Meta

Meta Spent $80 Billion on a World Nobody Wanted to Live In. Now It Wants Your AI Budget.

Meta Spent $80 Billion on a World Nobody Wanted to Live In. Now It Wants Your AI Budget.

Meta scrapped its $80B metaverse bet and is pivoting to AI. Here’s everything Zuckerberg is asking you to trust him with next.

Mark Zuckerberg renamed his company after a virtual world in 2021- the Metaverse. This week, Meta confirmed it has stopped expanding that world. Horizon Worlds survives in reduced form. The Metaverse, as a strategic vision, does not.

The bill is $80 billion. That bought a virtual environment with roughly 200,000 monthly active users at its peak. A mid-size city newsletter outperforms that number.

The failure was not technical. Zuckerberg confused infrastructure ambition with human desire. People did not want legless avatar meetings. They wanted to call someone, share a photo, buy something. The platforms that won met people where they already were. The Metaverse asked them to relocate.

The people who built it deserve to be named separately from the decision that sent them there. Many believed in it genuinely. Some still do. They are not the story. The judgment that deployed them is.

Now Zuckerberg is pivoting to AI. The infrastructure investment is serious. The model work is competitive. The distribution across Facebook, Instagram, and WhatsApp is an advantage almost no one else holds.

He is asking the same public that watched $80 billion disappear to trust that this conviction is different. The reading on human behavior is better this time. That the room he is building is one people will actually want to enter.

He may be right. A track record, though, does not disappear because the next bet is more plausible. It sits on the table. It is sitting there now.

The AI Agent the West Banned Just Became China's Hottest Product

Google’s Firebase Studio Sunset is a Lesson in Modern Tech Whiplash

Google’s Firebase Studio Sunset is a Lesson in Modern Tech Whiplash

Google is shutting down Firebase Studio less than a year after launch. While core services remain, developers must migrate to AI Studio or Antigravity soon.

Google has a reputation for the shiver it sends down a developer’s spine whenever the word sunsetting appears in an inbox. This time, the target is Firebase Studio.

The tech giant is pulling the plug despite launching the platform as a full-stack AI workspace only in 2025.

The official message is corporate optimism. Google claims it’s “simplifying” the offerings by folding the lessons learned from this preview into flagship tools like Google AI Studio and the new Antigravity IDE. They want to streamline the path from a simple prompt to a production-ready app.

If you were using Studio for its browser-based ease, you’re headed to AI Studio; if you wanted deep, local code control, Antigravity is your new home.

There is some nuance to be found in the wreckage. Unlike many of Google’s past “kills,” this isn’t a total abandonment of the underlying tech. Core services such as Firestore, Authentication, and App Hosting aren’t going anywhere.

Your actual databases and user data are safe; it’s just the “Studio” environment, i.e., the UI and the agentic workflow, that is being dismantled and reassembled elsewhere.

However, the logic remains frustrating. Firebase Studio was originally the evolution of Project IDX, offering a low-barrier way for developers on underpowered hardware to build complex apps.

By pushing users toward Antigravity, which favors a local, “code-first” workflow, Google is subtly raising the bar for entry again. It’s a move toward consolidation that prioritizes high-velocity professional workflows over the experimental, accessible middle ground that Studio briefly occupied.

Googles Firebase Studio Sunset is a Lesson in Modern Tech Whiplash

The AI Agent the West Banned Just Became China’s Hottest Product

The AI Agent the West Banned Just Became China’s Hottest Product

Google blocked OpenClaw. Tencent just placed it inside WeChat for a billion users. The same tool, but two very different bets on what AI agents are worth.

While Google was suspending accounts and Meta was blocking access, Tencent was opening a door.

On Sunday, Tencent launched ClawBot, an integration that puts OpenClaw directly inside WeChat as a contact. Over a billion monthly users can now send commands to an AI agent the same way they text a friend. No new app. No friction. Just a conversation that automates your email, moves your files, and runs your errands.

The contrast with the Western response to OpenClaw is not subtle. It is the whole story.

Alibaba moved the week before with Wukong, an enterprise platform built to coordinate multiple agents. Baidu followed immediately with OpenClaw tools spanning desktop, cloud, mobile, and smart-home devices.

Three of China’s largest tech companies deployed major AI agent products within weeks of each other. The China Development Forum, held this weekend in Beijing, centered on industrial AI in its theme for the country’s next Five-Year Plan.

