di Gabriele Di Tullio (15 anni) Lariano
AI is both accelerating and solving climate change: the hidden paradox shaping our future
Every time we ask an artificial intelligence a simple question, something invisible happens. Far from our screens, vast data centers activate, consuming electricity, generating heat, and silently contributing to a growing environmental cost. Artificial intelligence is often presented as a tool for progress. However, behind its rapid expansion lies a complex and increasingly urgent question: what is the true cost of artificial intelligence?
Ai generated image
A growing energy Appetite
According to the International Energy Agency, data centers, the backbone of AI systems, are expected to consume close to 945 terawatt-hours of electricity by 2030, an amount comparable to the entire energy consumption of Japan today. This demand is growing at an extraordinary pace. Reports highlighted by Carbon Brief show that energy use from data centers is increasing much faster than in most other sectors, largely driven by the expansion of artificial intelligence. In simple terms, the more intelligent our machines become, the more energy they require.
The Carbon Footprint We Don’t See
This surge in energy consumption comes with a climate cost.
The International Energy Agency estimates that data centers currently produce around 180 million tonnes of CO₂ emissions per year. While this represents a relatively small share of global emission, about 0.5%, it is one of the fastest-growing sources. In a world already struggling to reduce greenhouse gases, this trend raises serious concerns. Artificial intelligence, designed to optimize and improve systems, is paradoxically adding pressure to the very environment it could help protect.
A Thirsty Technology
Beyond energy and emissions, there is another hidden cost that receives far less attention: water. Data centers require large cooling systems to prevent overheating, and these systems consume enormous quantities of water. Some estimates suggest that AI-related infrastructure could use hundreds of billions of liters of water annually, comparable to the consumption of entire industries. In regions already facing water scarcity, this demand could intensify existing environmental stress.
The Climate Paradox
Despite these challenges, artificial intelligence is not simply part of the problem — it is also part of the solution. AI is increasingly used to:
- detect methane leaks, one of the most powerful greenhouse gases
- optimize renewable energy systems
- improve energy efficiency in cities and industries
The International Energy Agency highlights how AI could play a crucial role in accelerating the transition to a low-carbon economy.This creates a striking paradox: the same technology contributing to environmental pressure may also be essential in solving it.
A Question for the Future
The rise of artificial intelligence forces us to confront a difficult question.
Can we continue to develop increasingly powerful systems without considering their environmental impact? The future of AI should not be defined only by innovation, but also by responsibility. If guided carefully, artificial intelligence could become one of humanity’s greatest allies in the fight against climate change.
If not, it risks becoming another driver of the crisis.
Conclusion
Artificial intelligence is reshaping our world at an unprecedented speed. Yet, as we push the boundaries of what machines can do, we must also consider what it costs the planet. The challenge is no longer just technological it is ethical.Because in the end, the real question is not how intelligent our machines can become,
but whether we are wise enough to use them responsibly.
References
- International Energy Agency. Energy and AI.
https://www.iea.org/reports/energy-and-ai - International Energy Agency. AI and Climate Change.
https://www.iea.org/reports/energy-and-ai/ai-and-climate-change - Carbon Brief. AI: Five charts that put data centre energy use and emissions into context.
https://www.carbonbrief.org/ai-five-charts-that-put-data-centre-energy-use-and-emissions-into-context/ - Nature. The carbon footprint of artificial intelligence.
https://www.nature.com/articles/s42256-019-0145-9 - The Guardian. AI boom could consume vast amounts of energy and water.
https://www.theguardian.com/technology - Euronews. AI data centres and their environmental impact.
https://www.euronews.com/next