读完一早上的访谈.
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AI 资本周期：泡沫还是 S 曲线 · AI Capital Cycle

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主题页（活文档）· 最近更新 2026-06-11 · 取材 7 篇核心访谈（按逐字稿全文核对）

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第一点：用股价定义"泡沫"是错的——要看 API calls / 资产负债表

几乎所有投资人都拒绝"看股价判断泡沫"。State of AI 那期讲得最彻底：

"People equate bubble to stock prices, which has nothing to do with anything other than fear and greed among investors. So I always look at bubbles should be measured by the number of API calls — or in the dot-com bubble, it should be amount of internet traffic. … There's no bubble detected in internet traffic. I would almost guarantee you, you won't see the bubble in number of API calls."
「人们把泡沫等同于股价——而股价跟别的没关系，只跟投资者的恐惧和贪婪有关。所以我一直认为，泡沫应该用 API 调用次数来衡量；在 dot-com 泡沫里，则应该看互联网流量。……互联网流量里根本没检测到泡沫。我几乎可以向你保证，你在 API 调用次数里也不会看到泡沫。」
State of the AI Industry (Ep 12) · Episode 12 - State of the AI Industry

Casado 把判断锚在出资方的资产负债表上，并直接对照 dot-com 的债务驱动：

"Back then, [WorldCom] had $40 billion in debt. We also had 9-11. … The companies that are investing in these data centers have hundreds of billions of dollars on the balance sheet. … These companies have great balance sheets, great cash flow. And so the fundamentals of who's funding this is quite different."
「当年 WorldCom 背着 400 亿美元债务，还赶上 9-11。……而今天投资这些数据中心的公司，资产负债表上趴着几千亿美元现金。……这些公司资产负债表好、现金流好。所以'谁在出资'这件事的基本面，完全不同。」
Martin Casado (a16z) · Why This Isn't the Dot-Com Bubble

第二点：Jevons paradox——降本不减需求，反而触发指数增长

这一条跨多篇，几乎是共识。Nebius 讲得最直接：

"Every time we get intelligence cheaper, we don't reduce consumption; we increase it because we can solve more complex tasks with the same budget."
「每次我们把智能做得更便宜，我们不会减少消费——反而增加，因为同样的预算能解更复杂的任务。」
Roman Chernin (Nebius) · 20VC: Nebius Co-Founder on AI Infrastructure Bubbles

State of AI 给了一个更强的版本——需求目前只被算力供给卡住，价格弹性那根杠杆还没开始拉：

"Demand is limited not by anything other than availability of compute today. … There's price elasticity where demand is infinite for compute. … We haven't even started to exercise the price elasticity lever. We can't fulfill demand and it's limited by compute."
「需求目前只被一件事限制——今天的算力供给。……价格弹性那一侧，算力的需求是无限的。……我们甚至还没开始拉价格弹性这根杠杆。我们满足不了需求，它被算力卡死。」
State of the AI Industry (Ep 12) · Episode 12 - State of the AI Industry

第三点：这是史上最大的预算重配——不是凭空创造市场

Casado 用一个具体的反问把"预算重配"讲活了——大公司不是在新增开支，是在把存量预算从旧业务搬向 AI：

"These companies spend lots of money on infrastructure historically. … Do you think Meta is spending more money on VR or AI?"
「这些公司历来就在基础设施上砸很多钱。……你觉得 Meta 现在花在 VR 上的钱多，还是 AI 上的多？」
Martin Casado (a16z) · Why This Isn't the Dot-Com Bubble

分歧在哪

共识止于"不是简单的股价泡沫"。再往下，三个问题上吵得很开：有没有过度投资的系统性风险、价值落在哪一层、用什么单位测增长。

阵营 A · "不是泡沫，是扩张早期"——Nebius / Casado 乐观派

Nebius 明确把当下定义为扩张期而非泡沫，且认为真正的长期威胁不是泡沫破裂、而是过度集中——他用了一个"鲨鱼"比喻：

"The main threat for Nebius as a business is the world will be too much consolidated. It's like a shark — you're alive when you move. … If you end up in the world where three, five super companies, super empires control the world, then companies like Nebius will be needed only to help them serve their needs on the physical layer."
「Nebius 作为生意的主要威胁，是世界过度集中。它像一条鲨鱼——你动着才活着。……如果最后变成三五个超级公司、超级帝国掌控世界，那像 Nebius 这样的公司就只剩一个用处：在物理层帮它们干活。」
Roman Chernin (Nebius) · 20VC: Nebius Co-Founder on AI Infrastructure Bubbles

但 Casado 自己留了一个撤退条款——他把问题问得很诚实：

"The question is, are we over-investing relative to long-term demand? And if so, do we have the economic reserves to stop some sort of systemic unraveling?"
「问题是：相对于长期需求，我们是不是投资过度了？如果是，我们有没有经济储备去阻止某种系统性瓦解？」
Martin Casado (a16z) · Why This Isn't the Dot-Com Bubble

