The Hidden Environmental Cost of “Free” Technology

By Varun Swamy, MPY Youth Advisory Board Member

I was scrolling through Instagram when I saw a post that stopped me. It claimed that a short conversation with an AI chatbot can use roughly the same amount of water as a standard water bottle: 500 milliliters.

That number didn’t make sense to me at first. So I tried to picture it. The average person needs about eight to ten cups of water a day to stay hydrated. Now imagine millions of people using AI every single day. According to researchers at UC Riverside, training just one large AI model like GPT-3 consumed an estimated 700,000 liters of fresh water. And that is before a single user ever typed a question.

Then I thought about how many times I had used AI that week. Homework help. Drafting messages. Explaining things I did not understand. Suddenly, that number felt a lot bigger.

We think of technology as clean and invisible. But it is not.

Why “Free” Technology Isn’t Really Free

When we use social media, search engines, streaming apps, or AI tools, we do not see the cost. There is no price tag. But that does not mean there is no impact.

All of these tools run in data centers. Data centers are huge buildings filled with thousands of computers that run nonstop. They power your Instagram feed. They store your Google searches. They generate AI responses.

And they need a lot of resources to work.

The Hidden Cost of Digital Technology

We do not see a bill when we open Instagram or ask AI a question. But the cost is real, and it shows up somewhere not only on our screens.

It starts with water. Computers overheat when they run complex tasks, and data centers use massive cooling systems to manage that heat. According to researchers at UC Riverside, training a single large AI model can consume hundreds of thousands of liters of fresh water. That water comes from somewhere, a local reservoir, a regional water supply, a community that depends on it. In areas already facing drought or water stress, a new data center moving in does not just affect the environment. It affects the people who live there, the quality of the water they drink, and how much of it is left.

Then there is the energy. Data centers run nonstop, drawing enormous amounts of electricity, much of it still generated by burning fossil fuels. That process releases pollutants into the air, which are directly linked to asthma, respiratory illness, and cardiovascular disease. These are not distant, abstract health risks. They are the conditions that send children to the emergency room and keep adults out of work. And the communities closest to power plants and data center facilities tend to be lower-income neighborhoods that already carry a disproportionate share of environmental burden.

The electricity demand also drives up utility costs. When data centers move into a region and draw heavily from the local power grid, electricity prices can rise for everyone in that area. For families already making difficult choices between paying the electric bill, buying groceries, or affording medication, that increase is not a minor inconvenience. It is a real hardship that forces impossible trade-offs. The price of keeping the lights on should not go up because a tech company needed to cool its servers.

None of this means technology is the enemy. But it does mean that what feels invisible to us has very visible consequences for others in their air, their water, their health, and their household budgets.

Why This Matters

We treat technology as if it exists in the cloud, with no effects on anyone. But the “cloud” is made of machines, wires, water systems, and power plants. While there are definitely benefits to using computers and other technology platforms, these decisions can impact our surroundings in significant ways. The truth is, our digital habits add up. Every search, every scroll, every AI prompt uses real resources in bulk. And the effects are not shared equally. Lower-income communities often live closer to industrial sites and face higher environmental risks.

What We Can Do

I am not saying we should stop using technology. AI can help with learning, creativity, and problem-solving. Social media helps us stay connected. Search engines connect us to information in seconds.

But awareness matters, and it is only the beginning. When we understand the real cost of our digital habits, we are in a position to make better choices. Not perfect choices, but more intentional ones. Awareness without action stays awareness. It is the choices that follow, the ones we make every single day, that actually determine the impact we have on the people and communities around us.

Using technology ethically means asking a simple question before we open an app or prompt an AI: Does this add real value, or is this just a habit? That question does not require sacrifice. It requires honesty. And when enough people start asking it, the answer starts to shape something larger than individual behavior. It shapes demand. It shapes what companies prioritize. It shapes what gets built next.

Here are five simple steps to think about while using technology:

Use tech with purpose. Before opening an app or asking AI to do something small, ask yourself if it truly adds value.
Avoid mindless scrolling. Set limits so your screen time reflects intention, not habit.
Learn where your power comes from. Understanding how energy is produced in your state or country helps you see the bigger picture.
Support smarter solutions. Many companies are working on renewable-powered data centers and more efficient cooling systems. Stay informed and support responsible innovation.
Technology is powerful. It helps us learn, create, and connect, but it is not weightless. That 500 milliliter water bottle from the beginning? Multiply it by millions of people every single day, and the true cost of our digital habits becomes impossible to ignore.

Sometimes it will be. Sometimes it will not. We have a responsibility to our friends, our families, and the communities around us to actually choose differently. The environment we are affecting is the same one we all share. The air quality, the water supply, and the climate are not abstract problems. They are the conditions our peers grow up in, the health outcomes our families face, and the world we are handing to the next generation. Awareness without action is not enough. We owe it to each other to use that awareness wisely.

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Sources:

Li, S., Robinson, R., Zhao, Y., et al. (2023). Making AI Less Thirsty: Uncovering and Addressing the Secret Water Footprint of AI Models. University of California, Riverside & University of Texas, Arlington. https://arxiv.org/abs/2304.03271

International Energy Agency. (2023). Electricity 2024. Data Centers and AI are driving a surge in electricity demand. https://www.iea.org/reports/electricity-2024

United States Environmental Protection Agency. (2024). Greenhouse Gas Emissions from the electricity sector. https://www.epa.gov/ghgemissions

American Psychological Association. (2023). Social Media and Mental Health. https://www.apa.org/topics/social-media-internet/social-media-mental-health

Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press. One of the most respected books on the physical costs of AI and digital technology.

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