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The Computomatix Times

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Business & Markets

Big tech, the economy, investing and trading

Huawei and Qualcomm Sign Broad Patent License, Cross-Licensing Deal

Huawei and Qualcomm announced a multi-year patent license agreement with cross licenses covering 5G, compute, AI and networking, plus Qualcomm's purchase of certain Huawei U.S. patents. Arnaud Bertrand calls it a notable outcome given U.S. efforts to cut Huawei out of those fields.

Original post · 1 min read
This is genuinely incredible: Huawei survived the most aggressive assault against a single company in modern history and is coming out the other side with the U.S. licensing its technology.

And ironically in the exact domains - 5G, AI, compute, networking - that the U.S. tried to cut Huawei out of.
Huawei @Huawei
Huawei and Qualcomm have announced a multi-year, broad patent license agreement that includes cross licenses to the companies' patent portfolios across a range of fields, including 5G, compute, AI, and networking, together with Qualcomm's purchase of certain Huawei U.S. patents.
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Larry Ellison Signs $40.4 Billion Guarantee for Warner Bros. Deal

Aakash Gupta reports that Larry Ellison signed a $40.4 billion personal guarantee to back the Ellison family's roughly $111 billion acquisition of Warner Bros. Discovery after Paramount's purchase, outbidding Netflix. The combined company, to be called Skydance, would include major studios, news networks and a 15% stake in TikTok's US entity.

Original post · 1 min read
A dad just signed a $40.4 billion personal guarantee so his son could buy Hollywood.

In 14 months, the Ellison family bought Paramount for $8 billion, then won a bidding war against Netflix for Warner Bros. Discovery at roughly $111 billion. Warner Bros, Paramount, CBS, HBO, CNN, DC, Nickelodeon, and TNT Sports now sit under one roof. Next week the combined company takes the name Skydance.

Netflix should have won. Warner's board had already signed an $83 billion deal with them and rejected the Ellisons twice, because the money sat in a revocable family trust the board called "illusory."

So Larry Ellison, 82 years old, answered with an irrevocable personal guarantee of $40.4 billion. One signature.

For scale, Larry has sold about $4.7 billion of Oracle stock this entire century. The guarantee was almost 9x everything he's cashed out in 25 years, backed by his 1.16 billion Oracle shares.

The merged streamer launches with around 207 million subscribers and $70 billion in projected annual revenue. And through Oracle, the family also holds 15% of TikTok's US entity.

Harry Potter, Top Gun, Batman, SpongeBob, Game of Thrones, CNN, CBS News, and a piece of TikTok's algorithm, all of it now answers to one family.
Valuetainment @valuetainment
JUST IN: HBO Max and Paramount+ are merging into a single streaming service.
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Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software

Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software▶

a16z reports that Valon raised a $150 million Series D at a $2.3 billion valuation after signing over $200 million in software deals, and describes how it became a regulated servicer before selling its platform to the industry.

Original post · 1 min read
.@Valon just raised a $150M Series D at a $2.3B valuation. Within six months of selling software, they signed over $200M in deals.

(And they're hiring!)

How the seven-year-old company got there:

- Mortgage is $13 trillion of consumer debt running on a system built before the internet, and no servicer will trust a new platform. So Valon became one.

- Co-founder Andrew Wang read every federal and state regulation, 18 hours a day for six months, and turned it into code.

- They ran their own servicer on the software until it hit 3x the industry's efficiency, sold that servicer to a larger mortgage company, and now sell the software to everyone else. One of the biggest servicers in the US is moving 4 million loans onto it, nearly 10% of the market.

Valon is hiring deployment strategists in NY and SF. Read more about their open roles: a16zjobs.substack.com/p/valon-just-raised-150m…

@xlindadu @wangandrewd
a16z @a16z
a16z's Angela Strange sits down with @Valon's Andrew Wang and Linda Du to unpack what it takes to rebuild the infrastructure underneath a $13 trillion mortgage market that still relies heavily on systems designed before the internet.

