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Community, Compute, and the AI Race: Nancy Coblenz on Building the Right Infrastructure

Community, Compute, and the AI Race: Nancy Coblenz on Building the Right Infrastructure

Insights

  • Most enterprises approach data center infrastructure as a utility decision. The organizations getting it right are treating it as a community and innovation platform.
  • Buildings are being completed with no power to connect them, and power is being committed with no buildings ready to receive it. The sequencing problem in AI infrastructure is real and worsening.
  • The next competitive frontier isn't just who builds the most compute. It's who builds it with enough intentionality to earn the policy, community, and regulatory trust to keep it running.

AI infrastructure is moving faster than the systems built to support it. Nancy Coblenz, President and co-founder of Stellenium, sat down with Jeff Kavanaugh, Head of the Infosys Knowledge Institute, at the Semafor World Economy Summit in Washington, D.C. to discuss what a more deliberate approach to data center development looks like in practice. Where most builders are optimizing for speed, Stellenium works backwards from use case and community impact, a model Coblenz argues unlocks better long-term outcomes for enterprises, municipalities, and the innovation ecosystems around them. The conversation covers the compounding mismatches between buildings, chips, and power availability, the policy backlash beginning to emerge at the state level, and why the US cannot afford to treat AI infrastructure as an afterthought in a global race where others are not slowing down.

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