Alphabet in the AI stack

The business and what the filings show

Alphabet spent $160B on capital projects over its latest four quarters, 89% of its operating cash flow, building capacity both for Google’s own products and for Google Cloud. It designs its own accelerators, the TPUs, which gives it more control over the cost of AI compute than buyers who rely entirely on merchant chips.

Google Cloud is the strongest evidence in the filings that AI spending can earn a return. Its revenue over the latest four quarters was $93.2B, +76%, and its operating income $31.8B, +198% on the year before. Alphabet reports remaining performance obligations of $568B.

The debate around Alphabet is less about whether it can afford the spending than about what AI does to its core search business. The cloud segment shows the upside of the build-out; search advertising is where the risk of disruption sits. Both are in the same filings, which is why reading the segments matters more here than the consolidated total.

How AI shows up in the numbers

Alphabet is unusual in owning the whole chain: its own chips, its own models, its own cloud and its own consumer products. AI shows up as Google Cloud growth and margin, as capex, and in the search business, where AI answers change how ads are shown. Reading the segments separately is the only way to see which of those effects is winning.

Alphabet’s $160B of capital spending over the latest four quarters is 28% of the $566B the five largest buyers spent over their latest four quarters. The five together raised capex +81% on the four quarters before; Alphabet’s own revenue grew +22%.

How it talks about AI

In its latest earnings release, furnished to the SEC on October 28, 2026, Alphabet mentioned AI 6 times in 931 words of narrative text, about 6.4 mentions per 1,000 words. Of its 4 sentences about AI, 2 included a number: a revenue figure, a growth rate, a customer count or another measurable result. Across the 8 releases we read, back to February 4, 2025, AI mentions per 1,000 words went from 4.1 to 6.4.

Specific claims are easier to check against the numbers than general enthusiasm, which is why the share of AI sentences that carry a figure is worth watching alongside how often AI is mentioned. The sentences below are quoted from the release as published, after removing safe-harbor text and company boilerplate.

• “Google Cloud delivered record growth as revenues increased 103% to $30.7 billion, led by strong growth in Google Cloud Platform (GCP) across enterprise AI infrastructure and enterprise AI solutions, as well as core GCP services.”
• “Google Cloud revenues grew 103%, powered by huge demand for our AI infrastructure and AI solutions.”
• “Our AI investments are driving overall Search query growth, including commercial queries.”

Source: earnings release (Form 8-K, Exhibit 99.1), October 28, 2026.

The trend in the numbers

Since the start of 2023, Alphabet’s largest quarter by revenue was Q3 2026 at $128B, and its highest gross margin was 62% in Q1 2026. The latest quarter set the revenue record for the period.

Quarter by quarter, Alphabet’s revenue grew +18% in Q4 2025, +22% in Q1 2026, +24% in Q2 2026, +25% in Q3 2026 on the same quarter a year earlier. Growth has been accelerating.

Gross margin in the latest quarter was 60%, against 60% a year earlier, little changed. Operating margin moved from 31% to 32% over the same span. Over the latest four quarters it turned 38% of its revenue into operating cash flow and spent 34% of revenue on capital projects, against 20% a year earlier.

Segments that matter for AI

The parts of Alphabet’s reported results most tied to the AI build-out, from the segment and product disclosures in its 10-K and 10-Q filings.

Where it sits in the stack

Alphabet sits in the AI clouds layer of the AI stack. It is paid by the software layer; its own spending flows to servers, networking, power & DCs, chips.

Among the 8 companies in this layer on our map, it ranks number 2 by revenue and number 4 of 7 by revenue growth. Its gross margin of 61% compares with 61% for the layer as a whole, close to the layer average. The full layer analysis is on the AI clouds page.

Latest four quarters for 10-Q filers; latest fiscal year for 20-F filers. Companies under $100 million of revenue are left out.

Against the 7 US-listed companies in its layer, Alphabet grew +22% over the latest year versus +20% for the layer combined, and converted 4% of revenue into free cash flow versus 3% for the layer. It is growing roughly in line with its layer.

What has to go right, and what could go wrong

What has to go right. Google Cloud has to keep turning capacity into profit as it has over the past year, and TPUs have to keep Alphabet’s cost of AI compute below its rivals’, so that AI strengthens search rather than replacing it.

What could go wrong. If AI assistants take a meaningful share of the questions people used to search for, Alphabet’s largest profit pool is at risk, and the capex would be defending a business rather than growing one.

These describe the conditions the business depends on, as the filings show them. They are not a view on the stock.

Through the lens of Investing in AI

Rob May’s book offers six mental models for telling AI moats from traps. The one most useful for Alphabet’s layer is “Expect major market dislocations”: Most markets move slowly. AI does not. A single technical result can force the market to reprice an entire layer overnight. Assume fast repricings and sudden business-model breaks are normal, and position to benefit from shocks.

The question it asks of any company is: Which three to five assumptions have to hold for this investment to work? Applied to Alphabet, the filings on this page are the place to start: the margin trend shows whether it holds scarce value or passes it through, the customer and financing disclosures show who it depends on, and the commitments show what it has promised before the revenue arrives.

Customers and concentration

US companies must disclose any customer that accounts for 10% or more of revenue, and foreign filers usually describe their largest customers. Concentration matters because a company’s growth is only as durable as the handful of buyers behind it, and in the AI stack those buyers are often the same few companies.

• We have not found a customer-concentration statement in Alphabet’s latest filings that our reader can quote cleanly; see its filings on SEC EDGAR.

Commitments and backlog

• Backlog. Alphabet reports $568B of remaining performance obligations, 1.2 times its revenue over the latest four quarters: contracted revenue not yet earned.
• Purchase commitments. $75.6B of unconditional purchase obligations as of March 31, 2026 (10-Q): what it has contracted to buy from its own suppliers.
• Server life. Alphabet depreciates its servers and network equipment over 6 years, after changes it disclosed: 4→6 years (January 2023). See the useful-life calculator.
• Leases signed, not yet started. “As of September 30, 2026, we have entered into leases, primarily related to data centers and energy infrastructure, that have not yet commenced with future lease payments of $130.5 billion that are not yet recorded.” 10-Q

What to watch

Alphabet’s next quarterly report will cover the quarter ending around December 30, 2026. Large companies must file a 10-Q within 40 days of a quarter’s end and a 10-K within 60 days of the fiscal year’s end, so the new figures should arrive by about February 28, 2027 at the latest. This page, the layer pages and the next quarterly report all update from that filing.

• Google Cloud operating income and growth, the best evidence that its AI capacity is being sold profitably.
• Capex guidance and leases signed but not yet started, which show how much of the build-out is still ahead.
• Search advertising growth as AI changes how people search, the risk side of Alphabet’s AI story.
• Its place in the next quarterly AI Stack Report, which updates every company on the map from the new filings.

Figures from Alphabet’s SEC filings, latest period ended September 30, 2026. Other companies: all company pages.