
Latent Space: The AI Engineer Podcast The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
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Oct 30, 2025 Emily Glassberg Sands, Head of Data & AI at Stripe, discusses how the company leverages AI to revolutionize financial infrastructure. She dives into Stripe’s innovative fraud detection methods, boosting detection rates from 59% to 97% through real-time model embeddings. Emily explains the launch of the Agentic Commerce Protocol with OpenAI, enabling AI-driven commerce for companies like Walmart. She also touches on the importance of diverse billing models, new fraud vectors AI faces, and how creativity will shape the future of commerce in an AI-driven world.
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Payments Data As Strategic Infrastructure
- Stripe leverages payments data at internet scale (~$1.4T/year) to improve products and economic understanding.
- That data powers fraud prevention, checkout optimization, and product improvements across merchants.
Embeddings Power Real-Time Charge Decisions
- Stripe built a domain-specific foundation model and dense payment embeddings for many downstream uses.
- Those embeddings run inline on the charge path to detect complex patterns like card testing in real time.
Fast Wins With Foundation Models
- After deploying FM embeddings, detection rates for card testing rose for large users from ~59% to ~97% and deployment was fast.
- AI companies could quickly label suspicious clusters and decide which batches to block within days.

