The explosive rise of generative and agentic AI is driving an unprecedented demand for compute power, fundamentally reshaping the digital economy. However, scaling AI requires navigating an intense convergence of real-world infrastructure constraints.

Commissioned by NTT Global Data Centers and modeled by ThoughtLab, this report stress-tests global AI growth scenarios against tightening bottlenecks through 2030, providing a critical strategic blueprint to turn infrastructure pressure into competitive advantage.

Key takeaways:

• Navigate the capacity crunch: Learn why AI workloads are projected to absorb up to 80% of data center capacity by 2030, and what that means for your deployment timelines
• Anticipate regional bottlenecks: Get a granular look at the distinct resource pressures facing the US, Europe, and APAC across grid power, land, and specialized labor
• Harness high-efficiency innovation: Discover how advanced closed-loop liquid cooling and AI-driven workload management are successfully mitigating environmental and resource strains