Time to power is becoming the new measure of AI infrastructure readiness (www.techradar.com)

As AI technologies transition from experimentation to large-scale deployment, the focus on infrastructure is shifting from mere compute capacity to the critical need for reliable power. Unlike traditional power customers, AI data centers exhibit unique demands—they are larger, require immediate power, and have minimal tolerance for interruptions. This newfound urgency around energy availability not only influences where AI infrastructure is established but also the rate at which it can commence operations. PwC's analysis reveals that AI-related natural gas demand could surge to as much as 11.5 billion cubic feet per day by 2035, highlighting natural gas's role as a viable solution to meet the continuous power requirements necessary for large AI workloads. To mitigate delays in infrastructure deployment, technology leaders must consider energy procurement as a strategic capability rather than a secondary concern. The ability to secure reliable power swiftly is becoming as crucial as the financial investment in AI infrastructure. Innovative approaches, such as behind-the-meter generation and dedicated pipelines, are emerging as essential components in addressing this power challenge. Ultimately, organizations poised to thrive in AI will be those that not only recognize the importance of efficient energy delivery but also foster partnerships across the entire energy supply chain. In this rapidly evolving landscape, the speed at which data centers can access power may determine the pace at which they realize the benefits of their AI investments.