NTT Global Data Centers Warns of AI Infrastructure Bottlenecks by 2030
Event summary
- NTT Global Data Centers projects AI data center demand to grow 23-30% annually through 2030.
- Power availability, equipment supply chains, and land constraints could create capacity crunch if unaddressed.
- Report identifies processors, transformers, switchgear, and backup generators as key choke points.
- NTT recommends early power-grid co-planning and supply-chain diversification to mitigate risks.
The big picture
NTT's report highlights a critical infrastructure gap as AI demand outstrips current data center capacity. The constraints identified—power, equipment supply chains, land availability, and labor shortages—threaten to slow the deployment of AI solutions, potentially impacting tech companies' growth trajectories and investor returns. The challenge extends beyond scaling capacity to addressing operational inefficiencies that could erode the economics of AI investments.
What we're watching
- Power Grid Alignment
- How utilities and data center operators will coordinate power infrastructure planning to avoid bottlenecks.
- Supply Chain Resilience
- Whether equipment manufacturers can scale production to meet AI data center demand.
- Regulatory Engagement
- The pace at which communities and policymakers will approve new data center projects amid rising opposition.