DCF Trends Summit 2025 Session Recap

As the data center industry accelerates into an AI-driven expansion cycle, the fundamentals of site selection and investment are being rewritten. In this session from the Data Center Frontier Trends Summit 2025, Ed Socia of datacenterHawk moderated a discussion with Denitza Arguirova of Provident Data Centers, Karen Petersburg of PowerHouse Data Centers, Brian Winterhalter of DLA Piper, Phill Lawson-Shanks of Aligned Data Centers, and Fred Bayles of Cologix on how power scarcity, entitlement complexity, and community scrutiny are reshaping where—and how—data centers get built.

A central theme of the conversation was that power, not land, now drives site selection. Panelists described how traditional assumptions around transmission timelines and flat electricity pricing no longer apply, pushing developers toward Tier 2 and Tier 3 markets, power-first strategies, and closer partnerships with utilities. On-site generation, particularly natural gas, was discussed as a short-term bridge rather than a permanent substitute for grid interconnection.

The group also explored how entitlement processes in mature markets have become more demanding. Economic development benefits alone are no longer sufficient; jurisdictions increasingly expect higher-quality design, sensitivity to surrounding communities, and tangible off-site investments. Panelists emphasized that credibility—earned through experience, transparency, and demonstrated follow-through—has become essential to securing approvals.

Sustainability and ESG considerations remain critical, but the discussion took a pragmatic view of scale. Meeting projected data center demand will require a mix of energy sources, with renewables complemented by transitional solutions and evolving PPA structures. Community engagement was highlighted as equally important, extending beyond environmental metrics to include workforce development, education, and long-term social investment.

Artificial intelligence added another layer of complexity. While large AI training workloads can operate in remote locations, monetized AI applications increasingly demand proximity to users. Rapid hardware cycles, megawatt-scale racks, and liquid-cooling requirements are driving more modular, adaptable designs—often within existing data center portfolios.

The session closed with a look at regional opportunity and investor expectations, with markets such as Pennsylvania, Alabama, Ohio, and Oklahoma cited for their utility relationships and development readiness. The overarching conclusion was clear: the traditional data center blueprint still matters—but power strategy, flexibility, and authentic community integration now define success.

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