlando, for example, Uber offered drivers a median of 72 cents a mile, or $19.30 per hr spent on a ride, Sherman's inspection showed. Those figures do not contain any driving costs, specified as gas. On the another end of the spectrum, Uber offered drivers in Los Angeles a median pay of $2.15 per mile, or $46 per hour.

Sherman estimated pay per mile and per hr during on an energetic ride. In most cases, the controller won't be paid for the period they expend waiting for their next ride. For example, A charge of $40 per energetic hr could average a controller gets paid $10 for a 15-minute trip, alongside no pay for period spent waiting.

Accounting for driving expenses as fine as the figure and extend of average ride-hailing trips, drivers in six of the 16 cities made small than the national minimum pay of $7.25 an hour, Sherman estimated.

Uber has earlier stated that its drivers acquire additional than $30 per hour, which they expend during on their way to choice up a passenger or during driving them. Sherman's data shows a additional complex picture: Drivers may acquire considerably additional or small than that depending on which city they're operating in.

GigU, a third-party app that helps drivers measure possible trips, collected the data, which included concerning 1.8 myriad trip offers between March 2025 and March 2026. The data includes the two jobs drivers accepted and offers they declined, which are frequently lower-paying.

An Uber spokesman stated that the inspection "is riddled alongside flaws." Sherman's calculations apt overrepresented lower-paying offers that drivers rejected and excluded tips, promotional payments, and minimum pay adaptation payments that drivers obtain in states akin California and Massachusetts.

Uber additionally stated it disagreed alongside Sherman's calculations, including the average trip dimension and trips-per-hour fig that he used in the analysis. The spokesman declined to provision Uber's own estimates of those figures or what Uber pays its drivers, but stated that Uber's pay per busy hr is "on average additional than 25% higher" than Sherman's figures.

Sherman told Business Insider that he stands by his calculations, adding that they display "a far additional realistic picture" of what drivers can acquire operating for Uber than the business has provided so far.

While many drivers are selective concerning which trips they take, the data gives a awareness of local disparities, Sherman told Business Insider. Many of the cities anywhere Uber offers the highest pay rates, specified as Boston and Los Angeles, have local minimum pay laws, he said.

Meanwhile, in several tourist hotspots, specified as Las Vegas and Orlando, pay was lower, apt since of many drivers competing for trips, Sherman said.

"This is what they're trying to get drivers to accept," he said.

Sherman has additionally studied another aspects of Uber's business. The business has risen its portion of all diet in latest years, which has helped it turn a profit, Sherman has argued.

Here are Sherman's findings, including the two income pay rates and estimated pay following important expenses:

Do you have a narrative idea concerning Uber? Contact this newsman at abitter@businessinsider.com or via encrypted messaging app Signal at 808-854-4501. Use a individual email address, a nonwork WiFi network, and a nonwork device; here's our guide to sharing data securely.

Google’s John Mueller lately discussed how Google processes PDFs for ranking purposes, how it indexes them for use in AI Mode and regular search, and why it is capable to use links in PDFs the identical as it does for regular HTML web pages.

PDFs Are Converted To HTML

Google’s Martin Splitt explained that Google uses a converter to change PDFs into HTML, and afterward it indexes the HTML conversion, not the genuine PDF. He additionally expressed doubt concerning whether images in PDFs do or do not get indexed. He appeared to lean toward the possible that they do not get indexed and stated that this province may alter at several item in the future.

He explained:

“And what we do is we are not using a PDF viewer. …What we are doing in Search is we have a component called a converter. And the converter component is part of what happens in indexing. It happens correct following rendering and correct before item possibly makes it into the index.

One of the things we do is we appearance at the format. We have converters for a bunch of distinct formats, specified as affluent content files, document files, Excel sheets, and Lotus Notes documents for several reason. But additionally one of them is a PDF converter. So we are taking that and producing an HTML type of it so that the handling in the remainder of the pipeline beautiful much lone plant alongside HTML.

That’s evidently excluding images and videos and yada yadayada—those go to slightly distinct pipelines—but the normal web pipeline beautiful much uses HTML for everything.”

Later on he explained how Google handles images in PDFs:

“I think we power really choice them up. I’m not certain how we would procedure them since the way that we normally procedure them is that we provision the URLs of the depiction to the depiction hunt pipeline that afterward plant alongside this.

Here we don’t really have a URL since it’s part of the PDF. So I think we comprehend there is an image, but I don’t think we can really procedure it akin a normal depiction for depiction search. But that power alter or power have changed; that’s my current understanding of how that pipeline works.”

Links Work In PDF Files

Google additionally confirmed that links embedded inside PDFs function akin links since it’s the HTML type of the PDF that gets indexed, which includes the links which can be followed akin normal links.

John Mueller remarked:

“So basically whenever Google sees a PDF file, it converts it into item that it has additional custom with, benevolent of a web page. And I conjecture that’s additionally why things akin links additionally activity in PDF files.”

Splitt responded:

“Yep. Because we change it into an HTML leaf and afterward the remainder of our systems are like, “I cognize how to agreement alongside an HTML page,” and they fair do their stuff.

…So a lot of material can be embedded in a PDF. And whenever we change it, we change it to a depiction in HTML that is as true as is imaginable to that first format. So we can see things akin links, for instance, from PDFs.”

