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Venky Ganesan Warns of Disorienting Venture Capital Bubble Conditions

Venky Ganesan of Menlo Ventures argues that venture capital is in a disorienting period, with some portfolio companies growing fast while pre-revenue startups raise billions at $10 to $50 billion valuations. He frames the moment through Chuck Prince's 2007 quote and George Soros's idea of reflexivity.

Original post · 5 min read
A few thoughts on the current state of venture capital.

When the Music Is Playing

In July 2007, a few weeks before the credit markets seized up, Chuck Prince, then the CEO of Citigroup, gave an interview to the Financial Times. The line everyone remembers is this one: "As long as the music is playing, you've got to get up and dance." He was mocked for it for years afterward, and he lost his job a few months later. But I have come to think he was saying something honest. He wasn't claiming the music would play forever. He was admitting that he couldn't sit down while it was still going, and neither could anyone else in his seat.

I've been thinking about that quote a lot lately, because right now is the most disorienting period in venture capital I can remember, and I have been doing this for a while.

Here is what makes it disorienting. It's not that things are bad. Some things are spectacular. We have companies in our portfolio growing faster than anything I have seen in my career, and I don't say that lightly. At the same time, we have companies with no revenue, no product, and a founding team you could fit in a conference room raising billions of dollars at valuations of $10 to $50 billion. Both of these things are true at once, and if you try to reason about them with the same framework you will drive yourself crazy.

Two ideas have helped me make sense of it. Neither is mine.

The first is reflexivity, which George Soros has been writing about since the 1980s. In most of life, perception follows reality: the weather is what it is, and your opinion of it changes nothing. In markets, it runs the other way too. Prices change what participants believe, and what participants believe changes the prices. The feedback loop can run for a long time, and while it's running it looks exactly like progress.

Here is how reflexivity is playing out in AI. Full disclosure: Menlo is an investor in Anthropic, so read the following with that in mind. People watched a frontier lab go from a $4 billion valuation to $18 billion, then $60 billion, then $180 billion, then $380 billion, and now something close to a trillion. They drew the obvious conclusion: that is what a neo lab looks like. So the next neo lab gets priced off that path, not off anything it has built. Then it gets marked up in a subsequent round, and the markup itself becomes the proof. Look at Thinking Machines. Look at Reflection. At that point valuation has stopped being an output of the metrics and has become the metric. Nobody is discounting cash flows. They are discounting the last round.

Soros is very clear about one thing, and it's the part people skip: you cannot know when or how a reflexive process ends. You only know that it does. Every one of them has.

The second idea is Chuck Prince's, and it explains why smart people keep dancing even when they can see the loop for what it is. As far as I can tell, there are two groups on the dance floor.

The first group got in early. Firms like ours were in some of these AI companies before the numbers got silly, and the paper gains are enormous. When you are sitting on gains like that, you start to feel like you're playing with house money. I have been around long enough to know that house money is the most dangerous kind, because you don't respect it the way you respect money you had to earn.

The second group missed the early rounds and knows it. Their LPs know it too. So they are trying to make up for lost time by writing very large checks very late, which is the one strategy almost guaranteed to turn a missed opportunity into a real loss.

House money on one side, FOMO on the other, and reflexivity feeding both. That's the whole story. Everyone has a reason to keep dancing, and the reasons are different, which is why nobody can talk anyone else off the floor.

So what do you do? The instinct in our business is to answer with company identification: just pick the right neo lab and you'll be fine. I think that's the trap. When price has become the signal, being right about the company is not enough, because you can be right about the company and still be wrong about the price by a factor of ten. The public-market investors I admire figured this out a long time ago. They spend as much time on how much to own as on what to own.

The winners in venture over the next decade will be the firms that treat portfolio composition and position sizing as seriously as they treat sourcing. How much of the fund is in companies whose valuation rests on the last round rather than on revenue? What happens to the portfolio if the reflexive loop breaks next year instead of in five? Those are not exciting questions. They are the ones that will matter.

