The CoStar News article “Mobile Edge Computing: ‘Gold Rush’ in Artificial Intelligence Expected To Drive Data Center Expansion” highlights how the rapid rise of artificial intelligence (AI) applications—from generative tools like ChatGPT to advanced machine learning workloads—is expected to drive significant growth in the data center sector. According to a JLL analysis, this AI‑led “gold rush” is accelerating demand for compute capacity, power, and data center space, especially at colocation facilities that serve a range of enterprise and cloud customers.
Analysts forecast that by 2025, roughly half of all data centers will be supporting AI programs, given their need for vast amounts of power and cooling. AI training and inference workloads consume dramatically more energy than traditional IT workloads, often requiring specialized facilities with high‑density power and advanced cooling systems. Data center operators such as DataBank are already positioning themselves for this shift, emphasizing high‑density colocation to handle AI workloads.
Despite strong demand, the industry faces challenges, including evolving technology, competition from hyperscale cloud providers building their own facilities, and environmental concerns about power and water consumption. Yet, financing activity remains strong, with data center firms tapping securitized bonds and other capital sources to fund expansion and development across major U.S. markets.
