The rapid expansion of data centers in the United States and globally has become one of the most significant developments in infrastructure over the past decade. Fueled by the explosive growth of artificial intelligence (AI) technologies and cloud services, data centers are transforming the energy and water consumption landscape in unprecedented ways. While this digital evolution powers innovation, it also raises pressing questions about sustainability, resource management, and societal trade-offs.
This article explores the challenges posed by massive data center buildouts, focusing on energy demands, water usage, community impacts, and potential solutions. Whether you’re a construction leader, infrastructure developer, or power generation expert, understanding these dynamics is critical as the industry navigates its role in this transformative era.
Data centers have become the backbone of the digital economy, facilitating AI, cloud computing, and the broader internet ecosystem. The scale of this growth is staggering. According to the International Energy Agency, data centers accounted for approximately 1.5% of global electricity consumption in 2024 - a figure projected to double by 2030.
This growth comes with hefty investments. In 2025 alone, $580 billion was spent globally on AI and data centers, surpassing the $540 billion used to develop the global oil supply. These numbers underline not only the importance of data centers but also their immense resource demands in terms of energy and water.
AI applications like ChatGPT, Google’s Gemini, and other generative models are major contributors to this surge in energy demand. While a single query to an AI model may seem relatively insignificant - Google estimates its Gemini model uses 0.24 watt-hours per query (equivalent to one second in a microwave) - the cumulative effect is significant. With billions of queries running daily, the energy footprint quickly escalates.
Moreover, the race to expand AI capabilities has outpaced even ambitious renewable energy goals set by companies like Google and Microsoft. While many tech giants continue to invest in wind, solar, and nuclear energy, the sheer speed of AI-driven growth has created an ever-moving target. Energy systems simply cannot scale as quickly as the demand for data center capacity, introducing systemic challenges.
Beyond energy, water is another vital resource consumed by data centers, particularly in cooling operations. Most data centers rely on evaporative cooling systems, which require vast amounts of high-quality water to prevent bacterial growth or equipment damage.
In 2023, data centers accounted for about 3% of the nation’s total water usage, and this figure is expected to double by 2030. While this may seem modest at a national level, the impact on local communities can be severe. In some cases, a single data center uses more water than all the residential homes in a county combined. Alarmingly, many data centers are built in water-stressed regions like Arizona, Nevada, and Texas, compounding the strain on local resources.
Water is also required in chip manufacturing - a process that demands extremely pure water. Chip production itself contributes up to 10% of the total water use in AI-related processes, adding another layer of complexity to the resource equation.
The resource-intensive nature of data centers has not gone unnoticed by communities and policymakers. Rising utility rates - partly driven by the energy demands of data centers - have become a hot-button issue in states like Virginia and New Jersey. Virginia, which hosts the largest concentration of data centers globally, has seen significant backlash, with $93 billion worth of projects delayed or canceled between March and June 2025 due to community protests.
In addition to utility rate hikes, concerns over water availability and environmental degradation have sparked local opposition. Communities facing resource depletion are increasingly questioning whether the economic benefits of data centers outweigh their environmental and social costs.
Recognizing these challenges, tech companies and researchers are exploring alternative cooling technologies to reduce water consumption. Two promising methods include:
While these systems hold promise, they come with trade-offs. For instance, direct liquid cooling can increase electricity consumption by up to 10%, potentially negating some environmental benefits. Additionally, these methods are often more expensive to implement, making them less accessible for smaller data center operators.
Tech companies have also made notable strides in procuring renewable energy and exploring nuclear options. For example, Microsoft has invested in energy generated from the Three Mile Island nuclear plant. However, the lengthy timelines required to develop large-scale energy infrastructure - especially nuclear plants - pose challenges to meeting the immediate needs of AI-driven data center growth.
The buildout of data centers is a double-edged sword. On one hand, they enable groundbreaking AI innovations and power the digital economy. On the other hand, their resource demands - particularly for energy and water - pose significant sustainability challenges. As decision-makers in construction, infrastructure, and energy sectors, it’s essential to anticipate these demands and advocate for sustainable practices that balance growth with resource preservation.
The road ahead demands collaboration across industries, from tech giants to energy providers, policymakers, and construction leaders. By adopting innovative cooling technologies, investing in renewable and nuclear energy, and engaging with local communities, the industry can address today’s challenges while paving the way for a more sustainable digital future.
Source: "As Companies Build Data Centers For AI, Communities Push Back" - SciFri, YouTube, Feb 12, 2026 - https://www.youtube.com/watch?v=5aSluian3NI
