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The Google Capital Company

Ch01.004 The Google Capital Company

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The Google Capital Company

概述

Newsletter 评分 7×7=49，stars=4，来源 URL: https://stratechery.com/2026/the-google-capital-company/

正文要点

Published Time: 2026-06-02T10:00:00+00:00

Markdown Content: Listen to this post:

What does the most beautiful business model of all time look like?

First, imagine that your supply is free. Second, imagine that your customers willfully compete against each other to raise your prices. Third, imagine that your users decide which of your customers gets the privilege of paying you. All you have to do is build a bit of infrastructure to make it all happen, pay a nominal bit of depreciation on that infrastructure, and make billions of dollars on some of the greatest margins in the history of business.

I am, of course, describing Google, a company so good that Warren Buffett, the legendary investor, could never quite bring himself to invest in it. Buffett explained in the 2017 Berkshire Hathaway annual meeting:

We were their customer very early on with GEICO, for example, and we saw — these figures are way out of date — but as I remember, we were paying them $10 or $11 a click, or something like that. And any time you're paying somebody $10 or $11 bucks every time somebody just punches a little thing where you got no cost at all, you know, that's a good business unless somebody's going to take it away from you. And so we were close up seeing the impact of that…But, you know, you've almost never seen a business like it.

One of the characteristics of an Aggregator like Google is the way in which they maximize absolute value at the expense of relative value. For supply — i.e. content on the web — Google dramatically increases the number of visitors, even as the value of any one visitor who comes from Google is worth much less than a visitor who visits directly; for an advertiser, the value of one click makes up for thousands of impressions of an ad that make no difference; for a user, Google helps them discover what they are looking for amidst the overwhelming abundance that is downstream from distribution being free. In every case the Aggregator increases quantity at the expense of relative quality, confident that the absolute amount of quality will be more in the long run.

What is interesting is that this is the exact inverse in terms of why these companies have been valued by investors. The best tech companies are "asset-light", predicated on maximizing zero marginal costs. Yes, they spend a lot of money on R&D and on the infrastructure to make markets happen, but they don't actually participate in those markets; simply taking a skim and keeping the vast majority of that skim is what gets Wall Street excited. In other words, it was the relative amount of money made that was generally more important to the market than the absolute amount of money.

Berkshire Hathaway and Productive Capital

Berkshire Hathaway was, before Buffett acquired it, a failing textile business; Buffett originally invested because the stock was worth less than the liquidation value, and ended up owning it outright after a dispute with management. It was a decision he regretted; from the company's 1989 letter to shareholders:

If you buy a stock at a sufficiently low price, there will usually be some hiccup in the fortunes of the business that gives you a chance to unload at a decent profit, even though the long-term performance of the business may be terrible…Time is the friend of the wonderful business, the enemy of the mediocre…

I could give you other personal examples of "bargain-purchase" folly but I'm sure you get the picture: It's far better to buy a wonderful company at a fair price than a fair company at a wonderful price. Charlie understood this early; I was a slow learner. But now, when buying companies or common stocks, we look for first-class businesses accompanied by first-class managements.

One of the first-class businesses Berkshire Hathaway acquired was See's Candies in 1972. Buffett explained in the 2007 shareholder letter:

We bought See's for $25 million when its sales were $30 million and pre-tax earnings were less than $5 million. The capital then required to conduct the business was $8 million. (Modest seasonal debt was also needed for a few months each year.) Consequently, the company was earning 60% pre-tax on invested capital…

Last year See's sales were $383 million, and pre-tax profits were $82 million. The capital now required to run the business is $40 million. This means we have had to reinvest only $32 million since 1972 to handle the modest physical growth – and somewhat immodest financial growth – of the business. In the meantime pre-tax earnings have totaled $1.35 billion. All of that, except for the $32 million, has been sent to Berkshire (or, in the early years, to Blue Chip).

The "problem" with a See's Candies is that there is nothing to be done with all of that profit; if it's privately held then its owners end up with more cash than they know what to do with, and if it's public, then the job is to figure out how to return that cash to shareholders through some combination of dividends and stock buybacks. What Berkshire Hathaway did, however, was use that cash to grow:

After paying corporate taxes on the profits, we have used the rest to buy other attractive businesses. Just as Adam and Eve kick-started an activity that led to six billion humans, See's has given birth to multiple new streams of cash for us. (The biblical command to "be fruitful and multiply" is one we take seriously at Berkshire.)

