Beyond Cosmoverse
Vodafone has 187 million connected devices. David Palmer, Chief Product Officer and Co-Founder of Pairpoint by Vodafone, has spent 25 years building the infrastructure underneath them—from 3G and 4G to enterprise blockchain, and now a live platform that gives IoT devices a cryptographic identity anchored in the SIM card. In this episode, he walks through what it actually takes to build production-grade machine payment infrastructure inside one of the world's largest telecoms companies, and why the convergence of AI agents, autonomous vehicles, and the Economy of Things is no longer a vision—it's an engineering problem. Topics covered: how Vodafone started exploring blockchain in 2017 and why IoT was the use case that stuck; the SIM card as a hardware security layer for machine identity; why 3.3 billion devices are projected to transact by 2030; the Mastercard and JPMorgan integrations and how the payment stack works; why 115 billion AI agents by 2030 will stress every authentication system we have; phone number identity as a scalable trust layer for agentic commerce; autonomous vehicles with their own P&Ls; and why the next wave of economic growth will follow AI infrastructure, not cheap labor. Beyond Cosmoverse is the Executive Dialogue Series by Cosmoverse, the institutional digital asset summit. Hosted by Roberto Cassa, Marketing Director at Cosmoverse, each episode brings together practitioners from finance, regulation, and digital asset infrastructure. Learn more at cosmoverse.org. Timestamps (00:00) Introduction (01:40) Vodafone started exploring blockchain in 2017 (04:22) Pairpoint (06:12) Vodafone, Sumitomo, and the route to market (08:13) SIM card as a machine identity layer (12:04) Autonomous vehicles, liability, and digital identity (14:04) 3.3 billion devices transacting by 2030 (15:31) AI agents as the new user base (17:54) The biggest friction in building this product (21:12) Mastercard and JPMorgan, how the payment stack works (23:38) 115 billion AI agents by 2030 (28:43) Sovereign AI and machines with their own P&Ls (32:39) Hong Kong, APAC, and the regulatory race (36:02) Humans and AI, the optimistic case (39:40) Advice for operators navigating AI (41:28) Closing
5 episodios
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