Two scale machines — logistics and AWS — that no challenger can afford to replicate.
| Dimension | MOATE | Community |
|---|---|---|
| Switching costsweight 15Retail switching is trivial; AWS data gravity is not. Blended, the lock-in is real where the profit is. | 7 | — |
| Network effectsweight 15Marketplace sellers follow buyers and vice versa; AWS partners build on AWS. | 8 | — |
| Scale & cost advantageweight 12The definitional case: the fulfillment network and AWS are each larger than the next competitor. | 10 | — |
| Brand & pricing powerweight 12Prime trust is strong; pricing power is modest in retail and meaningful in AWS. | 7 | — |
| Cornered resourceweight 12A physical logistics footprint and a hyperscale cloud, both built over twenty years. | 8 | — |
| Distribution controlweight 12The default product search engine for a large share of shoppers, and owner of the last mile. | 8 | — |
| Disruption resilienceweight 12AWS is built to profit from the agent era — Strands runs any model anywhere. The retail and ad business, so far, is built to keep agents out. | 7 | — |
| Independenceweight 10FTC and labor scrutiny, but no single supplier, platform or customer holds leverage — and hosting both leading labs on Bedrock ended its reliance on one of them. | 7 | — |
Amazon blocked Meta's Muse shopping agent on a Sunday night. Shopify opened every one of its stores to Muse the next morning. One company is defending a $20 billion-a-quarter ad business built on human attention. The other has nothing to lose by letting the robots in.
The four biggest tech companies plan to spend about $725 billion on AI this year, and even they can't pay for it out of pocket. Amazon is moving chips off its balance sheet, Alphabet is selling stock and Meta is renting its own data centers back from investors. Who can afford the war says more about their moats than the spending does.
Anthropic's leaked IPO filing shows the fastest revenue ramp in software history. OpenAI is nearing $70 billion a year. We re-scored both moats against the numbers. Revenue went up. One moat went down.
The AI labs cut their prices in the same week. Amazon gave away the software that runs their models, on every cloud. The brains are getting cheap, and Amazon wants to own the body.
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