One of the businesses Berkshire Hathaway used the See's profits for was on the opposite end of the spectrum in terms of capital utilization: BNSF Railway. Railways require a lot of capital to operate; BNSF consumed $3.8 billion last year; they also make a lot of money: BNSF's net income was $5.5 billion on revenue of $23.4 billion. To put that in perspective, the total amount that Berkshire Hathaway has made from See's Candies is probably less than $3 billion (the last disclosure was "over $2 billion" in 2019), i.e. less than BNSF made last year.

So which is the better business?

Google Cloud's Runway

In Q4 2019, the first year that Alphabet disclosed Google Cloud revenue, Google Services — the high margin beautiful business I described at the beginning — made $43.2 billion in revenue and $13.5 billion in operating profit; Google Cloud made $2.6 billion in revenue and lost $1.2 billion. Google Cloud revenue was 6% the size of Google Services.

In Q1 2023, Google Cloud made a profit for the first time. In that quarter Google Services made $62.0 billion in revenue and $21.7 billion in profit; Google Cloud made $7.5 billion in revenue and $0.2 billion in profit. Google Cloud revenue was 12% the size of Google Services, and its profit was 1% the size of Google Services.

In Q1 2026, Google Services made $89.6 billion in revenue and $40.6 billion in profit; Google Cloud made $20.0 billion in revenue and $6.6 billion in profit. Google Cloud revenue was 22% the size of Google Services, and its profit was 16% the size of Google Services.

Google Services is, needless to say, a much more scalable business than See's Candies. The growth just over the last seven years — more than doubling revenue and tripling profits — is astounding. And yet, at the same time, Google Cloud is growing faster, and while its margins are worse — 33% last quarter as compared to 45% for Google Services — they are expanding more rapidly.

The bigger question is how big can those numbers go? Google Services' advertising business is inherently high margin, but advertising is definitionally but a fraction of the overall economy; Google Cloud's growth, meanwhile, is AI, which many people think/worry/hope might take over the entire economy. In other words, might we one day look back and realize that Google Services provided the cash flow to build a business with relatively worse margins but absolutely higher dollars, much like See's helped fund BNSF?

Berkshire Hathaway and Google Equity

The context for this discussion is this news from Bloomberg:

Google parent Alphabet Inc. is raising $80 billion through a package of equity offerings, including an investment deal with Berkshire Hathaway Inc., as the company races to fund its ambitious artificial intelligence spending plans. The undertaking includes a $40 billion so-called at-the-market program to sell shares from time to time beginning in the third quarter, according to a statement Monday. The company will also offer $30 billion in underwritten offerings of shares and mandatory convertible preferred stock, as well as the $10 billion deal with Berkshire. Together, the transactions represent one of the largest equity deals of all time — and they bring an unexpected twist to a blockbuster year for initial public offerings.

First off, a decent portion of the ATM program, launching in the fall, is going towards paying tax obligations on Google equity awards (which are quite large thanks to the stock's run-up in value).

That leaves equity being issued now, particularly the $10 billion to Berkshire Hathaway, which is fascinating for a number of reasons. The first question is why did Google issue equity instead of debt? Debt is, all things being equal, the preferred instrument for investment: the proceeds of the latter pay off the former, and existing equity holders reap all of the benefits. Equity, on the other hand, removes the risk of debt, but at the cost of giving up a share of future profits.

Google has to date funded its massive AI-related capital expenditures with free cash flow, and while the company does have around $81 billion in debt, that is more than balanced by $126 billion of cash. In other words, Google is issuing equity — diluting existing shareholders — not because it needs to, but because it wants to share the risk of AI infrastructure investment with Berkshire Hathaway.

深度分析

1. Google Aggregator 模式：绝对价值优先于相对价值

Google 作为超级 Aggregator 的核心策略是系统性压低所有参与方的相对价值，同时提升整体绝对值。对内容供应方，Google 大幅增加访客数量但单个 Google 访客价值远低于直接访问；对广告主，一次点击抵消了千万次无效展示；对用户，Google 在信息过载中帮助发现目标。这种"以量换质"使 Google 成为历史上边际成本最低、利润率最高的商业系统之一。Buffett 作为广告主亲眼目睹"每次点击 $10-11 美元、无任何边际成本"后称之为"almost never seen a business like it"——这正是 Google 无需向投资者解释盈利模式的核心原因。

