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# The Adjacent Brief — October 28, 2026
- URL: https://adjacent.media/briefs/2026-10-28/
- Published: 2026-10-28T14:15:03.000Z
- Updated: 2026-10-28T14:15:04.000Z
- Description: Anthropic’s IPO filing shows its compute and infrastructure spend falling from roughly $2.50 per dollar of revenue in Q1 2025 to under 50 cents in Q2 2026, according to the Financial Times.
- Author: Jonathan Greene
- Tags: #brief

**TL;DR:** Anthropic's IPO filing shows its compute and infrastructure spend falling from roughly $2.50 per dollar of revenue in Q1 2025 to under 50 cents in Q2 2026, according to the Financial Times. Cohere said Alibaba's Qwen model tried to send a file to a server in Beijing after being instructed not to use external tools.

## Worth Reading

- [42% of recent US grads hold jobs that don't need a degree, and the anger is spilling into the streets from Paris to Kathmandu](https://fortune.com/2026/10/26/gen-z-underemployment-riots-france-cockroach-india-rebellion/?ref=adjacent.media) — Underemployment is turning into a political problem as well as a labor-market statistic.
- [Netflix carries 1 million paying subscribers who haven't watched anything in a year](https://open.substack.com/pub/lewislin/p/o22-the-1m-netflix-subscribers-who) — Inertia is a revenue line. Every subscription business has a version of it, and regulators have noticed.
- [You delegated the work to AI agents and inherited a new job: reading their status updates](https://open.substack.com/pub/natesnewsletter/p/ai-agent-overload) — Agent productivity gains get eaten by the supervision layer unless someone designs that layer on purpose.
- [An AI radio host wins Spanish-speaking listeners by taking a side](https://www.wired.com/story/this-ai-radio-hosts-speaks-spanish-and-backs-immigrants-its-winning-over-listeners/?ref=adjacent.media) — The synthetic voice works because it has a point of view. The audience stays for that, and the novelty of the technology does not hold it.
- [India can design chips but can't yet afford to make them at volume](https://asia.nikkei.com/business/tech/semiconductors/india-s-chip-design-startups-struggle-with-final-commercial-hurdle?ref=adjacent.media) — Government support covers the design stage. Fab costs and low volumes block the last mile.
- [DNS is being quantum-proofed now, while it's still cheap to do it](https://www.theregister.com/networks/2026/10/26/work-to-protect-dns-from-quantum-decryption-attacks-is-speeding-up/5305274?ref=adjacent.media) — Internet plumbing migrations take a decade, so the work has to start before the threat arrives.
- [Wallet security checks can verify code, not intent](https://thedefiant.io/news/security/how-to-check-a-software-wallet-and-what-the-checks-cannot-prove?ref=adjacent.media) — A useful primer on what software audits actually guarantee. The answer is less than users assume.

## Brand & Growth

**Scarcity only sells when it's real**

The Business of Fashion separates genuine scarcity from manufactured hype, using New Balance as the case study. Shoppers have spent a decade learning to spot fake drops. A limited run backed by a real constraint, such as materials, craft, or factory capacity, holds its value. A countdown timer on an unlimited SKU trains customers to wait for the restock.

China offers the other side of the same lesson. Sixth Tone reports that the trillion-yuan womenswear market [has lost its color](https://www.sixthtone.com/news/1019172/Rack%20and%20Ruin:%20How%20China%E2%80%99s%20Trillion-Yuan%20Womenswear%20Market%20Lost%20Its%20Color?ref=adjacent.media). Algorithm-optimized fast fashion has converged on the same safe silhouettes, and young women are turning to vintage. They want something nobody else on their feed owns, and price is secondary. For brand leaders, data-driven assortment produces sameness, and customers can see it.

**When the industry won't build it, the customers do**

Pennsylvania Dutch communities, which carry rare genetic diseases at elevated rates, are [building a drug company of their own](https://www.statnews.com/2026/10/27/gene-therapy-cow-rare-disease-amish-mennonite-patients-waiting/?utm%5Fcampaign=rss&ref=adjacent.media) instead of waiting for biopharma to find their market big enough, STAT reports. The mechanism recurs in other categories: when incumbents' economics exclude a customer segment, a tight-knit community with shared need and trust can organize demand and capital itself. Watch for the same pattern anywhere a niche is underserved but cohesive.

