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Pinterest$PINS · filed: grew revenue 15.8% in FY2025 to $4.2BSound shipTrillion Score 577Fall Risk MediumNext year $4.3B–$5.2B sealedCheck ▾Close ▴
What Pinterest filed
Grew revenue 15.8% in FY2025 to $4.2 billion, operating margin 7.6% against a 2.9% median for computer programming, data processing, etc., equity 86.4% of assets. Every figure links to the filing it came from on Pinterest’s card. Sound ship: one warning sign. Trillion Score 577, #50 of 311 in its field; Fall Risk Medium (how it is measured).
What the house said in advance
Revenue for the fiscal year after 2025-12-31 between $4.3B and $5.2B, an 80% range sealed on 24 Sept 2026 · receipt #262b71 · graded in public by the revenue in Pinterest’s next annual report.
Figures as filed with the SEC. Ranges, scores and boats are statistical descriptions of past filings, not ratings or recommendations. Reporting, not advice.
In plain words
Pinterest's **$4B** AWS lock-in through 2031 is a structural bet on Amazon's custom chips beating Nvidia's cost curve at inference scale.
$4 billion
commitment with Amazon Web Services running through 2031
500 million
monthly users on a mix of Google Cloud TPUs…
50% lower cost
per training run versus comparable GPU instances
$400-600 million
annually at current inference scale
Pinterest signed a $4 billion commitment with Amazon Web Services running through 2031, binding the visual discovery platform to AWS infrastructure and Amazon's proprietary Trainium AI chips. The agreement represents Pinterest's largest single vendor lock-in and marks the end of its multi-cloud posture. Both stocks traded higher Thursday on the announcement.
The deal centers on Amazon's custom silicon rather than Nvidia's dominant H100 architecture. Pinterest will migrate recommendation engines, visual search models, and content moderation workloads to AWS Trainium chips over the next eighteen months, with production deployment targeted for Q3 2025. The company currently runs inference across 500 million monthly users on a mix of Google Cloud TPUs and on-premise Nvidia clusters. That changes now. AWS will provision dedicated Trainium capacity in US-East-1 and EU-West-1 regions under the agreement, with minimum compute guarantees Pinterest can scale during peak holiday traffic without spot pricing risk.
The commitment matters because it signals platform economics shifting beneath the AI infrastructure layer. Pinterest is betting $4 billion that Amazon's cost-per-inference advantage on proprietary chips outweighs Nvidia's ecosystem lock-in and the flexibility of staying cloud-agnostic. If Trainium delivers on Amazon's claimed 50% lower cost per training run versus comparable GPU instances, Pinterest saves roughly $400-600 million annually at current inference scale. That assumption carries execution risk. Trainium adoption remains narrow outside Amazon's own Alexa and recommendation teams, and model portability between Trainium and Nvidia CUDA is effectively zero. Pinterest is now structurally long Amazon's chip roadmap through the end of the decade.
The deal also reshapes bargaining dynamics across the hyperscale cloud oligopoly. Google Cloud loses Pinterest as a meaningful TPU reference customer and a hedge against AWS market share creep in the visual AI vertical. Microsoft Azure was reportedly in late-stage negotiations for a smaller Pinterest commitment as recently as March, according to two people familiar with the discussions. That collapse suggests Amazon offered more than price: likely co-development access to next-generation Trainium architecture and tighter integration between AWS Bedrock tooling and Pinterest's existing recommendation stack. The $4 billion figure approximates seven years of committed spend, implying roughly $570 million annually—a step-function increase from Pinterest's estimated $220 million in total cloud infrastructure costs during 2023.
Operators should watch Pinterest's Q3 2025 earnings call for disclosed inference cost deltas after Trainium migration begins, AWS's customer win announcements through mid-2025 for further Trainium adoption signals, and any Nvidia partnership announcements from Google or Microsoft positioning competitive custom silicon. Amazon will likely spotlight Pinterest as the flagship Trainium case study at re:Invent 2025 in December.
Pinterest now owns execution risk on a chip architecture with narrow production history, but it also locked $2-4 billion in potential savings if Amazon's silicon thesis proves out at scale.
Branded by POPS4 · proof in 60 seconds
For the principal
Monitor Pinterest's 2025-2026 gross margins for validation that Trainium inference costs structurally improve unit economics before considering cloud-native exposure.
For the operator
Track AWS Trainium win rates and chip roadmap execution—if Pinterest's migration stumbles, the entire custom silicon thesis compresses through 2026.
For the house
Short-term long AWS, avoid Pinterest until Q3 '25 proves Trainium migration doesn't crater recommendation latency during peak traffic windows.
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