As AI systems evolve from passive tools into autonomous agents, they increasingly require infrastructure traditionally designed for humans: payments, identity, memory, communication, coordination, and governance.

Today, much of the AI ecosystem depends on highly centralized infrastructure layers — from model inference and cloud providers to payment systems and data ownership. This creates important questions around privacy, censorship, interoperability, resilience, and control.

This session explores how decentralized web technologies can become foundational infrastructure for the next generation of autonomous digital economies.

Topics covered in the session include:

• Why AI agents may become economic participants rather than simple assistants
• How stablecoins enable programmable, borderless machine-to-machine payments
• The role of decentralized identity and verifiable credentials for autonomous systems
• Decentralized inference and privacy-preserving AI architectures
• Open protocols for agent coordination and interoperability
• Local-first and peer-to-peer AI systems
• Risks of centralized AI infrastructure and emerging alternatives
• Real-world applications across finance, agriculture, creator economies, logistics, and global collaboration

Rather than viewing AI and decentralization as separate movements, this session explores how they may naturally converge to support more open, resilient, and globally accessible digital systems.

The goal of the session is not just to discuss future theory, but to examine practical infrastructure patterns that developers, researchers, and communities can begin building today :)