According to McKinsey, global data center capacity is expected to more than triple by 2030, driven largely by the rise of AI, particularly generative AI (genAI), the technology behind tools like ChatGPT and Google Gemini.

Unlike traditional AI, genAI relies on new server, storage, and network architectures that enable "inference", generating original content from trained models. These GPU-based systems consume significantly more power, with racks requiring 50kW+ compared to 10kW for CPU-based ones. These 50kW+ racks of course require more power, in addition to some form of liquid cooling to operate effectively.

Legacy data centers aren’t built for this, forcing operators to choose between retrofitting, new builds, or third-party solutions. Yet, predicting future capacity needs remains difficult due to limited historical data.

With so much of this new data center landscape still largely unknown, in this survey, we aim to gauge where our respondents are on their AI journeys. Download now to understand where our respondents stand on AI adoption, investment priorities, sustainability concerns, and overall industry sentiment.