The Great Expansion

Across Alphabet, Amazon, Microsoft and Meta, annual cash purchases of property and equipment increased from $64.113 billion in FY2018 to $357.508 billion in FY2025. The endpoint is about 5.6 times the starting value. This is a substantial commitment of resources, measured in completed company accounts rather than by adding announcements of future spending.

The annual path matters as much as the endpoints. The cohort total fell from $150.447 billion in FY2022 to $140.353 billion in FY2023, before the subsequent rise. A story of uninterrupted acceleration would erase that reversal. Nor does the aggregate describe four identical businesses: Amazon's physical assets support retail and logistics as well as cloud computing, while the other firms have different operating structures.

A capital-expenditure account answers a narrower question than a corporate map. It records payments for physical assets. It does not tell us whether a particular server supports AI, which production stage moved under common ownership, or who contracts with the final customer. Cash purchases also omit some assets acquired through financing arrangements. Mixing them with lease-inclusive headlines would change the accounting definition in the middle of the comparison.

The clock has a boundary too. Microsoft's fiscal year ends in June; the three peers end in December. These are nominal, consolidated-company amounts, including international and non-AI operations. Their sum is a useful fiscal-year cohort comparison, not a synchronized calendar-year measure of global AI investment.

The spending increase establishes capacity and commitment. To infer a larger firm boundary, we need an additional argument: why should owning the next activity outperform buying its output from someone else? That is a question about governance, not simply about scale.

Coase's starting point is straightforward: using a market is not free. Finding a supplier, explaining the task, negotiating terms, checking quality and adapting to surprises all consume resources. A firm replaces some of those transactions with managerial direction. It does not make coordination disappear. Managers must still allocate attention, transmit knowledge, motivate people and correct mistakes.

A firm boundary is the point at which an activity is organized under common ownership rather than obtained through a market relationship. The relevant comparison is the full cost of delivering a specified result under each arrangement. A supplier's price is only one component; internal production cost is only another. Verification, delivery risk, adaptation and incremental fixed costs belong in the comparison as well.

Consider the teaching model below. Its inputs are arbitrary cost units per equivalent project, not estimates for any company. Internal production starts at 60 units, internal coordination at 30, verification at 10 and expected delivery or liability cost at 10. Integration overhead is a separate assumption. The market alternative has a purchase price of 70, contracting cost of 25, verification cost of 10, expected failure cost of 5 and fixed cost of 5.

With overhead set to 10, a 40% reduction in internal coordination cost lowers the internal total to 108, compared with 115 for the unchanged market alternative. The one-sided story therefore favors making the output inside the firm. Now let market contracting costs fall by 40% as well. The market total becomes 105 while the internal total remains 108. The preferred arrangement reverses, although the firm has become more efficient.

The lesson is the comparison, not the chosen numbers. Lower internal costs do not determine the direction of the boundary unless we know what happened to the external alternative. Reducing integration overhead can reverse the result again. In practice, AI may also alter production quality, verification needs, failure risk and capacity constraints; this small model holds those other components at the assumptions shown.

This is why general technical capability does not, by itself, predict a new conglomerate. A reusable model may lower the cost of entering another activity, but an API can make a similar capability available to an independent entrant. Ownership needs an additional advantage: difficult-to-contract adaptation, specific assets, privileged information, a scarce complement or a durable quality benefit from common control.

The financial panel cannot supply the unobserved costs in that teaching model. It can answer a related descriptive question: did physical investment rise only because the firms grew, or did it also become larger relative to their revenue? Dividing cash property spending by the same firm's revenue separates investment scale from the size of the sales base.

For the cohort as a whole, the ratio of summed cash property spending to summed revenue rises from 11.964% in FY2018 to 22.310% in FY2025. This is a ratio of sums, not a simple average of four company percentages. It says that a larger share of the cohort's revenue was matched by that year's cash property spending under the chosen accounting definition.

A nearly vertical movement means spending changed much more than revenue over that interval. Movement along a similar origin-ray means greater scale without a comparable change in the ratio. Neither direction identifies which assets serve AI. A ratio can rise because purchases increase, because revenue grows more slowly, or through both channels.

The accounting details are therefore part of the explanation. Meta's FY2025 filing distinguishes $69.691 billion of cash property purchases from $72.215 billion including finance-lease principal. This panel uses the former. Its earlier gross purchases were also reconciled against later presentations net of disposal proceeds. Without that reconciliation, a reporting change could appear as an economic change.

A higher cash-investment ratio is evidence of a different resource commitment. It is not an ownership score. To move from the accounts to the boundary, we must identify the activity, the operating entity and the responsibility that changed hands.

Three boundaries make the distinction concrete. The production boundary concerns who creates and delivers the substantive output. The decision boundary concerns who selects the provider, routes the transaction or determines the sequence of action. The liability boundary concerns who owes a remedy or carries professional, contractual or regulatory responsibility when something fails. Ownership may connect these boundaries, but it does not make them identical.

OpenAI's Instant Checkout illustrates the separation. Its announcement retains the merchant's role in accepting orders, processing payments, fulfillment, returns and customer support. The interface can expand its influence over discovery and the transaction while the merchant remains the merchant. That can be economically important without establishing ownership of the retail business.