Linda and Andrew explain why Valon chose the hardest path: becoming a regulated mortgage servicer, translating decades of federal and state regulation into software, and proving the platform on its own loans before selling it to the industry. That foundation made Valon roughly 3x as efficient as traditional servicing and created the system of record it is now usi…
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Arista's Andy Bechtolsheim Says AI Optics Demand Is Just Beginning

Arista's Andy Bechtolsheim Says AI Optics Demand Is Just Beginning▶

Fireside Alpha shares remarks from Arista's Andy Bechtolsheim, who says AI has made optics demand roughly tenfold larger in five years and that another order of magnitude in bandwidth is needed. A companion post cites Meta's Reels watch-time gains from better recommendation models.

Original post · 1 min read
$ANET Andy Bechtolsheim says AI has made optics demand about 10 times bigger in five years and the industry is only at the "very beginning"

"So I guess I don't need to tell you that AI has been driving this incredible increase in demand for high-speed optics, which is probably now 10 times bigger than it used to be five years ago..."

"And what I want to talk to you today is that we're not at the end of this journey, but rather the very beginning. There's easily another order of magnitude increase in bits needed for the next generation kind of data centers."

"So what I want to talk about first is what's happening at the data center level, and how we as an industry have to get together to solve these problems of this very rapid and high demand growth as fast as possible, since AI can't wait."
______
For full set of takeaways to Andy's AI Datacenter and Optics lecture: firesidealpha.substack.com/p/aristas-andy-bech…
Fireside Alpha @firesidealpha
$META Devansh Tandon reveals the tokens-in, engagement-out flywheel behind Meta's recommendation system, where better models lift Reels watch time 30% and the monetization pays for the next training run

"These scaling curves aren't just academic research. They're driving real product impact at scale for some of the biggest consumer businesses in the world."

"Here's a couple of examples I have from Meta's recent earnings reports. Instagram Reels had a strong quarter, 30% year on year watch time."

"And the optimizations we made to improve the quality of recommendations included simplifying ou…
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Amazon Shuts Down Consumer Agent Access, Analyst Calls It Short-Sighted

Olivia Moore argues Amazon's decision to block consumer AI agents is rational near-term, citing advertising margins and Prime lock-in, but says it is a mistake long term because agents are inevitable for low-consideration purchases.

Original post · 1 min read
Amazon shutting down consumer agent access (now both Muse and Instinct) is both completely rational and a big mistake

They have plausible reasons:

1. Advertising accounts for ~10% of Amazon revenue, but an estimated 50-60% of operating profit because it's so high margin. People purchasing via agents = fewer consumer eyeballs to monetize

2. Amazon knows from experience how dangerous it is to give another platform a lever to ramp up / down your distribution 👀 They've done this to many retailers themselves

3. They are in a very good spot re: near-term defensibility - with ~250M Prime subs (who are habituated to buying on Amazon) + a massive logistics and distribution network that you can't vibe code

However, this logic is short-sighted (IMO). Agents are inevitable, especially for the kind of purchases people make on Amazon (low consideration, frequent, fairly urgent or recurring).

I don't think Amazon is going to come out with a first-class consumer agent on their own...and in the meantime, why anger your valuable users and make them even consider alternatives?

It's almost never a good idea to be on the wrong side of innovation. I'd much rather see them continue to greenlight agent traffic (it's pretty minimal now!) and work on adjusting to an agent-first world in the meantime.
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Deedy Argues Google's Bureaucracy Undermines Its Core Priorities

Deedy, a former Google employee, argues the company does middling work on its top priorities while excelling at lower ones, blaming executive behavior and internal promotion incentives during frenetic periods. He lists Google's widely used products and says it prioritizes users over profits.

Original post · 3 min read
Google is an incredible company that I’ve always rooted for that trips over its own bureaucracy in frenetic times.

They ironically do a middling job at their first priority, but crush it at their second or third. We’ve seen this with Search, Google+, Assistant, Cloud and now even AI. Why?

The internet would be unrecognizable without Google. This is a company that has Search, Chrome, Android, Workspace (Docs/Sheets), Drive, Play Store, YouTube, Gmail, Maps, Photos, Translate, Gemini, Calendar, Meet, Chromebooks, Waymo: some of the most widespread and most undermonetized products in the history of the world. It is inconceivable for most of us to live life without software Google has made available for $0.