**Platforms keep the margin, creators keep the risk**

Simon Owens finds that Instagram [has found a new way to avoid sharing revenue with creators](https://open.substack.com/pub/simonowens/p/instagram-found-a-new-way-to-avoid), cutting back engagement-based payouts. Last week YouTube set a bar of 10 million views per 90 days for Shorts monetization. Platforms want creator content without creator payroll. As platform income dries up, direct creator partnerships carry more weight for brands. Expect creators to push for higher rates and more equity-style deals.

## Commerce Rewired

**Anthropic's unit economics are the actual IPO story**

Anthropic's S-1 shows compute and infrastructure costs [falling from about $2.50 per dollar of revenue in Q1 2025 to under 50 cents in Q2 2026](https://www.ft.com/content/a6c43402-719e-4295-ae5f-541edb0aeb29?ref=adjacent.media) (paywall), per the Financial Times. That is a fivefold swing in six quarters. It answers the "AI is a money pit" frame more directly than any earnings call could. The likely drivers are enterprise contracts at sustained utilization plus inference efficiency gains, so the revenue mix is doing as much work as the hardware. One company's filing doesn't settle frontier-model economics. It does give buyers a reference point: the vendor charging you now has margin to defend, and that changes how pricing negotiations go.

At the other end of the market, Bankless tracks [onchain inference markets](https://www.bankless.com/read/rising-onchain-inference-markets?ref=adjacent.media) where Orbio, Surplus Intelligence, and Antseed compete as lower-cost providers. The open question is whether they deliver reliability that enterprise buyers will pay for. Frontier labs are now cutting their own costs, and the price gap these networks depend on is shrinking.

**Apple's privacy wall doubles as a toll booth**

Digiday maps [where ad money goes after Apple's identity block](https://digiday.com/marketing/in-graphic-detail-what-apples-identity-block-means-for-the-ad-money/?utm%5Fcampaign=digidaydis&utm%5Fmedium=rss&utm%5Fsource=general-rss). Restricting third-party targeting identification on Apple devices weakens everyone's personalization except Apple's own ad platform. Platform control is Apple's most durable asset, and privacy is the most defensible way to exercise it. CMOs should plan budget shifts toward first-party data, contextual buys, and Apple Search Ads, and should not wait for a workaround.

## Connected World

**Enterprise infrastructure bills arrive before the lab breakthroughs do**

Forrester's 2027 outlook warns that [AI production workloads will force infrastructure overhauls](https://www.forrester.com/blogs/predictions-2027-prepare-for-new-infrastructure-demands/?ref=adjacent.media) as pilots become always-on services. The cost shows up in networking, storage, and power planning as well as GPU line items.

The research pipeline is real but years from procurement. UC San Diego researchers report a laser technique that [could make computer memory 1,000 times faster](https://www.sciencedaily.com/releases/2026/10/261025073046.htm?ref=adjacent.media) than conventional magnetic storage. Separately, physicists have [cleared a hidden obstacle to scaling quantum computers](https://www.sciencedaily.com/releases/2026/10/261024222024.htm?ref=adjacent.media). Neither result changes a 2027 budget. Infrastructure leaders should treat them as horizon items and plan around today's constraints. The quantum work does bear on one near-term task: cryptographic migration, where DNS operators are already moving.

## Culture & Signal

**Ad budgets fund what brand-safety policies claim to block**

NewsGuard documents how [major advertisers bankroll "pink slime" sites](https://open.substack.com/pub/newsguardtech/p/how-major-advertisers-bankroll-pink), partisan networks posing as local news, through programmatic intermediaries. Brand-safety policies govern what marketers intend, while the ad-tech supply chain decides where the money actually lands. Another exclusion list won't fix this. Fewer intermediaries and inclusion lists of publishers you've actually vetted will.

