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The template only earns its keep if you actually put two cases next to each other.

This is the reason every teardown answers the same questions in the same order. Put a luxury house beside a console platform and the differences stop being vibes — one is refusing sales to protect a price, the other is selling below cost to collect a toll, and both are defending a moat.

Case ACase B

Technology · NASDAQ: GOOGL

Google

Runs an auction on human intent roughly nine billion times a day, and pays tens of billions annually to make sure the intent arrives at its box rather than someone else's.

Technology · NASDAQ: AMZN

Amazon

Runs a near-breakeven retail operation at enormous scale, and earns essentially all of its profit from renting out the two things that operation forced it to build — computing capacity and shelf placement.

The thesis in one line

Google earns four cents when you ask it something badly, and nothing at all when you ask it well.

The store is not the business. The store is the customer acquisition cost for the businesses.

Verdict

Own it

Moat

Contested

Distribution · Network effects · Scale economics · Switching costs

Wide

Scale economics · Network effects · Process power · Switching costs

Porter's five forces

Competitive rivalry

Threat of new entrants

Threat of substitutes

Buyer power

Supplier power

Competitive rivalry

Threat of new entrants

Threat of substitutes

Buyer power

Supplier power

Headline figures

Revenue: $350B
Revenue per search: ≈ $0.04
Paid to Apple for default placement: >$20B/yr
Price paid for Android: ~$50M

Net sales: $638B
AWS share of operating income: ~58%
Retail operating margin: ~5.4%
Third-party share of units: ~60%

Unit economics

One commercial search query versus one AI conversation

Every query Google successfully converts into a conversation costs it more to serve and earns it less. This is the only sentence in the case that matters, and Google is spending $75B a year to accelerate the migration because the alternative is someone else owning the conversation.

One $50 third-party item sold through Amazon

Amazon captures roughly 38% of the sale price and carries none of the inventory risk. The seller took the risk, paid for the warehouse, and then paid again to be found in a search of Amazon's own catalogue.

What would change her mind

If Google Search & other revenue growth falls below 5% year over year for two consecutive quarters while search query volume is still growing, the migration to conversational interfaces is destroying monetisation per query and the core business is impaired regardless of engagement. Falling revenue with falling queries would be a share problem, which is fixable. Falling revenue on rising queries is a business-model problem, which is not.

If AWS revenue growth falls below 15% for two consecutive quarters while segment operating margin also declines, the cloud business is being commoditised rather than merely contested, and the capex is being spent defending share rather than buying growth. That combination — decelerating growth and compressing margin at the same time — breaks the thesis outright. A single weak quarter on either measure alone does not.

2 mechanisms in common

platform flywheel vertical integration