Did the purchases of property and equipment of Alphabet for the quarter ended September 30, 2026 come to at or above 36.0% of its revenue?
Divide the purchases of property and equipment by the revenue that Alphabet reports for the quarter ended September 30, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 36.0%; no if it is below 36.0%.
If the source is late or silent: If Alphabet has not filed by November 16, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
If no
Fewer than two hyperscalers describe themselves as constrained
Expects revenue growth or eased spending to keep the ratio below 36 percent.
If yes
At least two hyperscalers call themselves capacity-constrained
Expects AI capacity demand to keep pushing Alphabet's equipment spending higher relative to its revenue.
50%
NoYes
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The case · 8 people · 2 minutes
Fewer than two hyperscalers describe themselves as constrained2 people argue noAt least two hyperscalers call themselves capacity-constrained6 people argue yes
Stronger if no · 2 people
Fewer than two hyperscalers describe themselves as constrained
When xAI's AI research program faltered, most of the original team left, freeing up the compute infrastructure they had been using. This surplus compute became available to be marketed to external customers like Google and Anthropic.
Stronger if yes · 6 people
At least two hyperscalers call themselves capacity-constrained
As demand for AI infrastructure continues to grow faster than production capacity can scale, orders remain unfilled for extended periods, driving up prices for scarce components and rental capacity while manufacturers of cooling and power systems…
What would change the Call
The purchases of property and equipment and revenue that Alphabet reports for the September 2026 quarter.
The Call · Thesis 08 · At least two hyperscalers call themselves capacity-constrained
The house leans to "At least two hyperscalers call themselves capacity-constrained".
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The thesis
Will at least two of Microsoft, Alphabet, Amazon and Meta state on a 2027 earnings call that they remain capacity- or power-constrained in AI compute?
Through 2027 the largest cloud operators continue to describe themselves as short of AI capacity rather than long, confirming installed accelerators stay fully utilized, though whether any will use that precise phrasing on an earnings call is itself uncertain.