**Single-vendor dependence is a strategic liability, even in war**

Ars Technica reports that Ukraine is [learning to fight without Starlink](https://arstechnica.com/gadgets/2026/10/ukraine-learns-to-fight-without-starlink-as-musk-plays-politics-with-satellites/?ref=adjacent.media) as Musk's political positioning makes access unreliable. The lesson applies to any organization that built critical operations on infrastructure controlled by one person's preferences, including satellites, social platforms, and model providers.

**Journalists go where the professionals already are**

Reporters are increasingly [using LinkedIn to call for sources](https://open.substack.com/pub/meredithandthemedia/p/journalists-are-using-linkedin-to), Meredith & The Media notes. They are following the expert sources, and those experts have mostly stopped engaging on X. For comms teams, LinkedIn is becoming a place where press inquiries arrive, so executives' profiles and posting habits now matter for earned media.

## The New Consumer

**Consent with no "no" button**

Vowe flags Apple [using a dark pattern in iPadOS 27](https://vowe.net/2026/10/26/apple-arbeitet-mit-dark-pattern/?ref=adjacent.media): Siri data-collection consent offers only "now" or "later." That sits awkwardly next to Apple's privacy positioning in ad tech. Apple guards user data strictly from third parties and is far looser about collecting it itself. Expect European regulators to find that distinction less charming than Apple does.

**AI menu photos break the one promise delivery apps make**

A Just Eat listing used AI-generated imagery that [turned a breakfast sandwich into bacon soda](https://boingboing.net/2026/10/26/fountain-pen-just-eat-ai-menu-photos.html?ref=adjacent.media). It's funny. It also undercuts the core transaction. A delivery app sells confidence that what arrives matches what you ordered, and an undisclosed synthetic photo is a misrepresentation with a receipt attached. Etsy tightened its AI-listing rules last week for the same reason.

**Adults are paying for tactile comfort**

Business Insider reports that millennials and Gen Z are [buying Lego, plushies, and other toys at scale](https://www.businessinsider.com/millennials-gen-z-adults-buying-toys-kidulting-2026-10?ref=adjacent.media). The evidence is purchase behavior, not survey sentiment, and it lines up with the screen-avoidant habits we've been watching, like TikTok's "brain stacking" of puzzles and physical media. Brands selling physical, collectible, low-stakes objects have a growing adult market. It doesn't care about age-appropriate packaging.

## Machines & Minds

**Open weights don't mean open intent**

Cohere says Alibaba's Qwen model [tried to send a file to Beijing](https://techcrunch.com/2026/10/26/cohere-says-alibabas-qwen-model-tried-to-send-a-file-to-beijing/?ref=adjacent.media) after being told not to use external tools. Separately, Bruce Schneier highlights research showing [geopolitical bias in Qwen3-Coder](https://www.schneier.com/blog/archives/2026/10/bias-in-qwen3-coder-model.html?ref=adjacent.media), where politically sensitive topics trigger changes in model behavior. Open-weight Chinese models have won enterprise adoption on price and performance. These findings make the choice a procurement and security question. CISOs should require sandboxed tool access and outbound-traffic monitoring for any third-party model, regardless of origin. Qwen is where the exposure is easiest to see today.

The cost of rushed integration is accumulating. One engineer's pun-titled post argues that [the "AI RCEssion" has begun](https://blog.tedivm.com/rants/2026/10/the-ai-rcession-has-begun/?ref=adjacent.media): AI systems bolted onto production without discipline are turning into security and maintenance debt. Companies with mature infrastructure practices absorb that debt, and everyone else pays it in incidents.

**On-device is Apple's real AI moat**

ByteByteGo breaks down [how Apple fits an LLM on your iPhone](https://blog.bytebytego.com/p/how-apple-fits-an-llm-on-your-iphone?ref=adjacent.media) through aggressive compression. Apple controls silicon, OS, and distribution end to end, which lets it deliver private inference no cloud-first rival can match on cost. Yet the same company is nudging iPad users toward Siri data collection. Apple's strongest AI argument is that it doesn't need your data, and it should act like it.

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