AI Progress Shifts to Reliance on Physical Infrastructure and Data Center Expansion

Key Intelligence

• ■AI advancement is increasingly bottlenecked by physical infrastructure, moving beyond just model development to focus on hardware, energy, and network capabilities.
• ■Companies are developing new components, such as AI data center-ready current sensors, to support the specific demands of AI workloads.
• ■Strategic partnerships are forming to develop large-scale AI data center campuses, emphasizing energy innovation to power these facilities.
• ■Network providers are significantly boosting capacity between key data center hubs and continents to meet the surging data traffic generated by AI applications.