他还给了一个所有怀疑论者都该记住的历史模式——琐碎的早期用例不等于不重要：

"Every major technology wave starts with use cases that look trivial and every time skeptics confuse silliness with insignificance."
「每一波重大技术浪潮都始于看起来很琐碎的用例——而每一次，怀疑论者都把'幼稚'误当成'无足轻重'。」
Martin Casado (a16z) · Why This Isn't the Dot-Com Bubble

阵营 B · "有泡沫，但泡沫对算力买家是好事"——David Cahn 的辩证派

Cahn 不否认泡沫，但把它翻成一个反直觉的判断——过度生产算力会压价、利好算力消费者：

"Consumers of compute benefit from a bubble because if we overproduce compute, prices go down."
「算力的消费者受益于泡沫——因为如果我们过度生产算力，价格就会下降。」
David Cahn (Sequoia) · 20VC: Sequoia's David Cahn

但逐字稿里他的核心贡献，是把"风险在沿着生态链往下传"讲得极其具体——这是摘要层完全压扁的一段：

"Microsoft walked away from two data centers. And it sent a message to the market: we're not going to be this risk absorber in the ecosystem anymore. … Then Oracle stepped up … CoreWeave stepped up … Oracle and CoreWeave are a lot smaller than Microsoft and Amazon. They simply can't absorb as much risk. And so the chip companies are now stepping up … to finance this build out where the demand on the other side is not so clear."
「微软放弃了两个数据中心，向市场传了个信号：我们不再当这个生态里的'风险吸收器'了。……然后 Oracle 顶上来了……CoreWeave 顶上来了……可 Oracle 和 CoreWeave 比微软、亚马逊小得多，它们根本吸收不了那么多风险。于是芯片公司现在也顶上来了……去给这场建设出资，而需求那一侧并不那么清晰。」
David Cahn (Sequoia) · 20VC: Sequoia's David Cahn

而且他点出这条链里的"循环融资"——芯片公司既出资又把它记成营收，资金成本被压到近乎为负：

"The chip companies also get to book this as revenue. So their cost of capital is very low. One might even say their cost of capital is negative in some of these deals. … Moving from expensive capital from these big tech companies to cheaper capital from the chip companies themselves who get to benefit from circularity — that's probably been the biggest change in the last 12 months in AI."
「芯片公司还能把这笔记成营收，所以它们的资金成本非常低——某些交易里你甚至可以说是负的。……从大科技公司那种昂贵资本，转向芯片公司自己这种因'循环'而便宜的资本——这大概是过去 12 个月 AI 里最大的变化。」
David Cahn (Sequoia) · 20VC: Sequoia's David Cahn

但他对"债务会引爆泡沫"这个流行叙事泼了冷水——他认为真要瓦解，是股权式瓦解，痛的是普通人的股票组合：

"The AI buildout today has been equity funded and cash funded. … To the extent that the bubble unwinds at some point, it's going to be an equity unwind. 40% of the S&P 500 is basically a bet on AI. … A greater percentage of Americans' net worth is equities than ever before in history. So people are going to feel this in the form of their equity portfolio going down."
「今天的 AI 建设主要是股权和现金出资的。……所以真要在某个点瓦解，那会是一次股权式瓦解。标普 500 有 40% 本质上是在押 AI。……美国人净资产里股票的占比，比历史上任何时候都高。所以大家会以'股票组合缩水'的形式感受到它——而不是 2008 那种银行被波及的债务瓦解。」
David Cahn (Sequoia) · 20VC: Sequoia's David Cahn

阵营 C · "价值落在卖短缺的人手里"——Coatue 的 shortage 框架

Coatue 给了这批里最锋利的分类——sellers vs buyers of shortage，并点明资本如何在两者间转移：

"The buyers are being punished because their spending, their capex is so high that their near-term cash flow is gone. And that transfer is happening directly to the pockets of the sellers of the shortage. … At one point, there will be a power that shifts the other way. And we need to be extremely well prepared."
「买方正在被惩罚——因为他们的开支、capex 太高，近期现金流被吃光了。这笔（被惩罚的代价）直接转移进了'短缺卖方'的口袋。……但总会有一刻，力量会往反方向翻转。我们得为那一刻做好万全准备。」
Coatue CIO (Jaimin Rangwalla) · Exclusive Interview: Coatue CIO on AI's Biggest Winners

而且 Coatue 观察到一个被忽略的架构转变——agent 时代算力配比正在从 GPU-heavy 翻向 CPU-heavy：

"For the greater part of the last three or four years, it was very much one CPU and even eight GPUs … But now the ratio is moving to one CPU to four GPUs … We think it actually has a chance to flip the opposite direction — one GPU to four CPUs. Some people, very aggressive, say one GPU to eight CPUs. … [Agents] require more just serial task completion."
「过去三四年的大部分时间，基本是 1 个 CPU 配 8 个 GPU……现在比例正移到 1 CPU 配 4 GPU……我们认为它甚至有机会翻到反方向——1 个 GPU 配 4 个 CPU，激进的人说会到 1 配 8。……（agent）需要的更多是串行任务完成。」
Coatue CIO (Jaimin Rangwalla) · Exclusive Interview: Coatue CIO on AI's Biggest Winners