2. "See's→BNSF"范式重现：Google Services 养 Google Cloud

See's Candies 以 $800 万资本赚取 60% 税前回报、产生大量自由现金但无法在糖果行业规模化再投资，最终被用于投资重资本 BNSF 铁路。Google Services 正是 2026 年的 See's——利润率 45%、7 年内利润翻三倍；而 Google Cloud 就是 BNSF。关键数据：Q1 2026 Google Services 利润率 45%、Google Cloud 33%；但后者的收入占比从 2019 年的 6% 增长到 22%、利润占比从 <1% 到 16%。Stratechery 的隐含设问是：如果 AI 将成为整个经济的基础设施，Google Cloud 的绝对美元利润最终可能超过 Google Services——这将是史上最大规模的"高利润率业务孵化高绝对值业务"案例。

3. $80B 股权融资：风险共担而非财务需求

Google 手握 $1260 亿现金却选择股权融资，核心目的是将 Berkshire Hathaway 变为 AI 基础设施投资的共担方。$400 亿 ATM 主要用于股权激励税务，$300 亿包销增发和 $100 亿 Berkshire 投资才是战略棋步。$100 亿 Berkshire 投资尤为关键：这代表 Buffett 罕见地直接投资科技公司、主动承担 AI 基础设施风险。Buffett 选择与 Google 共担 AI 资本开支风险，本身就是对 Google AI 护城河的无声背书——这种品牌背书的价值远超 $100 亿本身。

4. 从"经济的一部分"到"整个经济"：规模天花板的根本差异

广告市场受限于企业营销预算占比（通常为收入的 1-3%），而 AI 基础设施的 TAM 理论上没有上限——若 AI 渗透每个行业和流程，Google Cloud 的市场规模将是广告市场的数十倍。这对估值框架有深远影响：一旦市场接受 Google 是"用广告现金流孵化 AI 基础设施的资本配置公司"，其估值将从 P/E 倍数向"运营利润 × 资本配置效率"的复合框架迁移，类似于 Berkshire 的估值逻辑。Alphabet 的长期价值不再仅仅由广告利润率决定，而由"广告+云+AI"三业务的整体资本配置效率决定。

实践启示

1. 识别现金牛业务的再投资天花板

See's 的案例说明，识别"产生超额现金但无法在本业务内规模化再投资"的业务单元，是找到 BNSF 类机会的关键信号。对科技公司的实践意义：持续评估核心业务现金的闲置程度和再投资方向。资本配置效率而非利润率，才是衡量伟大公司的终极指标——See's 的 60% ROIC 固然漂亮，但无法在糖果行业内部消化 $1.35 亿盈利才是驱动 Berkshire 寻找 BNSF 的根本原因。

2. 高不确定性项目优先引入战略投资者共担风险

Google 接受 Berkshire $100 亿投资的核心目的不是钱，而是风险共担和品牌背书。评估融资选项时，应将"投资人带来的非财务价值"（行业认可、风险分担、人才吸引信号）与财务成本置于同等位置。对于 AI 基础设施这类高不确定性大项目，引入顶级战略投资者意味着"有人与你共同承担最坏情景的风险"——这本身就是护城河的一部分，且无法通过债务融资实现。

3. 从"经济的一部分"向"整个经济"延伸的战略路径

对已有核心业务的公司，战略地图是：第一步在细分市场建立垄断优势；第二步用细分市场现金流投资到 TAM 更大的"整体经济"赛道；第三步在新赛道以"被验证商业模式+充沛现金"碾压从零开始的竞争对手。Google Cloud 的成功概率因此高于从零开始的纯云厂商，因为它的起点是已有 $400 亿利润的广告业务。这提示：评估任何新业务的竞争优势时，起点资源禀赋（充沛现金+已有客户关系）往往比从零开始的纯粹创新更重要。

4. 警惕 Aggregator 的隐形脆弱性：用户信任是终极护城河

Stratechery 将 Google 描述为"most beautiful business model of all time"，但这个模型的根基是用户对 Google 作为信息发现入口的信任。AI 时代 Google 面临的最大风险不是 AWS/Azure 的竞争，而是用户是否会绕过 Google 直接与 AI 应用交互。这一风险无法通过资本配置解决，只能通过持续的产品信任投资来应对。对所有依赖用户信任的平台公司而言：最脆弱的护城河往往不是技术壁垒或规模优势，而是用户信任本身——而信任一旦被侵蚀，Aggregator 的网络效应将在没有信任基础的情况下快速瓦解。

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