Arthur D. Little
AI Resource Dependencies and Systemic Vulnerabilities Report
Pages
104
Time to read
131 mins
Publication
Language
English
Pages
104
Time to read
131 mins
Publication
Language
English
This report examines the hidden resource dependencies and systemic vulnerabilities associated with artificial intelligence (AI). It is based on a three-month study that involved over 50 expert interviews. The document outlines how AI, while appearing lightweight to users, relies heavily on a substantial industrial infrastructure comprising minerals, manufacturing, electricity, and water. The report identifies three primary vulnerabilities: environmental impacts from energy usage, the strain on electricity supply, and dependencies on compute infrastructure. It details the rising environmental impact of AI, including significant carbon emissions and water usage, and highlights the increasing energy demands of AI systems, which are projected to escalate dramatically. Furthermore, the report discusses the competitive landscape for compute resources, noting the concentration of power among a few major providers and the geopolitical implications of AI capabilities. Strategic recommendations for businesses are provided to navigate these challenges effectively.