And truly, having worked there, this is a company that continuously prioritizes their users over profits. Even as a casual reader, it might be trivial for you to imagine 100s of ways to monetize all of Google’s products. But they usually don’t. They don’t just launch experiments because it’s high engagement, but only when it’s actually good.

So how does a company like this falter?

My observation has been that these frenetic eras either attract or condone the worst behavior out of execs that trickle down to the rest of the company. The most “ambitious” L3-L7 people who feel stuck finally see a company-wide priority and their eyes light up with the gleaming prospect of a promotion. A lot of people in big orgs’ entire sense of self esteem is wrapped around their level. They will do a lot for an N+1. “Did you know Sergey is personally working on this?” “Sundar referred to my project in the all hands” In turn, everything in these orgs become a knife fight for getting the most “high impact” projects, fighting for credit, flagrantly hiding concerns around juiced metrics. More work goes into a promo packet than the actual project. Goodhart’s Law kicks in and the metrics measured for a promotion are abused beyond measure.

On the other hand, second and third priority things work brilliantly. It attracts people with genuine interest, sincerity who are willing to play longer term games. Many products have grown and thrived when left alone.

When there is immense pressure for a number to go up, it eventually does but often at the cost of product quality (the small product polish things don’t get me a promo), core innovation (why take on a high risk bet if I can get promoted for copying oai/ant) and cultural cohesion (a lot of bad blood amongst people in the org, tons of reorgs). There is a certain type of individual that thrives in this environment, and they are typically not very likable nor “Googley”. This is why an incredible number of people leave or allow jesus to take the reigns as they cash in the bag.

I lament that every time this happens, we, the billion users, lose out on yet another beautiful Google product.
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Anduril Commits $3.7 Billion to Arsenal-2 Shipyard Project

Palmer Luckey says Anduril is investing $3.7 billion in Arsenal-2, which he describes as the largest American shipyard built since World War II, and calls for bold investment in shipbuilding.

Original post · 1 min read
Anduril is building America's largest shipyard since WWII. This space needs bold investment and decisive action.

In the 1790s, Baltimoore clippers were the fastest and most advanced sailing ships of their time. King George III didn't stand a chance. Time to run the same play.
Anduril Industries @anduriltech
Anduril is investing $3.7B into Arsenal-2.
The next great American Shipyard.
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Chamath Palihapitiya Shares Lessons From Winding Down VC Funds

Chamath Palihapitiya Shares Lessons From Winding Down VC Funds

Chamath Palihapitiya says he stopped managing outside capital a decade ago and is nearing the end of his venture funds, sharing a Q2 summary. He lists three lessons for GPs and LPs: simple reporting, focusing on net DPI, and benchmarking against the Cambridge Index.

Original post · 1 min read
I stopped managing external capital about a decade ago so I could focus on compounding internal capital.

But the nature of Venture Capital is that VC funds take many years to be fully realized.

I’m at the tail end of that journey so am sharing the latest summary from Q2. I will hopefully wind down these funds in the next year or so and close this chapter.

My learnings for GPs and LPs:

1. Reporting should be simple and obvious.

2. Net DPI is all that matters. Optimizing for returns creates discipline and discipline will save you in the bad times.

3. You must compare yourself to the Cambridge Index. It’s fuel if you want to be a 🐐.
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Steve Eisman Dismisses Burry's AI Depreciation Thesis as Academic

Steve Eisman Dismisses Burry's AI Depreciation Thesis as Academic▶

Fireside Alpha quotes Steve Eisman saying Michael Burry's argument about AI depreciation schedules is too academic and that an OpenAI failure would pose a far larger risk. The post quotes a Fireside Alpha clip that includes a separate Jensen Huang anecdote.

Original post · 1 min read
Steve Eisman says Michael Burry’s AI depreciation thesis “too academic” and says an OpenAI failure is the much larger risk

“I think, with all due respect to Michael, I think his argument is too academic."

"Put it this way: if AI succeeds because Anthropic and OpenAI grow like crazy and the hyperscalers do well, et cetera, et cetera, it’s not going to matter if the depreciation schedule changed from three to four years to five to six years."

