summaryIn this conversation, Philippe Trounev and Mitchell Jones delve into the complexities of agentic payments and the necessary payment infrastructure for the evolving AI economy. They discuss the challenges faced by AI startups in managing payments, the importance of measurement and optimization in payment systems, and the future of agent-to-agent payments. The conversation highlights the need for budgeting controls and trust in agent networks, emphasizing the role of gateways in facilitating these processes.takeaways

• Agentic payments require a clear understanding of costs and value delivery.
• Current payment infrastructures are inadequate for the needs of AI startups.
• AI startups must adapt their pricing strategies beyond traditional models.
• Using a payment gateway simplifies the integration of multiple AI models.
• Measurement is crucial for managing costs in AI operations.
• Budgeting controls are essential for preventing runaway costs in agentic systems.
• Trust and accountability are vital in agent-to-agent transactions.
• The future of payments will involve more automation and less human intervention.
• Experimentation with pricing models is now more feasible for startups.
• Building a robust payment infrastructure is critical for the success of AI applications.

Keywords

agentic payments, payment infrastructure, AI startups, payment systems, budgeting, trust, agent-to-agent payments, LavaPayments, FinTech, AI economy

Chapters

00:00 Understanding Agentic Payments

02:28 The Role of Payment Infrastructure in AI

05:21 Optimizing Payment Systems for AI Startups

08:07 The Future of Agent-to-Agent Payments

11:03 Budgeting and Control in the Agentic Economy

13:50 Building Trust in Agent Transactions

16:45 The Evolution of AI Agents and Payments

19:25 Challenges in Agent Communication and Budgeting

22:29 The Importance of Measurement in Payment Systems

25:18 Future Use Cases for Agent Payments

28:08 Final Thoughts on the Agentic Economy