Can our existing energy infrastructure scale fast enough to support AI data centers without destabilizing the grid or driving up costs for local communities?
This question framed our recent webinar discussion with Dan Garcia of Steptoe & Johnson PLLC, where we explored how the rapid growth of AI data centers is reshaping energy demand and infrastructure planning. As AI adoption accelerates, data center power requirements are rising dramatically, creating new challenges for utilities, regulators and technology companies responsible for supporting this next generation of digital infrastructure.
Our discussion examined the evolution of data centers, the limits of today’s electrical grid, and the regulatory, financial and community considerations shaping how new AI infrastructure is planned and deployed. Several key themes emerged from the conversation:
- Grid Capacity is a Constraint – Aging infrastructure, transformer shortages and lengthy interconnection queues make it difficult for utilities to bring large new loads online quickly.
- Behind-the-Meter Generation is Becoming Essential – On-site cogeneration, solar and battery storage can close supply gaps while reducing pressure on residential and commercial ratepayers.
- Energy Policy Must Be “All of the Above” – Natural gas, renewables, nuclear, hydro and energy storage all play a role; no single energy source can scale fast enough to support AI growth on its own.
- Community Concerns Are Growing – Public fears around rising energy rates and local infrastructure impacts require proactive outreach and transparent communication.
- Financial and Regulatory Complexity is Increasing – Power purchase agreements, carbon credits and evolving reporting requirements introduce new considerations for AI operators and investors.
Practical Considerations for AI Data Center Developers
Based on our discussion, several practical themes stood out for organizations planning AI‑driven data centers:
- Plan for Hybrid Power Models – Developers should assume partial self‑generation and integrate utilities, gas suppliers and storage providers early in project planning.
- Engage Communities and Regulators Early – Early coordination with federal and state agencies, and clear messaging to local community leaders and stakeholders, can reduce delays and opposition.
- Invest in Battery Storage – Storage improves reliability, reduces footprint concerns and maximizes the value of renewable generation.
- Align Energy Strategy with Environmental Goals – Renewable energy credits, carbon sequestration and grid‑neutral commitments can offset emissions while supporting growth.
Overall, the webinar underscored that powering AI at scale is as much an infrastructure and policy challenge as a technological one, and success will depend on collaboration across energy, finance, regulation, and local communities. A recording of the webinar is available here.
How Can Schneider Downs Help?
If you have questions about AI infrastructure, regulatory and compliance considerations, or practical business applications, our team can help. Contact us at [email protected].
Schneider Downs Wealth Management Advisors, LP (SDWMA) is a registered investment adviser with the U.S. Securities and Exchange Commission (SEC). SDWMA provides fee-based investment management services and financial planning services, along with fee-based retirement advisory and consulting services. Material discussed is meant for informational purposes only, and it is not to be construed as investment, tax or legal advice. Please note that individual situations can vary. Therefore, this information should be relied upon when coordinated with individual professional advice. Registration with the SEC does not imply any level of skill or training.