The music will stop. It always does. Dance if you must, but know where the chairs are.
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More in Business & Markets

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

A tracker account relays Michael Burry's view that $573 billion in AI financing over the past year runs through eight companies that lend to, guarantee and buy from one another. Burry compares the setup to the 2000 telecom fiber bust and warns guarantees could be called if AI revenue disappoints.

Original post · 1 min read
Breaking: Michael Burry says the AI boom is running on one giant loop and time is running out

Here's his breakdown:

1. Burry shared a report from Wall Street lender Ares tracking $573B of AI financing from the last 12 months

2. All of it runs through just 8 companies: Meta, Oracle, Microsoft, Amazon, OpenAI, Anthropic, Broadcom and Nvidia

3. They lend to each other, guarantee each other's debt and buy from each other, so one company's loan is backed by another company's promise to keep spending

4. Every deal depends on one thing: AI spending never slowing down

5. If AI revenue disappoints for even one season, the guarantees could all get called at once, right when the companies backing them are at their weakest

6. Burry says it's the same circular financing that turned the 2000 telecom fiber boom into a bust

Burry claims the stock market in the first stage of grief and the crash is soon
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Navy Pays Anduril $2.9 Billion as U.S. Submarine Capacity Lags

The post argues the Navy turned to Anduril because only two U.S. yards build nuclear submarines and deliver far below the required rate, with China's shipbuilding capacity vastly larger. Anduril is investing $3.7 billion in a new Sparrows Point shipyard, Arsenal-2, with operations planned for 2030.

Original post · 1 min read
The US Navy just paid $2.9 billion to a company that has never built a submarine. Here's why they had no choice.

America has exactly two shipyards that can build nuclear subs. Electric Boat in Connecticut. Newport News in Virginia. The Navy needs two Virginia-class boats a year from them. They deliver 1.1.

Then it gets worse. Under AUKUS, America promised to sell Australia 3 to 5 Virginia-class submarines starting in the early 2030s. We signed a deal to export a product we can't build fast enough for our own fleet.

And the number behind all of it comes from the Navy's own intelligence office. China's shipbuilding capacity sits around 23 million tons a year. America's is about 100,000 tons. 230 times larger. One Chinese shipbuilder, CSSC, built more commercial tonnage in a single year than every American yard combined has built since World War II.

Both incumbent sub yards carry backlogs stretching past 2040, and the supplier base behind them shrank by thousands of companies after the Cold War. You cannot order your way out of that. There was physically no third option to call.

So the Navy invented one. Anduril adds $3.7 billion of its own money, breaks ground on the bones of Bethlehem Steel at Sparrows Point, once the largest steelworks on earth, shuttered in 2012, the yard complex that fed the fleet that won WWII. Hiring starts in 2029. Operations in 2030.

Four years from announcement to first output, and in American shipbuilding that counts as a sprint.
Anduril Industries @anduriltech
Anduril is investing $3.7B into Arsenal-2.
The next great American Shipyard.
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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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a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z's Ryan McEntush argues that data centers agreeing to curtail power during peak hours can connect to congested grids sooner. He cites Texas's queue growing to 474 GW, about 90% of it data centers, and estimates 100 GW of flexible capacity could be added without new plants.

Original post · 1 min read
Left: Texas's grid only maxes out about 200 hours a year, roughly 2% of the time.

Right: New data centers that agree to cut back during peak hours can skip the wait for more capacity. US grids could add 100 GW of them without building a single new plant.

a16z's @rmcentush on how flexible data centers get onto the grid sooner: a16z.news/p/why-texas-is-making-data-centers
Ryan McEntush @rmcentush
Why Texas Is Making Data Centers Wait — At the end of 2024, Texas’ grid operator had 63 GW of large new customers in its queue. By this June, that figure reached 474 GW, more than five times record peak demand, about 90% of it data centers.
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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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