The government has a phrase for what it is building- a new form of intelligent economy.

Regulators in China have flagged security concerns around agent products. That is worth noting. It did not slow anyone down.

What we are watching is the same open-source tool generating opposite responses on either side of a geopolitical line.

In the West, OpenClaw triggered platform bans, account suspensions, and cease-and-desist letters. The concern was real: unauthorized infrastructure access, subsidized token arbitrage, and security vulnerabilities that researchers documented in writing.

In China, those same properties became a feature. An open agent that connects to any large language model through an API is exactly what you want if you are trying to move fast and embed AI into a consumer base of a billion people before your competitors do.

The second-order question is about the users.

A billion people on WeChat can now delegate tasks to an agent that operates on their behalf, within an app that is already their wallet, social graph, work communication, and government interface.

The convenience is genuine. So is the surface area.

OpenClaw taught the West something about platform control. It is teaching China something about distribution. Both lessons are being applied at speed. The conclusions are not the same.

Google

Google Might Use AI to Overwrite Original News Headlines. What Could This Possibly Mean?

Google Might Use AI to Overwrite Original News Headlines. What Could This Possibly Mean?

Well, publications no longer need to put heed into their headlines, because Google might change news search forever- with AI.

At a time when content saturation has reached an unsalvageable juncture- AI is only adding to the humdrum.

Users are fatigued- first it was the snacky content that captured their attention spans, then it was AI-generated slop. All of these have fed into a long and curious case of brain rot.

But content purely for entertainment isn’t the only one that’s losing its quality. It’s as if tech companies have taken a pledge to run all platforms amok with AI- that’s the true potential of this modern tech.

The next target is news headlines.

That was brought to attention by The Verge. The publication noticed that one of their headlines wasn’t the same as what they had written it to be. The original headline (the image below) became “‘Cheat on Everything’ AI Tool.”

image

The five-word headline contributed nothing to the article (whether that’s clickbait or short-lived curiosity). However, it did take away something from the piece- it took away the nuance and meaning that the article actually meant to discover.

It’s all owing to Google.

Google is conducting a narrow experiment and attempting to revamp its search queries. What they are starting with is a news space in Google Discover. The tech giant replaced The Verge’s headlines with ones that aren’t written by the publication itself. And that isn’t minute tweaking a really lengthy headline as they used to do, but overwriting the original.

That might be a small experiment according to Google.

However, there’s no indication that Google’s making such changes. That’s how AI is being incorporated lately in content-driven spaces. And the company isn’t stopping here. It’s also planning to transform how websites show up in Search altogether. It’s influencing how publications and brands market content.

Doesn’t this say a lot about authority?

For Google, the objective is simple: elevate user satisfaction by better matching headings with precise queries. The overall intention is to work on web engagement.

But to what extent will this affect brands and publications such as The Verge?

The extent of it seems uncertain. Because it’s not merely influencing content quality, it’s directly about the future of real, unbiased journalism. We all know that AI models are trained on limited datasets.

When AI in search masks the intent by altering all the headlines, it’s the essence of journalism that takes the brunt. The pathway between a reader and a news piece is severed; clickbait will replace it. What happens then?

It’s a future that we can forecast. But when it’s here, it’ll be a trend that snuck up on us.

Cross-Media Ad Strategies

Cross-Media Ad Strategies: Why the Channel Is the Creative Brief

Cross-Media Ad Strategies: Why the Channel Is the Creative Brief

Cross-media advertising sounds like a planning exercise. It’s actually a creative one. And the brands getting it wrong are doing so long before the campaign goes live.

Most brands run cross-media campaigns the same way someone reposts a tweet to LinkedIn without changing a word. The message stays the same. The format stays the same. Only the platform changes.

And then they wonder why it doesn’t land.

The channel is not a distribution pipe. It’s part of a broader go-to-market strategy, where each touchpoint plays a distinct role. It’s an entirely different context, a different mood, a different reason someone picked up their device in the first place. Treating channels as interchangeable is the fastest way to spend money on advertising that people clock as advertising and move past.

The audience is the same person. The context is not.

Someone scrolling LinkedIn at 8am before their first meeting is in a completely different headspace than the same person watching CTV at 10pm. The same person. Different brain.

LinkedIn is a professional mode, quick judgments, shaped heavily by evolving platform behavior, and how social media is changing modern marketing.

CTV at night is lean-back. Passive. High production value expected. Low tolerance for anything that feels cheap or intrusive.

