Alphabet and Microsoft reported the same July-to-September quarter on 28 October 2026. By our arithmetic from the two results releases, they spent almost the same share of revenue on property and equipment, 40.3% at Alphabet and 42.7% at Microsoft, yet Microsoft turned about $63 of every $100 of revenue into operating cash against about $33 at Alphabet.
Read side by side, the filings and the two earnings calls show six places where the companies are building the AI era differently. This piece pulls them together from our coverage of the night; the layer-by-layer version is in the Business Engineer premium analysis, Alphabet & Microsoft on the Map of AI.
Business Pill · Vertical Integration
An evergreen Business Engineer explainer on vertical integration. It explains the general idea only and does not discuss Alphabet or Microsoft.
The key insight: By our arithmetic from the two results releases, Alphabet and Microsoft spent almost the same share of revenue on property and equipment in the quarter, 40.3% and 42.7%, yet Microsoft turned about $63 of every $100 of revenue into operating cash against about $33 at Alphabet.
Alphabet’s release says Google Cloud generates product revenues primarily from the sale of TPU systems, its own AI chips sold as complete systems. On the call, Google Cloud chief executive Thomas Kurian said nearly 100 customers use TPUs and named Anthropic and Apple, as covered in Apple, Anthropic use Google TPUs. By our count, there are four routes to a TPU by 2027, against one in 2018 (Google TPUs head to Oracle and a $5B Blackstone venture).
Microsoft is a buyer. CNBC reported that around 75% of its $45.2 billion of quarterly capital expenditures and finance leases is tied to short-lived assets such as chips and GPUs (Microsoft ties 75% of its capex to short-lived chips). Chief financial officer Amy Hood said on the call: “Capital expenditures were $45.2 billion, as some third party capacity deliveries we expected in Q1 were delayed.”
Alphabet and Microsoft, quarter to 30 September 2026, six contrasts. Starred figures are our arithmetic from the companies’ results releases and calls; Google Cloud backlog and Microsoft’s commercial remaining performance obligation are defined differently. Sources: Alphabet and Microsoft Q3 releases, 10-Qs and earnings calls; CNBC for Microsoft’s short-lived capex share.
2. Cash: Who Funds the Build
By our arithmetic from the releases, Alphabet’s operating cash was $42,290 million on revenue of $127,577 million, and Microsoft’s $58,000 million on revenue of $92,279 million: about $33 and $63 per $100 (Microsoft turns $63 per $100 of sales into cash).
Part of Alphabet’s gap is inventory. It put $11.0 billion of cash into inventory in the first nine months of 2026, and chief financial officer Anat Ashkenazi said of how TPU system deals turn into cash: “So it’s not the traditional kind of CapEx as you’re thinking about this.” By our arithmetic, adding back that quarter’s inventory build and the $5.2 billion fine payment moves Alphabet’s third-quarter free cash flow from negative $9.1 billion to about negative $0.6 billion (Google’s $11B inventory build hit operating cash, not capex).
Alphabet’s twelve-month free cash flow fell 73% to $19.7 billion, against $60.0 billion at Microsoft by our arithmetic (Google’s 12-month free cash flow falls 73%). By our sum of its cash flow statement, Alphabet took in $147.2 billion from debt, common and preferred stock in the nine months (Alphabet raises $147B in 2026), and its filings list $0 of share repurchases in 2026 (buybacks hit $0).
Hood said Microsoft expects “to continue to remain free cash flow positive” and added: “To complement cash generated by the business and preserve financial flexibility, we will access additional sources of funding when we believe it is attractive to do so.” She put calendar-year spending at approximately $170 billion.
3. Backlog: How Much Demand Is Already Signed
Ashkenazi said Google Cloud’s backlog was $561 billion and that Alphabet had future purchase commitments of $924 billion (Google’s commitments hit $924B). Microsoft’s commercial remaining performance obligation was $677 billion, against $678 billion in June, with about $203 billion due within 12 months by our arithmetic (Microsoft backlog holds at $677B), and it reported $364.6 billion of leases signed but not yet started (Microsoft’s unstarted leases hit $365B).
By our arithmetic, Google Cloud’s backlog equals about 18.3 times its third-quarter revenue of $30.7 billion, while Microsoft’s commercial remaining performance obligation equals about 10.6 times its $63.9 billion of Microsoft Cloud revenue. The two measures are defined differently: Microsoft’s covers its commercial contracts broadly, so the ratios compare signed demand to each company’s cloud revenue rather than like for like.
Microsoft’s Devices and Consumer revenue fell 3%, with Windows OEM and devices down 22%, while Microsoft 365 commercial seats grew 5% (Microsoft consumer revenue falls 3%). Chief executive Satya Nadella said on the call: “Our business model is expanding from per-seat subscriptions to include consumption expanding our TAM and ARPU.”
In the cloud itself, Azure’s revenue lead over Google Cloud was $2.5 billion in the quarter, down from $7.2 billion a year earlier, by our arithmetic (Azure’s lead over Google Cloud shrinks to $2.5B).
