21 Dec AI and the Environment: What ESS Students Need to Know in 2026
AI and the Environment: What ESS Students Need to Know in 2026
We don’t consider the Artificial Intelligence (AI) the thing from the future movies. It is already here and influencing the way we think, write and learn. Sometimes we use it on our phones, but also many scientists use it in the field of environmental science. Ex. could be climate change modelling, weather impacts and flush floods predictions. The artificial intelligence is everywhere in our lives already. When it comes to the students of Environmental systems and societies (ESS) it is very important to understand the importance of ESS and AI. It can be used in a productive way in sustainable development but it can create higher coasts.
We will investigate the way ESS students can use AI for they benefits.
What Is AI and Why Is It Important For ESS?
AI refers to certain systems that can perform different tasks that are usually connected to humans. Examples include data interpretation and learning, future time predictions and identification of patterns. This is essential for Environmental systems and societies (ESS), where systems thinking is expected and included, AI finds it’s place. Many environmental issues—like climate change, loss of biodiversity, and air pollution—are complex problems with many variables. AI can analyze complex and different data points faster than us humans, helping scientists in order to understand these complex systems.
Some of the Positive Eco Impacts of AI
The AI has many benefits when it comes to the environment. One of the highly beneficial abilities of AI is its support of the environmental sustainability.
1. Climate Change Prediction
Climate is changing on our planet every day due to the negative GHGs such as CO2. There is the extensive use of the AI in the climate change predictions. It is used to data interpretations of the atmospheric patterns. This way climate change scientists can predict extreme events such as floods and hurricanes. It helps them with identifying the precise location and timing of these weather events. Early warnings issued by scientists can save many lives and reduce economic damage.
2. Biodiversity Loss and Protection
AI cameras and sensors are used to monitor endangered species. For example, AI can learn to distinguish animal and plant species in the wild from special keys or recognize bird song. This helps conservationists and scientists to watch over ecosystems and biomes without damaging them and to monitor illegal activities and actions such as like deforestation.
3. Sustainability
Generally speaking, AI helps our world become more sustainable. It can educate farmers on how to use proper amounts of water and fertilizers. It can even help them use pesticides more efficiently on their farms. AI systems use analyzing soil data to predict crop health and growth. AI systems can lead to less pollution and waste. This supports the ESS goal- food security and making a low environmental footprint.
4. Renewable Energy
AI helps us in calculating the future energy demand and supply. It improves the renewable energy efficiency. For example solar energy of HYP or wind energy. Grids can use AI to save the energy and save renewable energy sources in a more efficient way.
Negative Eco Effects of AI
Even thought there are benefits, AI also has some negative environmental effects that ESS students must know about.
1. High Energy Cost
Big AI models use high amounts of energy. Data storages the process AI information always rely on fossil fuel sources that are not renewable therefore unsustainable. This produces high CO2 emissions, leading to global warming and climate change. If we can understand this is essential when thinking about AI use in ESS.
2. High Amount of Waste
In order to AI work properly it needs hardware such as servers and data storages. These are made of metals such as lithium and cobalt, which are extracted from earth in some damaging ways for the environment creating pollution. When their parts or systems become old for use, it ends up to electronic waste, which is a global environmental problem.
3. Use of Water
Many AI data systems use large amounts of water for cooling them down. Therefore, in some arid regions this can increase pressure on fresh water sources, affecting people and biodiversity of that area.
As ESS students are preparing for 2026 in the best way so they can use technology and the AI, it is important for them to understand its advantages and disadvantages. We can now understand that AI and our environment are not isolated from each other but make an open system. Open systems exchange energy and matter with its environment as it is known by the ESS students. This helps ESS students in developing critical thinking, ethics and analysis which are ESS skills.
AI is not “good” or “bad” and that is what ESS students learn. It is just a tool that can be helpful but it offers advantages and disadvantages as everything in environment.
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