Plenary Debate

AI agents are forcing computer science to examine itself. The discipline that gave us sorting algorithms, operating systems, and the internet is now confronting systems that write their own code, coordinate with other agents, and reshape the traffic patterns our networks were designed to serve. So, what should the next generation of computer scientists build? Which foundations — algorithms, protocols, distributed systems, theory — remain essential as workloads shift from human clicks to agent-to-agent coordination? As inference economics redraw where compute lives? As data centers and networks strain under AI-scale demand? And where does the field need genuinely new ideas, new training, and new ways of thinking about problems that barely existed a few years ago?

Two teams of academic, industry, and policy leaders will take opposing sides of a single motion. The house will vote before they speak — and again after. The side that moves the room wins.