
In this episode of the Latent Space Podcast, Alessio Fanelli and Swyx interview Emily Sands, Head of Data and AI at Stripe, about Stripe's mission to build financial infrastructure for the internet and economic infrastructure for AI. Emily discusses the evolution of AI at Stripe, including the use of machine learning for fraud detection and the development of domain-specific foundation models. The conversation covers topics such as card testing attacks, friendly fraud, and refund abuse, as well as how Stripe is extending its Radar product to serve new AI business models. Emily also shares insights into Stripe's Agentic Commerce Protocol (ACP) with OpenAI, token billing, stablecoin adoption, and the importance of brand and design. She touches on internal AI use cases at Stripe, data strategies, and the build versus buy decision-making process, ending with her perspective on whether the AI economy is in a bubble and hot takes on AI's impact on GDP and market efficiency.
Sign in to continue reading, translating and more.
Continue