Riley Brown considers how election results and data center permitting could affect AI infrastructure investment. His predictions about future model releases, financing and usage limits are scenarios rather than established outcomes.
Riley Brown outlines the relationship among power, facilities, chips, cloud providers and model servicesAI compute infrastructure is the hardware, facilities, networks, power, cooling, storage, and software used to train and run AI models.. He argues that learning to use existing AI tools could remain valuable even if frontier progress slows.
Riley Brown demonstrates agent featuresAn AI agent is a system that observes context, decides what to do, and takes actions through tools to pursue a goal. involving phone calls, mobile sharing and access to a local coding session. He describes the limitations he encountered and discusses reported usage restrictions.
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