5. Doctrine: What the Two Chief Executives Said
Nadella opened Microsoft’s call with three priorities: “We are focused on three things, designing AI to empower people, ensuring every organization has sovereignty over its own learning, and building trust with controls that ensure agent safety and security.”
Asked about large buyers, he said enterprise demand is “a decade-long thing, and that’s what I’ve been waiting for, as opposed to four customers who buy a lot of capacity from you, and you can show a few quarters of growth. And that’s not a business, as far as I’m concerned.” He added that Microsoft would sell to large buyers “as long as the pricing is right”, and said coding customers want model makers “to compete for your workload, not once a quarter, but for every task.”
On Alphabet’s call, Pichai said: “Our deep full-stack approach is driving momentum across the business with many opportunities ahead.” On selling TPUs to other companies he said “we view our TPU systems as an important platform we are building” and that “in the semiconductor industry, economies of scale matter” (Google sells TPUs to rivals). On trust, he said the safety work behind Google’s consumer products “will end up being a huge differentiator.”
6. Earnings: The Stakes Move the Bottom Line
Both companies carry equity stakes whose changes in value move their net income. By our arithmetic, Alphabet’s after-tax stake marks swung by $15.0 billion year on year, equal to 57% of its third-quarter net income; at Microsoft the after-tax OpenAI line swung by $3.3 billion, equal to 9% (Google’s profit with and without stake marks). Microsoft also recorded $10.0 billion of revenue from commercial arrangements with OpenAI, about 10.8% of its revenue by our arithmetic (Microsoft booked $10B from OpenAI).
As we read the filings, the gap sits in how each company funds the build: Alphabet put $11.0 billion of cash into inventory in nine months and took in $147.2 billion from debt and stock, while Hood said Microsoft expects to stay free cash flow positive.
As we read the two calls, the chief executives framed scale differently: Nadella set enterprise breadth against “four customers who buy a lot of capacity from you”, while Pichai said “we view our TPU systems as an important platform we are building”.
By our arithmetic, Google Cloud’s backlog equals about 18.3 times its quarterly revenue and Microsoft’s commercial remaining performance obligation about 10.6 times Microsoft Cloud revenue; the two measures are defined differently.
Satya Nadella, Microsoft chief executive, FY27 Q1 earnings call, 28 October 2026 (machine transcript of the webcast)
“We are focused on three things, designing AI to empower people, ensuring every organization has sovereignty over its own learning, and building trust with controls that ensure agent safety and security.”
Three Implications
FOR CHIPS Alphabet sells TPU systems and Kurian said nearly 100 customers use TPUs; CNBC reported that around 75% of Microsoft’s $45.2 billion of quarterly capital expenditures and finance leases is tied to short-lived assets such as chips.
FOR CASH By our arithmetic, Alphabet’s twelve-month free cash flow was $19.7 billion and Microsoft’s $60.0 billion; Alphabet’s filings list $0 of share repurchases in 2026.
FOR EARNINGS By our arithmetic, Alphabet’s after-tax stake marks swung by $15.0 billion, equal to 57% of its quarterly net income, against $3.3 billion, or 9%, for Microsoft’s OpenAI line.
The framework argues: “That is why the AI economy is not a list of companies racing each other.” It describes a layered industrial stack in which the binding constraint moves between layers.
The two releases of 28 October show the companies reporting from different layers of that stack: Alphabet sells TPU systems, while Microsoft’s spending on short-lived chips makes it a buyer. The framework was published before these results and does not discuss them.
What Is Not Established
Neither company reports a like-for-like measure of AI infrastructure revenue: Google Cloud includes TPU system sales, and Microsoft’s commercial remaining performance obligation covers more than its cloud. The ratios here are our arithmetic, not company metrics, and Microsoft’s call quotations come from a machine transcript of its webcast, not Microsoft’s official transcript.
Alphabet does not split its inventory between TPU systems and other hardware, and Microsoft gave no figure for how much of its capacity it sells to its largest customers.
This Week In The AI Supercycle
Execution Fault Lines, Concentrated Demand, and Geopolitical Firewalls
This week’s issue: the AI build is not short of demand for its parts. It is short of cheap money, and its end revenue rests on a narrow base of large, often venture-funded buyers.
In the nine months to September, Alphabet sold its own AI chips, put $11.0 billion of cash into inventory, raised $147.2 billion and bought back no stock; in the quarter, Microsoft bought short-lived chips, turned about $63 of every $100 of revenue into operating cash and said it expects to stay free cash flow positive. The six contrasts, layer by layer, are the subject of Alphabet & Microsoft on the Map of AI.
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A note on sourcing. This piece restates figures from FourWeekMBA’s pieces published on 28 October 2026, each linked in the text, and from Alphabet’s and Microsoft’s results releases. Alphabet call quotations come from a transcript of the Alphabet Investor Relations webcast; Microsoft call quotations come from a machine transcript of Microsoft’s webcast, not Microsoft’s official transcript. The ratios are our arithmetic, not company metrics.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
