AI’s Growing Thirst

| Photo by Vitaly Gariev on Unsplash

In recent years, artificial intelligence (AI) has captured the imagination of many, celebrated as one of the defining technological advancements of our time. From chatbots that provide immediate answers to complex queries to algorithms that help doctors diagnose diseases more accurately, AI’s influence is profound and widespread.

In the educational realm, AI-powered tools are revolutionizing how students learn, how teachers manage their classrooms, and even how schools operate as institutions. Yet, despite this remarkable growth and potential, a pressing issue lurks beneath the surface: the substantial amount of water required to power AI systems, posing a considerable environmental challenge that warrants greater attention.

When we think of AI, it’s easy to envision an abstract, intangible concept—lines of code running on screens without physical form or presence. However, the reality is far more complex. AI relies heavily on data centers filled with thousands of servers, which are essentially the engines driving these digital innovations. To keep these servers running efficiently, they consume vast amounts of energy, necessitating elaborate cooling systems to prevent overheating. It may come as a surprise to many that these cooling systems can consume millions of gallons of water each year. As the demand for AI technology surges, so does the strain on our already fragile water resources, especially in areas grappling with water scarcity.

Research from institutions such as the University of California, Riverside, and the University of Texas highlights the environmental costs of AI development. The findings reveal that training advanced AI models requires substantial quantities of freshwater. For instance, generating a simple conversation with an AI chatbot, while seemingly trivial, can inadvertently demand a significant amount of water because the servers handling that conversation must remain cool. Estimates suggest that training large AI language models may require hundreds of thousands of liters of water, depending on the size and location of the data centers.

Big corporations at the forefront of AI technology—Google, Microsoft, and OpenAI—rely on data centers to fuel their advancements. Google’s environmental reports show a steady increase in global water consumption in recent years, largely driven by the rising demand for cloud computing and AI services. Similarly, Microsoft has documented rising water use associated with its AI initiatives. Alarmingly, many of these data centers are located in regions already facing drought and water stress. As major tech companies draw on vast amounts of water, local communities are left grappling with dwindling resources.

As we look at the broader picture of global water scarcity, the situation becomes even more concerning. The United Nations estimates that billions of people worldwide contend with water shortages for part of the year. Climate change is exacerbating droughts and extreme weather conditions, making freshwater increasingly precious. In this context, the rapid growth of AI raises ethical dilemmas: should society continue to pursue technologies that require substantial environmental resources without fully considering their long-term sustainability?

Education, a domain closely tied to human development and progress, is significantly affected by this complex relationship between AI and water consumption. Schools and universities are increasingly adopting AI-powered tools—ranging from intelligent tutoring systems to sophisticated grading algorithms—in hopes of enhancing research, teaching methodologies, and administrative efficiencies. Students now turn to chatbots for explanations of complex concepts, summaries of readings, and even essay generation. Teachers use AI to analyze student performance and devise lesson plans, all to boost learning outcomes. While these innovations improve accessibility and efficiency, they also contribute to the growing environmental burden associated with AI technologies.

Ironically, education’s core mission is to empower students to forge a sustainable future, yet many institutions are embracing technologies that may contribute to environmental degradation. A significant number of students remain unaware that every AI-generated response relies on a vast physical infrastructure powered by electricity and cooled with water. The educational narrative often mistakenly portrays digital technologies as “clean” because they do not produce visible pollutants, yet the environmental consequences lie hidden beneath the surface, waiting to be uncovered.

Furthermore, the widening reliance on AI in education threatens to exacerbate existing inequalities. Wealthier schools and universities can invest in cutting-edge AI tools and cloud-based platforms, while under-resourced communities struggle to access even basic educational technologies. The disparity in resource allocation is stark, with some regions potentially facing greater economic hardship if their water supplies are increasingly diverted to industrial and technological uses. Communities near data centers are sounding the alarm about the impacts of increased water consumption on local agriculture and household needs.

For example, in drought-prone states along the western United States, numerous data centers operate in regions where water conservation is already paramount. Residents are justifiably concerned that technology companies might prioritize their industrial needs over community sustainability and resource availability. This situation raises critical questions about our choices and priorities in an era of intense competition among governments vying to attract tech investment. While AI companies promise economic growth and innovation, the environmental trade-offs often remain unaddressed, leaving many vulnerable communities at a disadvantage.

Recognizing these impacts does not equate to a blanket rejection of AI and its benefits. The potential for artificial intelligence to enhance educational outcomes is immense, offering opportunities to reinvent how we think about teaching and learning. By combining personalized instruction with data-driven insights, AI can help identify individual students’ needs, foster engagement, and ultimately help close educational gaps. The challenge lies in harnessing this technology responsibly and thoughtfully, while also considering its environmental footprint.

As we stand at the intersection of technological advancement and sustainability, we must educate ourselves, our students, and our communities about the hidden costs associated with AI. It is crucial for educators, school administrators, and policymakers to understand the interplay between AI deployment and water consumption and to advocate for sustainability in both education and technology. Investigative initiatives may be necessary to assess the water implications of various AI applications in educational settings and to foster collaborative efforts to mitigate potential negative impacts. We must strike a balance that values educational innovation while actively safeguarding our planet’s precious water resources.

Moreover, exploring alternatives can pave the way for a more sustainable and equitable use of AI. For instance, data centers could prioritize renewable energy sources and implement more efficient cooling technologies, reducing both electricity and water consumption. Institutions might consider revising their technology integration strategies to choose tools that align with environmental best practices. A cooperative approach that emphasizes partnership among educational institutions, technology providers, and community stakeholders can cultivate a more holistic understanding of AI’s environmental impact.

While AI presents remarkable opportunities for education and beyond, awareness of its environmental footprint cannot be overlooked. The intersection of water depletion and AI offers vital lessons about responsible innovation, demanding that we carefully consider the long-term implications of our choices. As stewards of both education and the environment, we have a responsibility to challenge the narrative around technology, ensuring that we prepare future generations not solely for a digital world but for a sustainable one as well. By doing so, we can create a future in which AI serves as a powerful tool for learning without compromising the natural resources that sustain our communities and the planet.

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Editor’s Note: The Philippine Daily Mirror welcomes Johjojh Demol-Jenae as a columnist. Ms. Demol-Jenae’s column, Insights, will appear every Friday. Her initial column, AI’s Growing Thirst, appears today as her column handle is being prepared.

ABOUT THE AUTHOR – Johjoh Demol Jenae is a Mathematics and literacy teacher at Bronx International High School, a teacher trainer and curriculum writer, and a graduate with a Doctor of Philosophy in Development Administration, Doctor of Education in Educational Management, and a Post-Doctorate in Strategic Management and Leadership.