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The Founder's Notes

Case 12 · Technology · From The Strat, episode 12

NASDAQ: GOOGL

Google

Runs an auction on human intent roughly nine billion times a day, and pays tens of billions annually to make sure the intent arrives at its box rather than someone else's.

Founded
1998
Founders
Larry Page, Sergey Brin
Headquarters
Mountain View, California
Moat
Contested · Distribution

Google earns four cents when you ask it something badly, and nothing at all when you ask it well.

Listen first — The Strat 12 · 13 min

Give away the best product on the internet, and charge whoever wants to stand next to the answer.

Notes on the episode

Revenue

$350B

2024

Revenue per search

≈ $0.04

Approximately, on roughly five trillion queries

Paid to Apple for default placement

>$20B/yr

Estimated. Roughly a fifth of Apple's Services revenue.

Price paid for Android

~$50M

2005

Net cash

~$85B

Cash and securities less long-term debt, end 2024

§01The business model

Alphabet did approximately $350B of revenue in 2024 and about 76% of it was advertising. The mechanism underneath is narrower than that number implies: a user types a query with commercial intent, Google runs a real-time auction among advertisers for placement against it, and the winner pays only if the user clicks. Google's cost of serving that query is a fraction of a cent. The advertiser's willingness to pay is set by how close the query sits to a transaction — "personal injury lawyer" clears above $100 a click, "weather" clears at nothing.

Divide the arithmetic out. Search and other advertising was roughly $198B in 2024 against something on the order of five trillion queries. That is approximately four cents of revenue per search on average, and it is one of the most profitable four cents in commerce because the marginal cost is nearly zero and the inventory refreshes every time a person is curious.

The segments beyond search matter differently. YouTube advertising was about $36B — a second ad business with worse targeting but far better duration. Subscriptions, platforms and devices reached roughly $40B and is the fastest-growing consumer line, mostly YouTube Premium, YouTube TV and Google One. Network — ads Google sells on other people's websites — was about $30B and is shrinking, because the open web that business monetises is itself shrinking. Google Cloud did roughly $43B with about $6.1B of operating income, its first genuinely profitable year. Other Bets did $1.6B of revenue against a $4.4B operating loss, and is best read as a portfolio of options in which Waymo is the only one currently worth pricing.

Where the revenue comes from

Google Search & other

~57%

Approximately $198B in 2024. An auction on intent. The highest-margin revenue line in the public markets.

YouTube advertising

~10%

Approximately $36B. Weaker intent than search, far more attention, and the only credible competitor to broadcast television for reach.

Subscriptions, platforms & devices

~12%

Approximately $40B. YouTube Premium and TV, Google One, Pixel, Play Store commission. Growing above 20%.

Google Network

~9%

Approximately $30B and declining. Google's cut of ads placed on third-party sites — a business tied to the health of the open web.

Google Cloud

~12%

Approximately $43B with ~$6.1B operating income. Profitable at last, and the AI capex justification.

Other Bets

<1%

$1.6B revenue, $4.4B operating loss. Waymo is the entire value here; the rest is tuition.

Unit economics — One commercial search query versus one AI conversation

Search: average revenue per query≈ $0.04
Search: marginal serving cost< $0.002
Search: gross margin per query> 95%
AI answer: current revenue per response≈ $0.00–0.01
AI answer: inference cost per response≈ $0.005–0.05
AI answer: contribution marginNegative to thin

Every query Google successfully converts into a conversation costs it more to serve and earns it less. This is the only sentence in the case that matters, and Google is spending $75B a year to accelerate the migration because the alternative is someone else owning the conversation.

§02The moat

Contested moatDistributionNetwork effectsScale economicsSwitching costs

Google's moat is usually described as the search index or the algorithm. Both are real and neither is the binding constraint. The binding constraint is default placement.

Google pays for it. In 2022 the company paid an estimated $26B in traffic acquisition costs to be the default search engine across browsers and devices, of which something above $20B went to Apple for Safari. Add Chrome, which Google owns outright at roughly 65% browser share, and Android, which it acquired in 2005 for about $50M and now runs on the large majority of the world's smartphones. Google does not merely win the search market. It buys and owns the doors.

A judge has now said so. In August 2024 Judge Amit Mehta ruled that Google unlawfully maintained a monopoly in general search, specifically through those exclusive default agreements. The September 2025 remedies decision declined to order divestiture of Chrome or Android, and — critically — allowed the payments to continue on a non-exclusive basis while requiring some search and syndication data sharing with qualified competitors. That outcome was far better for Google than feared, and it left the economic mechanism intact.

The second moat layer is a genuine data feedback loop: more queries produce more click and refinement data, which produce better ranking, which produce more queries. The third is now silicon. Google has designed its own TPUs since 2015 and is the only hyperscaler training frontier models predominantly on hardware it controls, which gives it a structurally lower cost per token than competitors paying Nvidia's margin.

I call the moat contested rather than wide for one reason. All three layers protect a query box, and a meaningful share of the questions people used to type into a query box are now typed into a chat window instead.

