Vertical integration is a business model in which a company owns more of the steps between raw inputs and the customer, instead of buying them from suppliers or selling through others. It does so to control cost, quality or supply, and to keep the margin that would otherwise go to the companies at each step.
StrengthenedAI strengthens it: the cost of computing decides the margin on AI, so a company that makes its own chips and runs its own models keeps margin that others pay away to suppliers.
How it makes money
Every link in a supply chain takes a margin. Vertical integration is the decision to own more of the links yourself: make the part instead of buying it, sell to the customer instead of through a distributor. It costs more up front and ties up capital, but it lets the owner control the cost, the quality and the supply, and keep the margins that would have gone to others.
AI makes the case for it unusually strong. The biggest cost in running AI is computing power, and the chips that provide it are scarce and expensive. A company that designs its own chips, builds its own models and runs them in its own products has a cost base that its rivals, buying chips from a supplier, cannot match.
The full stack
Alphabet describes its AI strategy in exactly these terms. "We aim to build the most advanced, safe, and responsible AI through our full-stack approach, which spans AI-optimized infrastructure; world-class research, including models and tooling; and our products and platforms that bring AI to billions of people, developers, and enterprises."
The bottom layer is its own silicon. Its infrastructure offers customers GPUs bought from suppliers and "our own custom-built Tensor Processing Units (TPUs), such as Ironwood, our seventh-generation TPU." That infrastructure, the 10-K says, is "a key differentiator enabling us to power our own products, such as Search and YouTube, and support the services we provide to our Google Cloud customers."
Selling the layer underneath
An integrated company can also sell a layer it built for itself. Alphabet now sells TPU systems to enterprise customers; its Google Cloud product sales "generally consist of the sale of TPU systems comprising hardware, software, installation, support, and extended warranty services."
In the quarter ended September 30, 2026, Google Cloud revenue was $30.7 billion, against $15.2 billion a year earlier, up 103%. The company attributes the increase of $15.6 billion to Google Cloud Platform, "largely from infrastructure and platform services, and TPU system sales." Google Cloud operating income rose to $11.1 billion from $3.6 billion, and its revenue backlog stood at $560.8 billion.
How it fails
Vertical integration fails when the in-house layer falls behind the market. A company that makes its own chips is committed to them; if a supplier's chips get better faster, the integrated company is stuck with a slower, costlier part and the capital it sank into making it. Integration also strains when the internal customer and the outside customers want the same scarce capacity at the same time.
Our read
In most industries, vertical integration is a trade-off: control in exchange for focus. In AI it looks more like a requirement for anyone who wants to compete at the frontier on cost. The margin on AI is decided at the bottom of the stack, in the price of computing, and the company that owns that layer can price the layers above it more freely.
Alphabet's move to sell its chips shows the second advantage. A layer built for internal use becomes a product of its own, and the outside sales help pay for the next generation. For most companies the lesson runs the other way: owning the full stack is out of reach, so the question is which layer you can own that the integrated giants cannot squeeze, and which layer you are renting from someone who is also your competitor.
Questions
- What is vertical integration?
- A company owns more of the steps between raw inputs and the customer, instead of buying from suppliers or selling through others, to control cost, quality or supply and keep the margins at each step.
- What does a full-stack approach to AI mean?
- Owning each layer of AI, from chips and data centers to models and the products people use. Alphabet describes its approach as full-stack, from its own TPU chips to Search and YouTube.
- Does Google sell its TPU chips?
- Yes. Alphabet's quarterly report says Google Cloud product sales consist mainly of TPU systems sold to enterprise customers, and it names TPU system sales among the drivers of Google Cloud's growth in the quarter ended September 30, 2026.
Sources
- Alphabet Inc. (SEC EDGAR), Form 10-K for 2025 (2026-02-05)
- Alphabet Inc. (SEC EDGAR), Form 10-Q for the quarter ended September 30, 2026 (2026-10-29)
Every figure and quotation on this page traces to these filings. “Our read” is Stratrix’s judgment, drawn from them. Analysis and data, not advice.
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