"At the same time, if OpenAI fails and the whole chain goes in reverse, we’ll have a massive correction which has nothing to do with the depreciation schedule."

"I mean, I think what he’s deep down trying to point out is maybe there’s something wrong here, but I don’t think the thing that he’s pointing to as being wrong is important enough.”
Fireside Alpha @firesidealpha
Jensen Huang jokes ten Somaek drinks left him with no trouble kissing a Korean man on the mouth, and says he has a lot of fans, especially in Samsung's supply chain group

Jensen Huang: “And I’ll just tell you, I’ll just say this one inappropriate thing. I’ve only been kissed in the mouth by a man in Korea.”

Juju Chang: “Lori’s like, ‘Where is this going?’”

Jensen Huang: “I don’t know. And it was a Samsung employee, Jay.”

Juju Chang: “Wow, this is getting really good. Okay.”

Jensen Huang: “But we have some serious things I’ve got to say. But I just, what is that drink called where soju goe…
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AMC Theaters' Private Movie Rentals Began as a Pandemic Lifeline

Aakash Gupta explains that AMC rents whole auditoriums for as little as $99 because most seats go unsold and projection costs are nearly fixed. He says the product began during COVID, when AMC lost $561 million in one quarter.

Original post · 1 min read
Renting out an entire movie theater costs as little as $99. AMC put it right on their website in 2020, at $99 for older titles and $149 to $349 for new releases, whole auditorium, up to 20 guests.

Split with 10 friends, that's cheaper than everyone buying their own ticket in LA.

The reason theaters sell this so cheap is the fun part. Close to 9 in 10 movie theater seats in America go unsold across all showtimes, and on a weekday afternoon auditoriums run around a quarter full. The projector is digital, the staff is already on shift, the AC is already running. Playing a movie to an empty room costs the theater almost the same as playing it to a full one.

So a guaranteed $349 for a room that might have held a dozen strangers is a great trade. Even better, buyout groups hit the concession stand together, and popcorn carries a markup north of 1,000%. Concessions are where theaters make their real money, since studios take most of the ticket revenue in a film's opening weeks.

AMC only started selling this to regular people because COVID nearly killed them. They lost $561 million in a single quarter of 2020 and began renting empty rooms to anyone with a credit card just to survive. The margins were so good they kept the product after the pandemic ended.

Celebrities were the beta testers. A private screening used to signal you were a studio mogul with a theater in your basement. Now it's a birthday party option that costs less than dinner for six.
keeno @ayekeeno
Kylie Jenner shows how she has to rent out entire movie theaters when she goes to watch a movie with her friends in LA because of how famous she is 👀🍿
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DHH Says AI Agents Make Apple a Poor Fit for Hackers

Apple and a Hacker’s Future

DHH quotes a Stratechery essay by Ben Thompson arguing that AI agents make Apple's walled garden feel like limitation rather than protection. DHH says he can now imagine no longer buying Apple by default.

Original post · 1 min read
"Not only am I uninterested in the company’s home device, I can, for the first time, envision a future where I don’t buy Apple by default. Indeed, this already happened..."

Anyone into the age of agents will eventually realize Apple is a bad fit.

stratechery.com/2026/apple-and-a-hackers-future/
stratechery.comApple and a Hacker’s FutureI was happy for years in Apple’s walled garden; with AI, however, their protections feel like limitations.
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Chicken Industry Depends on Two Firms' Grandparent Stock Breeding Lines

Arnaud Bertrand explains that most meat chicken farmers buy grandparent stock from Cobb-Vantress, owned by Tyson Foods, or Aviagen, controlled by Germany's EW Group. Because farmers cannot breed the pure lines themselves, they must keep buying chicks, and the post links to reports on Chinese breeds.

Original post · 4 min read
I was having dinner last night with a friend working in the chicken industry and I learned something that blew my mind.

Where do chicken farmers get their chickens? Most of us would say "from their existing chickens obviously, they breed and lay eggs."

That's what I thought too, but turns out I was dead wrong.