Porter's five forces — 5 ticks means the force is squeezing hard

Competitive rivalry

For the first time since 2004 there is a credible alternative interface. OpenAI, Anthropic and Perplexity are not taking search market share in the classical measure, but they are taking the high-value informational queries — the ones people used to run three or four searches to resolve.

Threat of new entrants

Historically 1: crawling and indexing the web cost billions and nobody could justify it. A language model changes the entry cost of answering a question, and the entrants are extremely well capitalised.

Threat of substitutes

The sharpest force on this page. A conversational answer substitutes for a search result, monetises far worse today, and costs more to produce. Google must migrate to it regardless, because refusing is worse.

Buyer power

Advertisers have no real alternative for intent-based demand capture at scale; Meta sells interruption, not intent. The auction structure means Google captures most of the surplus automatically.

Supplier power

Apple holds genuine leverage as the owner of the most valuable default, and takes over $20B a year for it. Nvidia's leverage is partially neutralised by Google's own TPU programme — the only hyperscaler that can credibly say that.

§03The financials

Revenue quality

Excellent and unusually diversified for an advertising business — millions of advertisers, no meaningful customer concentration, and revenue that is recognised on performance rather than commitment. The weakness is surface concentration rather than customer concentration: a very large share of profit depends on one interface, the search results page, remaining the place people go with a question.

Margin structure

Operating margin reached approximately 32% in 2024 on about $112B of operating income, helped by a genuine cost reset — headcount was cut roughly 6% in 2023 and has been held broadly flat since. Search gross margins are extraordinary; Cloud has only recently crossed into profit at a low-teens operating margin; Other Bets loses about $4.4B a year and is disclosed separately so investors can price it as an option.

Cash generation

Operating cash flow above $125B. The question is what happens to it. Capital expenditure was approximately $52.5B in 2024 and guided to roughly $75–85B in 2025, essentially all of it AI data centres and TPUs. Free cash flow is therefore being converted into depreciable infrastructure at a rate the company has never previously attempted.

Balance sheet

Roughly $96B of cash and marketable securities against about $11B of long-term debt at the end of 2024 — one of the cleanest balance sheets of any large enterprise, and the reason Alphabet can fund the capex cycle entirely from operations while still buying back stock.

Revenue

$350.0B

2024, up 14% year over year

FY2024

Google Search & other

$198.1B

~57% of revenue and the large majority of profit

FY2024

YouTube ads

$36.1B

Excludes YouTube subscription revenue, booked elsewhere

FY2024

Google Cloud

$43.2B

$6.1B operating income — first materially profitable year

FY2024

Operating income

$112.4B

~32% margin

FY2024

Net income

~$100.1B

FY2024

Capital expenditure

$52.5B

Guided to approximately $75–85B for 2025

FY2024

Other Bets operating loss

-$4.4B

On $1.6B of revenue. Waymo is the reason to tolerate it.

FY2024

§04The valuation

P/E (trailing)

~25x

The cheapest of the large US technology platforms for most of 2024–25, on regulatory and disruption fear

Late 2025

EV / EBITDA

~17x

Free cash flow yield

~2.5%

Understated — capex is running well above maintenance need

Implied value of Other Bets

≈ $0

Waymo is broadly not in the price. Third-party rounds have valued it in the tens of billions.

Peer P/E — Microsoft

~33x

Slower advertising exposure, higher perceived AI position

What has to be true to justify the price

  1. 01AI Overviews and Gemini monetise at a rate approaching — not matching — the classic blue-link result. Google has stated monetisation is roughly comparable on AI Overview queries; that claim needs to survive two more years of mix shift before it can be trusted.
  2. 02The remedies from United States v. Google survive appeal in roughly their current form, meaning Google may keep paying for default placement provided it is non-exclusive.
  3. 03Cloud operating margin climbs toward 20%+ as the AI infrastructure it just bought fills up. If it does not, the $75B+ of annual capex is a return-destroying commitment.
  4. 04The TPU cost advantage is real and durable, giving Google a lower cost per token than any competitor renting Nvidia capacity.
  5. 05The open-web Network business, declining at a high single-digit rate, does not accelerate downward fast enough to matter. It is roughly 9% of revenue and a much smaller share of profit.

Run it yourself

Move the growth rate and the margin and watch the implied value move. Same inputs, live.

Open the playground

§05Capital allocation

The two decisions that made Alphabet were both distribution purchases, not product decisions. Buying Android in 2005 for approximately $50M is the highest-return acquisition in corporate history by any sane measure — it bought Google the operating system on the majority of the world's phones and pre-empted a future where Microsoft or Apple controlled every mobile default. Buying YouTube in 2006 for $1.65B, then widely considered an overpay for a copyright liability, produced a business now generating over $36B of advertising revenue plus subscription income.

Almost everything after that is a weaker record. Motorola was bought for $12.5B in 2011 and sold to Lenovo for $2.9B three years later, with Google keeping the patents — an expensive way to buy litigation insurance. Nest, Fitbit and the hardware programme generally have not produced a franchise. Other Bets has absorbed something in the order of $30B+ of cumulative losses, of which Waymo may eventually justify a large portion and the rest almost certainly will not.

