Demands of AI supercycle spur cross-industry consensus to evolve US and European network infrastructure - new study

Core Insights - A significant majority of technology and business leaders in the U.S. and Europe recognize the need for substantial evolution and investment in network infrastructure to meet the demands of the AI supercycle [1][9] - The research indicates a collective understanding that next-generation network capabilities are essential for supporting complex AI workloads, presenting an opportunity for industry and government collaboration [2][4] U.S. Insights - In the U.S., 88% of respondents are concerned that network infrastructure expansion may not keep pace with AI investment, highlighting the need for bi-directional data flow optimization and low-latency edge infrastructure [7][9] - The report titled "Infrastructure First Is the New America First" emphasizes the urgency of modernizing network architecture to facilitate the next phase of AI growth [8] European Insights - In Europe, 86% of enterprise respondents believe current networks are inadequate for widespread AI adoption, with many already facing challenges related to downtime and latency [10][11] - The findings suggest a need for regulatory simplification and alignment across markets, timely spectrum availability, and investment in energy-efficient, AI-ready networks to address these challenges [11]