Stripe is using AI to expand what its teams can build, not merely to reduce costs. Coding agents automate parts of development and generate thousands of pull requests, giving smaller teams more autonomy, reducing coordination overhead, and accelerating experimentation. The resulting productivity gains are being directed toward new products, broader financial infrastructure, and additional go-to-market capacity. The conversation then turns to an emerging agentic economy in which software agents discover services, provision tools, and make purchases on behalf of users or businesses. This could diminish the role of conventional checkout, especially in B2B commerce, while increasing demand for usage-based pricing, micropayments, and programmable spending controls. Stablecoins are presented as another key layer, offering faster and more efficient global transactions and connecting digital tokens with traditional currency systems. Finally, the discussion considers how Stripe is adapting its organization and infrastructure for an AI-native future. Maintaining high standards as the company grows requires strong leadership, direct product engagement, and a culture that gives employees meaningful agency.