Amazon's completed One Medical acquisition is a different kind of event. Yet the entity structure still matters: 1Life provides administrative and management services, while affiliated physician-owned professional corporations deliver medical services. The record supports operating participation in primary care; it does not justify saying that Amazon owns the clinical practices.

The case instrument keeps 21 dated episodes across seven firms visible while you inspect the definition. Its five categories distinguish technology supply, task augmentation, intermediation, production and operating participation. These are ordered descriptions. They are neither equally spaced quantities nor a sequence that every business must follow.

The cases were chosen to make organizational contrasts inspectable. Their number and coverage differ by firm, so the display is not a league table of true corporate breadth. A firm with no qualifying selected episode under a particular rule may still have relevant activities outside this collection.

Under the strict operating-participation rule, eight episodes clearly qualify and a ninth may qualify. Isomorphic Labs' collaboration with Novartis remains bounded between direct research production and industry operation. The range records a classification question, not a statistical confidence interval.

The denominator changes when legacy and core activities are excluded. Removing nine such episodes leaves twelve selected cases, of which two to three meet the strict threshold. Tightening a definition and changing a sample are different operations. The following comparison keeps both visible.

A chip, compiler, training system and model may need repeated adjustment together. When performance depends on that co-design, a complete contract for every future contingency is difficult to write. A party that commits an asset to one relationship may also lose attractive outside options. Common ownership can reduce repeated bargaining and make coordinated adaptation easier.

This is a stronger integration argument than the observation that a technology has many applications. It identifies a problem that market exchange may solve poorly. But it still leaves a comparison to make. Long-term procurement, joint development, information rights, multi-sourcing and repeated relationships can provide safeguards without turning one party into a subsidiary.

Ownership also changes incentives. An independent specialist can retain a return on effort, serve several customers and develop knowledge that a parent cannot easily replace. Acquisition may improve coordination while weakening some of the incentives that made the specialist valuable. Grossman and Hart, and Hart and Moore, make that trade-off central to the allocation of residual control.

The FTC's study of selected cloud-AI partnerships is useful because it preserves different contractual features instead of compressing them into a single ownership score. Equity, cloud commitments, information access and consultation rights can create influence and dependence in different ways. Formal independence does not establish easy substitutability; contractual influence does not automatically establish legal integration.

The 17 selected milestones also prevent the stack from appearing to begin with generative AI. Earlier capabilities and operating relationships remain in the chronology. Their presence is evidence of precedents, not an estimate of the rate at which firms integrated before or after a particular launch.

History supplies a useful restraint. The Henry Ford's account says that the Rouge complex never had fewer than 6,000 suppliers, despite its reputation as a monument to integration. It also records the separation of steelmaking in 1981 and its sale in 1989. The example does not establish that AI resembles steel production. It shows why extensive integration and extensive external supply can coexist, and why a boundary can change again when the economic comparison changes.

Economic influence need not come from operating every industry a technology reaches. A supplier can provide a difficult-to-replace complement to many independent producers. The relevant questions then concern substitutability, access terms, switching costs and the distribution of bargaining power, rather than the number of customer businesses under common ownership.

NVIDIA offers a concrete organizational possibility. Its FY2026 filing reports $193.737 billion of Data Center revenue out of $215.938 billion in total, about 89.7%. The filing also describes a fabless, contracted-manufacturing strategy. A tightly integrated design, systems and software offering can therefore coexist with external fabrication and independent customers.

This evidence does not, by itself, establish market power. It establishes why broad downstream ownership is an inadequate prerequisite for economic scale. A narrow position in an important complement may matter more than a wide portfolio of operating subsidiaries, while technological integration can be much greater than ownership of physical production stages.

The welfare implications remain conditional. Integration can improve reliability, protect specific investment or remove duplicated markups. It can also weaken access for rivals, discourage independent innovation or concentrate operational risk. Contractual networks preserve incentives and permit specialization, but can conceal dependence in exclusivity, switching costs or control of customer access. The relevant outcomes are prices, quality, innovation, reliability and entry. Ownership breadth alone settles none of them.

Counting announcements accumulates activity by construction. A measure of active operations must also record closures, sales, suspensions and changes of scope. The difference is the familiar distinction between a flow of events and a stock at a date: new entries can be positive while exits prevent the active stock from growing.

This audit retains Stadia, Mixer and the original standalone Sora product rather than erasing their withdrawals. But their event clocks are not interchangeable. The first retained event for Stadia and Mixer is an exit announcement; for Sora, it is a launch. Drawing three equal-looking business-lifetime bars would turn different source meanings into a false comparison.

A product closure also has a scope. Ending Mixer did not mean that Microsoft withdrew from every activity in gaming or streaming. Conversely, a familiar product name does not establish uninterrupted operation through the cutoff. A defensible ownership or operating-stock panel needs stable entity identifiers, completion and operating dates, exits and a rule for renamed or successor products.

Those records are not supplied by this selected event audit. Keeping that absence visible is more useful than constructing a smooth historical expansion index from today's list of capabilities.