Social mid-scroll is three seconds. Pattern interrupt or nothing.

Search is in intent mode. They have already decided they have a problem. The ad’s only job is to confirm you solve it.

Same budget. Same brand. Four completely different creative conversations, something most AI marketing strategies still struggle to unify effectively. And only 9% of marketers have fully integrated cross-channel strategies to account for that.

Cross-channel campaigns improve ROI by 42% compared to single-channel efforts. But only when the creative actually fits the channel. Repackaging the same ad across platforms captures none of that upside.

The math only works when the creative strategy is built per channel, not adapted from a master asset after the fact.

What each channel actually asks of the creative

Search: prove you exist

Search advertising is the least creative channel in the mix, and that’s not an insult. It’s the nature of the job.

Someone typed a question. The ad answers it. Clarity beats cleverness every time. The headline has one function: confirm you are the answer to what they just asked. Everything else is noise.

The creative mistake brands make on search is importing brand voice into a context where it doesn’t belong, often a misalignment also seen in poorly executed display advertising strategies. Nobody searching for ‘enterprise data security solutions’ wants wit. They want confidence.

Social: earn three seconds

The creative brief for social is humbling, especially when you consider how fast social media lead generation strategies have evolved. You have the time it takes for a thumb to decide whether to stop or keep going.

Static formats are fighting a losing battle. Video on social outperforms because it creates motion, which creates a pause. That pause is the entire game.

Video ads improve brand recall by 80% compared to static ads. The average video ad completion rate sits at 72%.

But the format alone doesn’t do it. The first two seconds of a social video carry more weight than the next twenty-eight. If the opening frame looks like an ad, it gets skipped like an ad.

The brands winning on social have figured out that native-looking content outperforms polished production—something core to effective social media branding. Not because production quality doesn’t matter, but because anything that announces itself as advertising loses before it starts.

CTV: borrow the room

Connected TV is sitting with someone in their living room. That’s a privilege and it carries responsibility.

CTV ad spend is projected to reach $38 billion in 2026, up 15% from last year. The money is moving because the attention is there. But the attention has conditions.

Production quality has to match the environment. A 15-second ad that looks like it was made for a social feed runs on a 65-inch screen and sticks out badly. The viewer notices. And not in a good way.

CTV is also where sequential storytelling works best. The ability to deliver one message in episode one, another in episode two, and close the arc in episode three is not available on most other channels. The brands treating CTV as a reach vehicle and nothing more are leaving that entire capability unused.

B2B publications: the channel that does the work before the meeting

This is the one most ad strategies underinvest in. And it’s the one that often does more to move a deal than any paid format.

B2B buyers read, especially within ecosystems built through strong B2B media partnerships. Not everything, but they read the publications and newsletters that cover their industry, the ones that feel like peer knowledge rather than vendor noise. When a brand appears in those publications, not as a banner ad in the sidebar but as content, the dynamic changes completely.

A publication like Ciente, covering B2B technology, marketing, and enterprise strategy, reaches the exact buying audience that most B2B brands spend significant budget trying to find on LinkedIn. But the context is different. A reader on Ciente is there to learn. They showed up with intent. They’re not being interrupted mid-scroll.

That’s the context advertorials and editorial partnerships are built for.

Advertorials and editorials: the most misunderstood format in B2B

Advertorials and editorials: the most misunderstood format in B2B, especially when compared to structured content marketing strategies. The word advertorial has a reputation problem. It carries a faint smell of native ad cheese, the listicle that’s really a product pitch, the ‘sponsored content’ that reads like a press release.

That’s the bad version. The good version is something else entirely.

An advertorial in the right publication, written with genuine editorial rigor, does something no banner ad or sponsored post can do: it transfers credibility. The reader’s trust in the publication extends to the brand being featured. Not because they were tricked, but because the content earned it.

Ads with storytelling elements increase recall by 85%. The format that structures advertising as a story, as an editorial, as a piece of knowledge rather than a pitch, outperforms promotional formats on the one metric that determines whether advertising actually works long-term.

Editorials go further—aligning closely with long-term thinking outlined in any strong brand strategy. When a brand’s thinking, not its product, shows up in editorial coverage of an industry publication, the perception in the market shifts. The brand becomes part of the conversation rather than a voice trying to break into it.

