Yield Theory

Open dataset · 2026

AI capex, stripped of false precision.

Download the evidence behind the $695B–$720B hyperscaler spending envelope. Every row preserves the company's definition, period, source, and comparison limits.
Companies
4
MSFT · AMZN · GOOGL · META
Guidance low
$695B
Guidance high
$720B
Reviewed
2026-08-10

Download the complete comparison

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What the total means

This is a capital-spending envelope, not an audited AI-only total. Amazon is companywide, Meta includes finance-lease principal, Microsoft uses calendar guidance across a June fiscal year, and none of the four isolates every AI dollar.

See how to normalize the numbers →
Company2026 guidanceLatest signalPrimary comparison limitSources
Microsoft

MSFT

About $190B

Calendar 2026

$31.9B

Roughly two-thirds short-lived assets, primarily GPUs and CPUs

The company does not disclose a standalone audited AI-capex figure.
Amazon

AMZN

About $200B

Calendar 2026

$66.1B

Year-over-year increase in trailing property-and-equipment purchases, net of incentives

The $200 billion plan is companywide and cannot be treated as pure AI or AWS capex.
Alphabet

GOOGL

$175B–$185B

Calendar 2026

$91.4B

About 60% servers and 40% data centers and networking

Alphabet does not publish a clean AI-only capital-expenditure measure.
Meta

META

$130B–$145B

Calendar 2026

$31.08B

Includes principal payments on finance leases

The capex outlook includes infrastructure used across Meta's core business and research, not only generative AI.

Method and update policy

Yield Theory records the latest explicit annual guidance from each company, preserves its accounting scope, and links the primary earnings or investor-relations source. We update the dataset after a material guidance change rather than manufacturing a daily estimate from market commentary.

Read the research methodology →

What this dataset cannot tell you

  • It does not isolate a comparable audited AI-only capex line.
  • It does not predict a supplier's revenue from the spending total.
  • It does not prove the new capacity will reach profitable utilization.
  • It does not replace current company filings or personalized advice.

The dataset shows where the money goes. We make the investment call.

Members get the companies, catalysts, risks, and written breakpoints that turn the capex cycle into a portfolio thesis.

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