Henrico County in Virginia has directed all employees, including those in schools and social services, to conserve power in response to rising electricity costs driven by AI. The county’s manager, John Vithoulkas, sent an email urging staff to turn off unused lights and computers, use blinds to reduce heat buildup, and avoid heavy energy use such as space heaters. These measures come as the county faces increasing energy demands from the rapid expansion of data centers in the region.

The surge in energy consumption is tied to the proliferation of data centers across Virginia, which are central to the AI industry. The state is home to over 400 data centers, with Henrico County alone hosting 37, and more are expected to be built. This growth is putting pressure on the local grid and leading to rising electricity prices, as power providers struggle to keep up with the demand.

The impact of this expansion is evident in the increasing frequency of electricity rate hikes by the state’s main power provider. These increases are directly linked to the growing energy consumption of data centers, which require vast amounts of power for cooling and computing. As a result, local governments and institutions are being forced to take steps to reduce energy use, even as the demand for AI-driven services continues to grow.

The rising energy costs and grid strain caused by data centers are affecting not only local governments but also businesses and residents. Companies that rely on data centers may face higher operational costs, while consumers could see increased utility bills. Additionally, the reliance on a limited number of power providers may lead to vendor lock-in and concerns over energy governance and sustainability.

As the demand for AI and data processing continues to expand, the energy challenges faced by Virginia may serve as a cautionary example for other regions. The need for grid expansion and energy conservation measures highlights the growing intersection between AI infrastructure and energy policy, with long-term implications for cost, sustainability, and regulatory oversight.