The reality is that the immense majority of meat chicken farmers in the world get their chickens from one of 2 companies: Cobb-Vantress, owned by Tyson Foods, or Aviagen, controlled by Germany's EW Group (the Wesjohann family).

They have a concept specific to the industry called grandparent stock: what you buy from these 2 companies is - essentially - a bunch of chickens with planned obsolescence.

The way it works is that each company keeps "pure" bloodlines on its own farms. Let's label them A, B, C and D. Those are the crown jewels - these companies' IP - and they never leave the building.

What they sell you are the "grandparents": chicks from those four lines, but each line in only one sex. You get A roosters but no A hens, B hens but no B roosters, C roosters but no C hens, D hens but no D roosters. Which means you can never breed more A, B, C or D birds yourself.

What you can do is cross them. A roosters with B hens give you the fathers, C roosters with D hens give you the mothers - these are the "parents". The parents then give you the chickens that actually end up on our plates, slaughtered at around 6 weeks.

And that's the end of the road. If you tried breeding those chickens, their chicks would be a complete genetic lottery: still chickens, sure, but without the genetic properties that make them commercially viable. They'd grow slower and less evenly, you'd have to sell them for way more than your competitors, and your business would be dead.

So you have to go back to Cobb or Aviagen for new grandparents. Forever.

Why buy grandparents at all, and raise 2 generations just to sell the third? The answer is scale. If you buy say 100 grandparents, each of them gives you around 50 parents, and each parent hen then gives you around 150 chicks: from those 100 grandparents, you have yourself some 600,000 chickens whose meat you can sell.

It makes no sense for these 2 companies to sell the final chickens directly. They'd have to hatch tens of billions of chicks a year and ship them all over the world. Much easier to simply sell the grandparents and let farmers do the multiplying and pay for the farms, the feed and the labor.

And, you knew this was coming, there is also a China angle here: as you can imagine, China isn't too pleased to be dependent on foreign companies for such a basic food item as chicken.

So China did what China does best: long-term planning. The Ministry of Agriculture and Rural Affairs launched a plan for "national broiler genetic improvement" (2021-2035), which aims for domestically bred breeds to make up at least 60% of the domestic market by 2035 (globaltimes.cn/page/202307/1294882.shtml).

And, of course, they're ahead of the plan. As of 2025, homegrown breeds held more than 30% of the market: halfway to the 2035 goal in just four years (agripost.cn/2026/08/17/chinas-top-three-domest…).

Can you escape all this as a consumer? Sure, you can buy organic or Label Rouge chicken, from slower-growing breeds raised for at least 81 days instead of 6 weeks, for two to three times the price.

Except, plot twist: the genetics behind most of those slow-growing birds come from a French company called Hubbard... which has belonged to Aviagen since 2018 (euromeatnews.com/aviagen-announces-the-acquisi…

And even if you could truly escape, you wouldn't want everyone to: we'd need vast new swathes of farmland, both for the chickens and their feed. Ironically, advocating for organic free-range chicken for everyone is one of the worst positions one can take for the planet's resources.

If you want to minimize your environmental footprint, the counterintuitive answer is to buy the cheapest supermarket chicken - or eat less meat, of course.

As my friend was saying last night, you may not like the way this industry works but, at the end of the day, it's what puts affordable protein on the plates of billions of people, using proportionally fewer resources than any other way of raising chicken.
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Analysts Suggest Meta May Not Need Ads Inside Muse

Sheel Mohnot shares a argument from a linked deep dive that Meta could monetize Muse indirectly: agent actions like browsing, shopping or booking create intent signals usable for ads on Instagram and Facebook.

Original post · 1 min read
This is smart and I hadn’t thought about it this way.

Meta may not need to put ads inside Muse... If Muse browses, shops, or makes reservations for you, it creates intent signals Meta can monetize later through ads on Instagram and Facebook.
Mostly Borrowed Ideas @borrowed_ideas
Why Muse May Never Need Ads $META

full piece: mbi-deepdives.com/no-ads-muse/
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Menlo Ventures Leads Investments in Five of Top 15 Consumer AI Apps

Menlo Ventures Leads Investments in Five of Top 15 Consumer AI Apps

Deedy Das says Menlo Ventures is lead investor in five of the top 15 consumer AI apps by monthly revenue, despite a low-volume investing strategy. He responds to a post by Shaun Maguire highlighting Menlo's Anthropic investment and its involvement with Factory AI.