For B2B brands running cross-media strategies, publications covering their vertical represent a touchpoint that search, social, and CTV cannot replicate. The reader isn’t in browsing mode. They’re in learning mode. And content that meets them in that mode with actual insight rather than a disguised pitch compounds over time in a way that paid impressions simply don’t.

Why most cross-media strategies still fail

The stats are not encouraging.

Executing effective cross-channel communication is the primary challenge, particularly when it isn’t aligned with a unified client strategy.

The reason isn’t budget; it’s the lack of alignment across systems that frameworks like CRM strategies are meant to solve. It isn’t technology. It’s that most brands are still running channels as separate programs with separate teams, separate KPIs, and separate creative briefs that were written independently of each other.

The campaign feels disjointed to the buyer because it was built disjointed.

A buyer might see a LinkedIn thought leadership post on Monday, get served a retargeted CTV ad Wednesday night, and then read an editorial piece in an industry publication Friday morning. If those three touchpoints don’t feel like they come from the same conversation, the brand has not run a cross-media campaign. It has run three separate campaigns that happen to share a logo.

Customers who interact with brands across multiple channels, often through approaches like account-based marketing, spend significantly more. The spend lift is real. But it requires the channels to work together, not just coexist.

The brands capturing that 30% lift are the ones where a single creative strategy runs underneath every channel, adapting its expression to the format without losing the thread. The LinkedIn post and the CTV spot and the editorial piece are all saying the same thing, just in the language each channel requires.

The question to bring back to the brief

Before any channel decision, before any media buy, before any creative brief gets written, there is one question that determines whether a cross-media strategy has any chance of working.

Who is this person, where are they, and why did they pick up their device? The same foundational question behind any effective content strategy.

The answer is different for every channel. And the creative has to be different too.

The brands that understand this build campaigns that feel native everywhere they show up. The ones that don’t build campaigns that look like they belong nowhere.

Retail Media Networks in 2026

Retail Media Networks in 2026: What They Are, Why They’re Everywhere, and What Brands Actually Need to Know

Retail Media Networks in 2026: What They Are, Why They’re Everywhere, and What Brands Actually Need to Know

Retail media networks are now a top-three advertising channel globally. Here’s what that actually means for brands, retailers, and the marketers stuck between both.

There are 277 retail media networks operating globally as of late 2025.

Two hundred and seventy-seven.

Most brands are using one. Maybe two. And the ones winning deals and moving product are already asking the right question: not which network to be on, but how to actually use them instead of just paying to exist on them.

That’s the gap this piece is about.

What a retail media network actually is

What a retail media network actually is—and where it fits within a larger retail media advertising strategy is often misunderstood. Strip away the jargon, and a retail media network is simple: it’s a retailer selling advertising space to brands using the retailer’s own customer data.

Amazon does it. Walmart does it. Kroger, Target, Home Depot, CVS, Instacart — they all do it now. And the reason every retailer with a loyalty program and a website is building one is not altruistic.

Retail media generates 50% to 70% operating margins for retailers. The core retail business, by comparison, is lucky to hit 3%.

So yes, every retailer that can is building a media network. Because it turns their customer data — which they already have — into a revenue line that is more profitable than selling the products themselves.

That’s the business case on the retailer side. Now here’s what it actually is for brands.

For brands, a retail media network is the ability to place ads in front of people who are already shopping. Not people who might buy. People with credit cards in hand, in a specific aisle — digital or physical — actively looking at the category your product sits in.

That’s a different kind of attention than what search or social can offer, especially when compared to evolving social media lead generation strategies. And that difference is why the money is moving.

The numbers that explain the shift

The numbers that explain why money is moving

US retail media ad spend is projected to reach $69 billion in 2026. That’s up from $62 billion in 2025. It’s growing faster than the overall digital ad market.

To put that in context: retail media spend now accounts for nearly 29% of all US digital advertising. That is not a niche channel anymore. That is the channel.

Retail media is 50% more effective than social media at driving action after ad exposure. Not engagement. Action — as in, someone going and buying the thing.

The reason is straightforward: the targeting is based on purchase history, not behavioral inference. When Kroger knows someone buys protein bars every three weeks, and that person is now on the Kroger app, an ad for protein bars is not a guess. It is an educated certainty.

That is what first-party data actually means when it is working properly, something many AI marketing strategies attempt to replicate but rarely match in precision. Not demographics. Not lookalike audiences. Actual purchase behavior, closed-loop, attributed back to a sale.