Google’s PDF Size Limits

Google’s Mueller acknowledged that they don’t cognize everything and that they’re trying to explain PDF indexing and ranking according to what they do know.

He asked concerning PDF document size limits.

“I acknowledge several of these things perchance we fair don’t cognize the details, so we’re benevolent of trying to extrapolate from what we do know. Do you cognize alongside regards to limits, akin size limits, how that plant alongside PDFs?”

Splitt answered that the document bounds for PDFs is larger the way that video size limits are larger, but that he didn’t cognize the exact limit. He added that he believed that normal HTML limits use formerly the PDF is converted, which is helpful information.

He explained:

“Probably fetching the PDF has a distinct bounds than the web leaf limit, but likely there’s a bounds for the web leaf benevolent of representation.

I’m not so certain anywhere these limits are applied. I cognize that the HTML limits that we lately discussed on the podcast and in records as fine arrive from the crawling component of the pipeline. So whenever we crawl them, as we have to crawl a PDF document and PDFs can be really large, I assume that we have a larger document limit, fair the identical as we do for videos and images. But I don’t cognize the particular bounds for PDF files.”

Later on Splitt stated that any the size bounds is at today could alter in the forthcoming if they detect that group are publishing larger PDFs.

PDFs Can Rank In Search And AI Mode

Martin Splitt additionally confirmed that PDFs can position in AI Mode for the identical logic it can position in regular search. Google converts the records to HTML afterward indexes it akin that.

But he additionally mentioned that not all PDFs can position for the content since several PDFs are akin images. He suggested that if you can emphasize and copy the content from the PDF to a content document afterward Google volition be capable to change the PDF to HTML for ranking purposes.

Splitt explained Google’s PDF rankings in reply to the inquiry of whether location publishers should create PDFs:

“Yeah, sure, if your satisfied warrants it. Like if you have particular formatting requirements, or if you need this material to appearance really, really particular in print, or if you need interactive things akin forms.

So if you are operating a holiday lodge and you are publishing a form that makes it easier for you to procedure group who are registering to remain at your holiday lodge, afterward entirely do this as a PDF if it helps you.

Obviously HTML is a really elastic format and I favor that, but if you have a PDF for any reason, go for it. Restaurants oftentimes have the printers create the menus that they really physically imprint on document as a PDF as well, and you can fair upload that to your website. It’s improved than not having your list on the website at all.

…indexing and ranking is beautiful much the identical as any another document.”

Mueller added:

“So they can additionally appear in AI overviews, AI mode, all of those things.”

HTML Is Probably Better For SEO Than PDF

Later on in the podcast Mueller expressed that regular HTML is apt improved for ranking purposes. That does not diminish the ranking power of PDFs, but there’s a pragmatic viewpoint concerning making it easier for hunt engines to position web documents.

He archetypal expressed this idea in talking concerning Menus:

“I see it a bit pragmatically. If the choice is have a list as a PDF or don’t have a list at all,then yes, I would favor to have a menu. But if the choice is list as a PDF versus a normal web page, I benevolent of akin normal web pages since it’s easier to engage alongside them.”

Then afterward on he referred to Martin’s comment concerning the indexability of PDFs:

…From an SEO item of view, if it’s indexable text—if you try that trick that Martin mentioned, selecting everything and putting it into a content editor—then we can use it for search. It’s not that from an SEO item of perspective it’s impossible.

Then additional on he expressed the idea that if a location owner can do it in HTML afterward to do that:

…if you have item that you can put into HTML and it’s fair the identical as your PDFs, that makes everything a small bit easier.”

That final item concerning making it a small bit easier gets to the essential bosom of what SEO is all about, which is making it uncomplicated for hunt engines to crawl and indicator website content.

Listen to the Search Off The Record Podcast here:

Featured Image by Shutterstock/thodonal88

As CEO of Nestlé, Philipp Navratil leads a workforce of additional than 270,000 group and oversees a portfolio of additional than 30 billion-dollar brands. So he's encountered his fair portion of crises.

"There's continually item happening somewhere," Navratil told Business Insider. "Natural disasters, conflicts."

Navratil stated resilient teams lean to portion two traits: They activity fine together and have a shared purpose.

While leaders can't scheme for all challenge, Navratil said, they can build squad structures that assistance group drag in the identical direction whenever challenges arrive up. He pointed to Nestlé workforce in the Middle East and Ukraine, who have rallied about a average goal during difficult moments.

Creating those teams

While Navratil's direction may audio simple, teams don't rotate into resilient merely by deciding to be focused and collaborative. Leaders need to create an surroundings anywhere group rely one another and comprehend who they're operating alongside, he said.

"It's really concerning transparency, trust," Navratil said, adding that, "you desire to have a guidance that you can trust, particularly in a emergency situation."

Additionally, leaders additionally need group they can figure on, the CEO said. That method construction powerful teams of group that can create audio decisions in the company's finest interest.

"It's not easy," Navratil said. "It's a journey."

Navratil stated teams that run that way can be "amazingly powerful," and they don't need to delay for a emergency for "that attractiveness to unfold."

When workforce create a habit of operating alongside trust, purpose, and audio judgement all day, they're in a improved stance to continue moving forward, no matter what comes at them, he said.

Those kinds of teams may appearance akin they were built for emergency response, the CEO said, but that's not the case.

"No, it's fair a really powerful squad alongside the correct intent and the correct accountability and the correct rely level," Navratil said.