（Coatue 同时把度量单位从 GPU 换成 gigawatt——"the gigawatt is the atomic unit of where the growth in AI is coming from"；但若上面这个 CPU 配比转变是真的，"卖短缺的人"名单本身也会变。）

阵营 D · "S 曲线 + 硬件去商品化"——Whale Rock Sacerdote 的周期派

Sacerdote 用 S-curve 框架，给了一个反 FOMO 的实操建议——晚入场没关系：

"It is okay to be late. It is okay to miss the first few years because if the top of the S-curve is half a trillion, the growth can go on for a long time."
「晚一点没关系。错过最初几年也没关系——因为如果 S 曲线的顶端是五千亿，增长可以持续很久。」
Alex Sacerdote (Whale Rock) · How to Invest Through Technology Cycles

他对价值落点的判断是数据中心硬件的"去商品化"——而且讲得极具体、极生动：

"We call it the decommoditization of the hardware industry. … To do an AI server, it's liquid cooled … it's a two or three hundred thousand dollar piece of machinery, whereas an old server was five thousand dollars. If the old one breaks, you just throw it away. If this thing breaks, the whole thing goes down. So you become a supplier like selling a critical part on a plane. You'll never get swapped out."
「我们管它叫硬件行业的去商品化。……做一台 AI 服务器是液冷的……它是一台二三十万美元的机器，而旧服务器才五千美元。旧的坏了你扔掉就行；这玩意儿一坏，整套系统就宕。于是你变成一个'像在卖飞机上关键零件'的供应商——永远不会被换掉。」
Alex Sacerdote (Whale Rock) · How to Invest Through Technology Cycles
"A regular server, you need 10 layers. These AI servers, you need a 40-layer [PCB]. And there's very few PCB suppliers that can make this."
「普通服务器需要 10 层 PCB，这些 AI 服务器需要 40 层。而能做 40 层的 PCB 供应商极少。」
Alex Sacerdote (Whale Rock) · How to Invest Through Technology Cycles

但他给 S-curve 乐观派加了一条冷水——光在好赛道里不够：

"If you do not have a competitive advantage, you can be in the best S-curve of all time, but you are still out."
「如果你没有竞争优势，哪怕你身处史上最好的 S 曲线，你照样出局。」
Alex Sacerdote (Whale Rock) · How to Invest Through Technology Cycles

历史对照 · "前 17 年每年 1%，最后三年 83%"——Kopelman 的警钟

Josh Kopelman 提供了一个让所有"这次不一样"叙事冷静的历史数据：

"1% a year for the first 17 years, 83% in the last three. And why is that important? Because the last three, it was universally acknowledged, we're in a bubble. … If you had said 'we're in a bubble, I want to sell and exit now,' you would have given up 83% of your profit."
「前 17 年每年 1%，最后三年占 83%。为什么这重要？因为最后那三年，所有人都公认我们身处泡沫。……如果你当时说'我们在泡沫里，我要现在卖出退场'，你就放弃了 83% 的利润。」
Josh Kopelman (First Round) · How To Make Money in Venture

这句话的双刃：它既说明"泡沫期也能赚最多钱"，也说明"被普遍认为是泡沫"和"利润最高"可以同时成立——这恰恰是当下最难拆的结。

都没说透的

我的看法

判断（不是事实）："是不是泡沫"是个被问错的问题——几乎所有人都同意底层需求是真的（Jevons + API calls + 预算重配），分歧只在"过度建设的风险压在哪张资产负债表上"。读完逐字稿，我对风险点的判断比上一版更具体了：Cahn 给了一条清晰的传递链（微软/亚马逊退场 → Oracle/CoreWeave 顶上 → 芯片公司用循环融资兜底），而最脆弱的，是这条链下游那些用别人的需求承诺给自己资本开支做背书的中间层。Cahn 自己说真瓦解会是"股权式"的——我半同意：广义的股价回撤确实会先到（标普 40% 押 AI），但第一个真正爆掉的会是那些把循环融资伪装成股权、且签了 take-or-pay 的玩家（Oracle 是显眼样本）。所以最该盯的单一指标不是 gigawatt 也不是股价，是hyperscaler / neocloud 的 capex 承诺 vs 实际 API 调用增长之间的缺口——这两条曲线背离的那一刻就是警报。

把握程度：中等。最强支撑是 Jevons + "需求只受算力限制"这条跨多个独立信源的共识，以及 Cahn 那条有名有姓的风险传递链；最弱的是"下游中间层先爆"——这是我把 Cahn 的脆弱性观察 + 循环融资 + Oracle 负债外推出来的判断，需要更多关于这些中间层合同结构的数据。

还想知道什么

取材

核心 7 篇本轮按逐字稿全文重读、所有引用逐字稿核对：

其余 alias 命中、关联较弱或本轮未引用：Alfred Lin、Mercor/Foody、Sam Altman×Collison、Anish Acharya、Hidden Economics、两期 Coatue $70B、Epoch AI、Atlassian、Ben Horowitz、Redpoint 等。后续 headless 全量重综会自动纳入全文。

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