Agents Speak Protocol: Why Standards Are the Real Infrastructure of AI
Every major computing revolution eventually standardized how things talk to each other. Before TCP/IP, networks spoke dialects. Before HTTP, every service invented its own wire format. Before REST, SOAP was the only "enterprise" answer. Each time, entropy was reduced not by building better applications, but by agreeing on how they connect. We are at exactly that inflection point with AI agents. Today's agent ecosystem is a tower of Babel: agents speak different frameworks, tools are wired with one-off integrations, UIs are bolted on as afterthoughts, and client communication is reinvented per product. This is not a feature. It is entropy, and it is expensive. This talk maps the emerging protocol stack that is finally bringing order: MCP for agent-to-tool context, A2A for peer-to-peer agent collaboration, A2UI and AG-UI/MCPUI for declarative and generative interfaces, and ACP for client-side orchestration. We will examine what each protocol solves, where its boundaries are, and — critically — how they complement rather than compete. You will see concrete architectures where MCP and A2A work side by side in the same system, each doing what it does best. Along the way, we will draw parallels from protocol wars past: CORBA vs REST, SOAP vs JSON, WebSockets vs polling. History teaches that winners are rarely the most feature-rich; they are the simplest protocols that reduce the most uncertainty. The same pattern is already playing out in agentic AI.