Where retail media is going in 2026 — and what’s actually changing

Four shifts happening in 2026

1.) Off-site is where the growth is happening

On-site retail media — sponsored products, banner ads on the retailer’s own platform — has been the foundation. It still works. But the ceiling is becoming visible.

The next phase is off-site extending into channels like CTV and programmatic, much like a modern go-to-market strategy would require.

60% of Walmart’s self-serve display spend in Q4 2025 went to off-site inventory. Amazon DSP advertisers increased spend 31% year-over-year as impressions climbed 32%.

The value proposition is the data, not the real estate. aligning closely with principles behind data-driven creative strategy. Once a brand understands that, the question becomes: how do we use Kroger’s purchase data to reach Kroger shoppers when they are watching TV, not just when they are on Kroger’s app?

That is what off-site retail media enables. And it is growing fast.

2.) In-store is finally catching up

80% of consumer spending still happens in physical stores. a shift also explored in the future of the retail media landscape. 90% of retail media advertising, until recently, has been online.

That gap is closing.

Digital screens, smart shelves, programmatic digital out-of-home tied to loyalty data — in-store retail media is scaling. Walmart is testing immersive formats. Spend on in-store placements was projected to surpass $500 million in 2025 and is accelerating.

The interesting part: in-store media can now be tied back to purchase data the same way digital can. Closed-loop attribution at the shelf level is no longer theoretical.

3.) Amazon’s dominance is softening — but not disappearing

Amazon’s share of retail media spend dropped from 56% in 2024 to 46% in 2025. That is still the largest share in the market by a wide margin. But brands are diversifying.

Walmart Connect is growing fast. Mid-sized retailers now account for a quarter of all retail media networks globally. The brands moving money are not abandoning Amazon — they are building coverage.

The strategic logic is simple, much like portfolio thinking in a partner marketing strategy.
If your category exists across multiple retail environments, your media should too. Single-network dependency is the same as single-customer dependency in sales. It works until it doesn’t.

4.) Measurement is still the biggest unsolved problem

Measurement is still the biggest unsolved problem, especially when not aligned with a structured CRM strategy. Every retailer has its own data, its own attribution model, and its own definition of what counts as a conversion.

There is no standard. And that is a genuine problem when a brand is trying to compare ROAS across Amazon, Walmart, and three grocery networks simultaneously.

36% of marketers cite difficulty proving incrementality as the primary reason they would reduce retail media investment. Another 32% point to lower ROI compared to other channels.

The irony is that retail media has the best raw data of any advertising channel. The measurement infrastructure to make that data comparable and trustworthy is still being built.

Bain has called this the end of retail media’s ‘easy growth’ phase. The networks that survive 2026 with budget share intact will be the ones that give brands transparency, not just reach.

What the brands getting this right are actually doing

They are not treating retail media as a replacement for search or social. They are treating it as the connective tissue between demand generation and point of purchase.

The brands winning are running upper-funnel campaigns as part of a cohesive cross-channel marketing strategy. Not ROAS in isolation. Full-funnel incrementality.

They are also not concentrating budget in one network, similar to how effective account-based marketing strategies distribute effort across accounts and touchpoints. They are building a portfolio, Amazon for scale and catalog breadth, Walmart for value-oriented shopper access, Kroger or Target for grocery and CPG relevance, and off-site inventory through DSPs to extend reach beyond the retailer’s owned properties.

CPG brands in the US now allocate 39% of their total advertising spend to retail media. Some have reported 154% return for every dollar spent when precision targeting and first-party data are used correctly.

That number is not a guarantee. It is a ceiling — and most brands are nowhere near it because they are still treating retail media as digital shelf-space rather than a data-driven performance channel.

The thing nobody wants to say out loud

Most brands on retail media networks are there because the retailer made it very easy to spend money—something that often leads to weak content strategy alignment.

Self-serve dashboards, sponsored product placements, a few toggles and a credit card — it is genuinely frictionless to start. And genuinely difficult to know if it is working.

The 2026 maturity question for the industry is whether brands start demanding rigor similar to what is expected in a strong product launch strategy. Comparable attribution. Incrementality testing. Cross-network reporting that does not require a team of analysts to reconcile.

The networks that build that infrastructure will keep the budgets. The ones that don’t will start losing share to the ones that do.

277 networks. Most of them will not make it past the decade.

The ones that will are building trust with advertisers, much like brands that invest in long-term B2B media partnerships.