Original post · 1 min read
Menlo has tried to rebuild from the ground up how we think about investing and we are fortunate to be lead investors in 5 of the top 15 consumer AI apps by monthly revenue despite our low volume strategy.

Thanks for the shout, Shaun! Have a ton of admiration for what you have done at Sequoia. Too many people know you for your firebrand tweets and too few know your excellent investments and that you have a PhD in physics from Caltech (and it’s fun to have your cofounder be a partner!)
Shaun Maguire @shaunmmaguire
Menlo Ventures is on a tear

They led an investment in Anthropic at an ~$4B valuation

At the time, most thought OpenAI would be the singular AI winner

Maybe we’ll see something similar with @FactoryAI? 👀

Welcome to the Factory team @mmurph! twitter.com/menloventures/status/2107110275736…
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Sequoia's Rapid Tranche Investments Show Valuations Climbing Sharply

Tanay Jaipuria notes that Sequoia made seven tranched rounds in the past year, with first-tranche valuations averaging about $110 million and second-tranche valuations averaging about $3.4 billion. He shares a quoted Boston College investment committee presentation on AI.

Original post · 1 min read
One wild stat from presentation:

Sequoia did 7 tranched rounds in the past year.
First tranche (i.e., what they invested at): ~$110M valuation on average.
Second tranche: ~$3.4B on average.
Pat Grady @gradypb
The @BostonCollege Investment Committee (an LP and my beloved alma mater) asked for a few thoughts on what's happening in AI. I recorded a test run yesterday morning and then shared it with my partners, who encouraged me to share it more broadly... so here you go!

This is not a sales pitch, it's just a reflection on what we're seeing. And it wasn't intended to be shared, so please pardon the rough edges.

loom.com/share/c016702964a04dfba40e1777cf5f053a
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Profile Examines David Vélez and Nubank's U.S. Expansion

Patrick O'Shaughnessy recommends a Colossus profile of Nubank founder David Vélez, covering the bank's growth to 140 million customers, its $60 billion valuation and its challenging push into the United States.

Original post · 1 min read
Velez is one of the best CEOs out there today

This is a great profile about him and the Nubank story
Colossus @colossusmag
David Vélez is the founder of Nubank, a bank with 140 million customers and a market capitalization of $60 billion.

When he started the business in 2013, no one thought it would work, not even his investors. He has faced down regulators, oligopolies, and corruption to build Latin America's largest digital bank. Now he is bringing Nubank to the United States, where he faces his biggest challenge yet.

@gabi_imarques, who grew up four miles from Nubank's headquarters in Brazil, spent time with @velez_david in São Paulo, where the business started, and in Miami, its latest beachhead.

She profil…
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Top 1% of Consumers Spend Over $900 Monthly on AI, Report Finds

Top 1% of Consumers Spend Over $900 Monthly on AI, Report Finds

Justine Moore reports that the top 1% of consumers spend more than $900 per month on AI products on personal credit cards, a spending level that outstrips the bottom 50% combined, per the a16z Consumer AI Top 100 revenue data.

Original post · 1 min read
The top 1% of consumers spend $900+ per month on AI products - on their PERSONAL credit cards.

We have officially invented the "AI whale."

This cohort outspends the bottom 50% combined 🤯
Olivia Moore @omooretweets
🚨 The @a16z Consumer AI Top 100 is back - but this time, it's 150!

We added revenue data from @yipitdata to track how consumers are spending not just time, but money, on AI.

The result? A story of heavy concentration among AI's power users. Our takeaways 👇
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a16z Charts Big Tech Profits Shifting to Chipmakers

a16z Charts Big Tech Profits Shifting to Chipmakers

a16z shares a chart showing approximate free cash flow falling for hyperscalers from $275 billion to zero while semiconductor free cash flow rises from $50 billion to $400 billion since 2022, linking it to its State of Markets II report.

