AI Browser Infrastructure provides programmatic browser automation and web interaction capabilities purpose-built for AI agents and autonomous systems. Unlike traditional browser automation designed for testing or RPA, these products are sold by browser-session, browser-hour, or completed task and expose APIs, SDKs, or emerging protocols like Model Context Protocol for agent-driven workflows. Buyers are developers and enterprises embedding browser capabilities into their own AI applications. The category encompasses headless browser APIs, visual agent browsers that interpret DOM and rendered pixels, and hybrid systems combining both modalities. Originally an extension of headless testing tools, the space has rapidly evolved to incorporate vision-language models for screenshot understanding, natural-language task planning, and adaptive element detection that handles dynamic web applications without brittle selectors.