AI is expected to accelerate this demand as more and more industries adopt AI as a tool to achieve corporate objectives. The last three years have seen massive investments in AI and machine learning through venture capital, private equity and M&A. So far, 2023 has seen $32 billion in investments through Q1.“AI implementation requires significant computing power and resources, which translates to increases in leasing,” said Kari Beets, Senior Manager, Research, JLL. “AI needs also require higher power densities which require additional infrastructure in most data centers.”

Additionally, the demand for edge computing is accelerating. Generative AI, like ChatGPT, is also driving demand for edge computing requirements, as cloud companies are leveraging edge to enhance scale and deliver AI applications for faster, better responses.

AI models are also changing data center infrastructure, with some large requirements driving densities to 50-100 kW per rack. Many colocation providers have adjusted the voltage delivered to the floor to 415 volts, which can reduce the upfront cost of delivering power to these high-density clusters.

“Data centers are massive power users and require significant efforts to keep cool,” said Matt Landek, Managing Director, Data Centers & Telecom, Work Dynamics, JLL. “Given hyperscaler and colocation provider sustainability goals, the data center industry will need new innovations to improve cooling and energy efficiency for AI uses.”