Original post · 1 min read
The AI buildout in one chart: Big Tech's profits have become chipmakers' profits.

Approximate free cash flow, from 2022 to today:
- Hyperscalers: $275B → $0
- Semiconductors: $50B → $400B

More charts in State of Markets II: a16z.news/p/state-of-markets-ii
David George @DavidGeorge83
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next.

Tech is the everything cycle.

Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product.

Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffus…
a16z.newsState of Markets II100+ Charts On The State of Markets (1H’26). It's the best. You wouldn't want to miss it.
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a16z Analysis Argues AI Shopping Assistants Threaten Marketplace Ad Revenue

a16z Analysis Argues AI Shopping Assistants Threaten Marketplace Ad Revenue

a16z shares a piece by Alex Immerman and Santiago Rodriguez arguing marketplaces earn most from browsing and ad revenue, which AI shopping assistants could bypass. The post cites 2025 ad revenue to operating income ratios for Amazon, DoorDash and Instacart.

Original post · 1 min read
Marketplaces earn their money when you browse, not when you buy. An AI assistant that shops for you skips the browsing.

Ad revenue vs operating income (2025):
- Amazon retail: 2x
- DoorDash: 1.9x
- Instacart: 2.2x

AI assistants don't need to rebuild Amazon's warehouses to hit Amazon's profits.

Full piece from @aleximm and @santiago__rdz on who gets paid when AI does the shopping: a16z.news/p/who-gets-paid-when-ai-does-the-sho…
Alex Immerman @aleximm
Who Gets Paid When AI Does the Shopping? — No one wants to be disintermediated. It happened to Yelp and Tripadvisor with Google. It happened to everybody, with Apple. As a general rule, marketplaces want to own the customer relationship and
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MongoDB CEO CJ Desai Departs for Meta; Stock Falls 20%

Vijar Kohli analyzes Meta's hiring of former MongoDB CEO CJ Desai as Chief Enterprise Platform Officer, noting the timing before MongoDB's investor day and a roughly 20% drop in MDB. He suggests the selloff could be a buying opportunity while questioning Meta's enterprise strategy.

Original post · 1 min read
This is a very surprising move.

1) Zuck buried the lead in his post. CJ is an aggressive hire to build out Meta's Enterprise Platform.

2) MongoDB is a notable $27 billion database business. Dev Ittycheria was CEO for 11 years and stepped down last November.

3) CJ Desai became CEO with a $52m comp package. His base salary was $500k with a $2.5m signing bonus. He left +$49 million on the table. Which means Mark made a serious offer (+$100m?)

4) Dev stepped back in as interim CEO.

5) MongoDB is having their Investor Day tomorrow in NYC at the Nasdaq. RSVPs closed lol

This is probably a poor move by CJ. Mark will make a great offer to any great executive. He probably wasn't aware of MongoDB's Investor Day + timing.

$MDB is down 20% on the news.

The next 2-3 weeks is probably a good time to build a position here. Dev knows the business, and databases are mission critical in the world of AI. MongoDB is not going anywhere.

On the flip side, I have no idea how Meta's Enterprise Product will work. They shut down their Workplace product years ago. Meta is a consumer focused business. But there's tons of opportunity to compete in Enterprise AI with a low cost, open source model. Maybe Meta will pull it off.
Mark Zuckerberg @finkd
To lead this effort, I'm excited that Chirantan "CJ" Desai will join Meta as Chief Enterprise Platform Officer, reporting directly to me. CJ is an experienced enterprise leader with a track record of building full-stack software and delivering results in AI, infrastructure, business applications, and security. He has an extensive industry network that we look forward to partnering with. CJ joins us from MongoDB, where he was CEO and President. Before that he led product and engineering at Cloudflare and spent nearly eight years at ServiceNow, including as President and COO.
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Higgsfield Reaches $1 Billion ARR With 150-Person Creative Team

Higgsfield Reaches $1 Billion ARR With 150-Person Creative Team▶

Harry Stebbings shares that Higgsfield reached $1 billion in ARR in 18 months and relies on an in-house team of over 150 creative professionals. Founder Alex Mashrabov says creative selection remains central to revenue despite heavy AI generation.

