Every story tagged Hyperscale Cloud, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
2 stories · open in the command center
Major cloud and AI infrastructure providers are experiencing strong momentum with massive capital expenditure plans—Big Tech is collectively investing ~$710B in AI infrastructure in 2026, signaling a fundamental shift in where computing resources and competitive advantage will be concentrated. For IT organizations, this represents both a challenge (compute constraints are real even at hyperscaler scale) and an opportunity (cloud providers are racing to deliver AI capabilities, creating new tools and services for enterprise adoption). Qualcomm's announcement of a major hyperscaler partnership later this year suggests hardware diversification is accelerating, which could reshape chip supply chains and data center architectures that IT leaders depend on.
Organizations are increasingly decommissioning on-premises data centers in favor of cloud and hyperscaler infrastructure, recognizing that private companies cannot match the scale, efficiency, and continuous innovation of major cloud providers. This complex undertaking—exemplified by PPG's four-year project to shut down eight global data centers—requires meticulous planning across workload migration, hardware disposition, compliance management, and organizational change to avoid significant risks including downtime, data exposure, and reputation damage. By 2030, Gartner estimates twice as many enterprise data centers will be decommissioned as built, making this a critical strategic initiative that demands IT leaders separate modernization efforts from migration to minimize risk and organizational disruption.