Legislating the Grid: How States Are Balancing Data Center Growth, Ratepayer Protection, and Energy Infrastructure—A 50‑State Analysis
Supervised by: Professor Michael Gerrard, Founder and Director of Sabin Climate Center, Columbia Law School
Project Background
Amid existing grid strain and the unplanned extension of coal operations in my home state of Nebraska, Google has recently proposed a fourth data center, which would require more than three times the power the entire city of Lincoln uses at peak summer demand. Massive projects such as this are being deployed at a rapid scale nationwide, while research and regulation lag behind.
This project examines how state legislatures are adapting energy policy and economic structures to accommodate surging electricity demand from data centers. As large-load customers, primarily technology corporations, enter long-term power purchase agreements, they strain existing grids, shift costs onto residential ratepayers, and create opportunity costs in energy deployment. This project systematically analyzes the legislative approaches taken by all fifty states, enabling a more rigorous evaluation of the overall efficacy of these evolving policies in the largely unseen wake of the AI revolution.
Research questions
What patterns are emerging among legislative solutions for energy demands across the 50 states?
What distinguishes states that take proactive regulatory stances from those that favor industry-friendly incentive structures?
What does "equitable and efficient" policy look like at the intersection of AI infrastructure and energy regulation?
Methodology
This research will conduct a comprehensive 50-state analysis of legislation introduced or enacted during the 2025–2026 legislative sessions, producing a typology of state-level policy approaches and assessing their relative effectiveness using indicators such as energy demands, associated restrictions/requirements, and implications for the local community.
Using platforms such as LegiScan, state legislative databases, and regulatory filings, I will identify and catalog relevant bills across all fifty states.
Each piece of legislation will be coded according to key variables, including:
- Type of policy mechanism (e.g., tariff structures, rate classifications, subsidies, caps)
- Treatment of large-load customers and infrastructure requirements
- Energy sourcing provisions
- Former or current siting restrictions
- Implications for ratepayers
- Ideological support for the legislation (party affiliation of bill sponsors)
Other relevant, non-legislative specific variables to be assessed:
- Campaign contributions by data-center-associated companies to state races
- Local opposition to data centers
Objectives
By synthesizing legislative data and case studies, the research will generate actionable insights for policymakers and legal scholars working at the intersection of energy regulation and emerging technology. Ultimately, this work aims to inform more equitable and efficient policy design to address the accelerating energy demands of AI-driven infrastructure.
Outputs
The research is designed to have both academic and practical applications. The potential for public-facing tools, including a comprehensive, cataloged online bill tracker website, ensures the work will extend beyond the program and contribute to ongoing policy conversations.