The current allocation question dwarfs all of it. Alphabet is committing $75–85B a year to AI infrastructure — more than the entire market capitalisation of most S&P 500 constituents — to defend a business that the same infrastructure is helping to disrupt. It is simultaneously buying back roughly $60B+ of stock a year and, since 2024, paying a dividend. Doing all three at once is only possible because search generates cash faster than management can find uses for it. That will not always be true.

Android

~$50M in 2005

The best acquisition ever made by anyone. It bought the default on billions of devices.

YouTube

$1.65B in 2006

>$36B of annual ad revenue plus subscriptions. Called an overpay at the time.

Motorola

Bought $12.5B, sold $2.9B

Patents retained. Still a poor trade.

Other Bets

-$4.4B/yr

Waymo is a genuine option; the rest is an expensive habit

Buybacks

~$60B+/yr

Meaningful share-count reduction, funded entirely from operations

Dividend

Initiated 2024

The signal that Alphabet now considers itself mature

§06The thesis

Own it

The bear case on Alphabet is correct about the mechanism and probably wrong about the timing and the ending. It is correct that Google monetises a query far better than it monetises a conversation, and that it is being pushed onto the worse-monetising surface by competitors it did not choose to face. That is a real, structural, non-cosmetic problem and it is why the stock traded at a discount to every large-cap technology peer through 2024 and 2025.

What the bear case underweights is that Google is the only participant in this fight that owns all four layers at once: the model, the chips it trains on, the browser, and the phone operating system. OpenAI rents its compute and has no distribution it did not have to buy. Apple has distribution and no model. Microsoft has enterprise distribution and rents both its model relationship and its silicon. Google is uniquely positioned to lose the argument on quality for a while and still win on placement — which is precisely how it beat every technically superior search product of the 2000s.

At roughly 25 times earnings with Waymo valued at approximately zero and a balance sheet holding $96B of net cash, the market is asking to be paid for a disruption that has so far reduced Google's search revenue growth rate by exactly nothing. Search advertising grew double digits in 2024, two years into the ChatGPT era. Own it, and watch one number.

What would change my mind

If Google Search & other revenue growth falls below 5% year over year for two consecutive quarters while search query volume is still growing, the migration to conversational interfaces is destroying monetisation per query and the core business is impaired regardless of engagement. Falling revenue with falling queries would be a share problem, which is fixable. Falling revenue on rising queries is a business-model problem, which is not.

§07How it happened

  1. 1998

    PageRank, and a company nobody wanted

    Page and Brin rank pages by who links to them rather than by keyword density. In 1999 they reportedly try to sell the company to Excite for around $750,000 and are turned down. The offer being refused is the reason Alphabet exists.

  2. 2000

    AdWords, and the auctionThe fork

    Google adopts a pay-per-click auction — later a second-price auction ranked by bid multiplied by expected click-through. This does two things at once: it makes advertisers bid against each other on Google's behalf, and it aligns ad quality with revenue, because a bad ad nobody clicks earns Google nothing. It is the single best-designed monetisation system in commercial history.

  3. 2005

    Buying Android for about $50MThe fork

    Google buys a 22-month-old startup building an operating system for cameras, then phones. Schmidt's stated logic was defensive: if Microsoft or Apple owned the mobile OS, they would own the default search box, and Google would be renting access to its own users. Two years before the iPhone shipped, Google bought the insurance policy on its entire business for the cost of a mid-size office building.

  4. 2006

    YouTube for $1.65B

    Widely described at the time as buying a copyright lawsuit. Google's own Google Video was losing. Rather than defend a product, it bought the audience — and then spent a decade building the rights infrastructure, Content ID, that turned the liability into a licensing business.

  5. 2015

    Alphabet, and the first TPU

    The holding-company restructure lets Page and Brin step back and forces the moonshots into a separate P&L investors can see and price. In the same period Google deploys its first tensor processing unit internally — a bet on custom silicon that looks unremarkable until 2023, when it becomes the reason Google's cost per token undercuts everyone renting Nvidia.

  6. 2017

    Attention Is All You Need

    Eight Google researchers publish the transformer architecture, and Google publishes it openly. Every frontier language model since, including the ones now attacking Google's core business, is built on it. Six of the eight authors left to found or join competitors. Publishing it was probably right for the field and unambiguously costly for the company.

  7. 2023

    Code redThe fork

    ChatGPT reaches 100 million users faster than any consumer product recorded. Google, which had comparable technology internally and declined to ship it for reputational and cannibalisation reasons, declares an internal emergency, recalls Page and Brin for advice, and rushes Bard out to a poor reception. The lesson is exact: Google refused to cannibalise its own search result, and a competitor did it instead.

  8. 2025

    The remedy, and the migration

    Judge Mehta declines to order divestiture of Chrome or Android, permits Google to keep paying for default placement so long as the deals are non-exclusive, and requires limited data sharing with rivals. Google keeps its distribution. It now has to prove it can earn as much from an AI Overview as it once earned from ten blue links — while spending upward of $75B a year to find out.

§08Around this case