We know artificial intelligence consumes huge amounts of energy. The power grid is now a major concern in enterprise technology strategy, and it's reshaping decisions that used to belong entirely to the CIO. For three decades, capacity planning meant negotiating with a cloud provider or a colocation vendor. Today it increasingly means understanding utility interconnection queues, local zoning battles, and the willingness of hyperscale operators to build faster than the grid can comfortably absorb. New research from Synergy Research Group puts deep market data behind a trend every large enterprise buyer has already felt: the constraints are real, but the AI infrastructure build-out is not slowing down. Electric Power Grid Market Development Synergy's tracking shows that total U.S. data center capacity is on pace to double within the next three years, even as power availability and local opposition create genuine friction for new projects. It's a striking signal that demand ...
The worldwide external enterprise storage systems market reached a key point in the first quarter of 2026, and the implications for organizations running Applied-AI initiatives are impossible to ignore. IDC's latest market study reveals that systems grew 22.7 percent year-over-year to $9.2 billion, a dramatic acceleration from the 3.9 percent full-year 2025 growth rate. For enterprise leaders who have spent the past two years prioritizing GPU clusters and server infrastructure while treating storage as a secondary consideration, this data should serve as actionable guidance. The storage bottleneck in AI deployment is no longer theoretical, and the market dynamics now unfolding will directly shape the cost, timeline, and architectural viability of AI programs through at least 2027. Storage Systems Market Development The first quarter of 2026 produced several milestones that demand the attention of any organization with active or planned AI infrastructure investments. All Flash Array...