
Building the next generation of artificial intelligence has become a contest for processing power. As demand for specialist chips, inexpensive energy and scarce data-center capacity intensifies, AI compute has emerged as the new engine of innovation and its greatest constraint.
The Economis’s AI Compute Summit explores the technology, energy and infrastructure challenges shaping how the AI computing ecosystem operates. Companies are racing to secure access to GPUs and computational power needed to train advanced AI models, while executives grapple with scarcity issues that could determine competitive advantage.
The event addresses critical questions around grid improvements, sustainable data-center design, energy capacity and AI regulation. Attendees examine how current choices made by executives and policy officials will shape the success of companies and national economies in an AI-driven future.
Participants hear real-world case studies from companies deploying AI at scale across sectors from healthcare to finance. The summit covers cutting-edge strategies for building AI compute systems that scale while reducing energy consumption and environmental impact, addressing pressing concerns around AI’s carbon footprint.
The gathering brings together industry experts, technology providers and decision-makers driving advancements in AI compute infrastructure. Whether examining GPU access, regulatory trends or investment opportunities, the summit helps attendees navigate the complex landscape of AI computing and its geopolitical implications.