Original post · 1 min read
The 150-person content team powering Higgsfield's billion in ARR

“We have an in-house team of over 150 creative professionals. It is almost half of the whole workforce.

For 90 minutes of TV-quality content, it was over 100 hours of AI-generated content.

Creative decision-making, picking the right piece, is still very important. That is what is driving most of the revenue.” @alexmashrabov

Love to hear your thoughts @Diesol @bilawalsidhu @PJaccetturo @c_valenzuelab
Harry Stebbings @HarryStebbings
Higgsfield is the most untold story in tech.

$1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic.

They spend $4M a month on models. They expect this to be $100K per person per month.

They have 150 people working in a content machine.

They will breed more millionaires than any other company in Kazakh history.

For the first time, @alexmashrabov on the journey to $1BN in ARR. (below)

1. The Power of the Immigrant Founder

Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For internation…
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Long Lake Completes $6.3 Billion Acquisition of Amex GBT

Elad Gil highlights that Long Lake, founded three years ago to apply AI across services businesses, has completed its $6.3 billion acquisition of Amex GBT, its fortieth deal, bringing its workforce to nearly 30,000 people.

Original post · 1 min read
Didn't exist 3 years ago, now employees ~30,000 people via M&A + AI 🤯
Alexander Taubman @alextaubman
Today, Long Lake completed our $6.3B acquisition of Amex GBT.

Long Lake acquires and transforms generational businesses with AI across the American services economy.

Amex GBT is the travel partner for 17,500 businesses in 140 countries. Last year, Amex GBT booked 35 million trips for 10 million travelers.

This marks Long Lake’s 40th acquisition, and our family of companies now employs nearly 30,000 people.

We founded Long Lake three years ago with the thesis that AI is going to change every company, but there’s a large overhang between AI capabilities and how most businesses leverage AI to…
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Nadella Describes Daily Hyperscaler Filing Dashboard Built With Coding Agent

Nadella Describes Daily Hyperscaler Filing Dashboard Built With Coding Agent▶

Microsoft CEO Satya Nadella says he uses a coding agent and a Fabric data pipeline to pull SEC filings from hyperscalers and neoclouds into a daily-refreshing dashboard tracking real-time ROIC by layer. He also warns that frontier models optimizing working capital could fake financial books.

Original post · 1 min read
Satya Nadella reveals his coding agent pulls every hyperscaler and neoclouds' SEC filings into a dashboard that refreshes every day for real-time ROIC

"And this is the other aspect of it, which is the enterprise context combined with the world's context. In fact, I go to the SEC filings of every cloud provider, hyperscaler, each of these neoclouds. It's in real time."

"I have a data runner in Fabric that brings all that data, puts it into a semantic model that then gets read by my coding agent and then surfaces it as a dashboard. And every day it's fresh."

"So I have the entirety of every SEC filing that goes out there, plus all of my internal analysis constantly coming together, giving me real-time ROIC by layer."
Fireside Alpha @firesidealpha
Satya Nadella warns a frontier model told to optimize working capital may fake the books, a new type of insider risk

"One of the fascinating things right now is the insider risk. I mean, think about it, right? If you're sitting in an enterprise, this is all test-time compute, by the way, right? So it's not like, oh, it's going to only happen in some training run."

"It can happen for a very mundane task that I give one of these frontier models inside an enterprise, where I say, you know, I don't know, telling David this, or suppose I say, hey, go optimize my working capital."

"It may fake my…
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Elad Gil Reacts to SpaceX Starlink V3 Satellite Deployment

Investor Elad Gil reposts a note that SpaceX deployed Starlink V3 satellites into orbit and made first contact with them. The quoted post says one Starship carries 60 V3 satellites, roughly the network capacity of about 20 Falcon 9 launches.

Original post · 1 min read
WTF
Nic Cruz Patane @niccruzpatane
From concept to reality.

@SpaceX has successfully deployed Starlink V3 satellites into Earth’s orbit and made contact with them for the first time.

At scale, one Starship carries 60 V3 satellites, the same network capacity as about 20 Falcon 9 launches.
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