04/03/2025
AI is a fascinating tool, but it shouldn't come at the cost of the planet. The irony is that we’re using AI to create art, which is often meant to inspire and reflect humanity, but if AI’s production is harming the environment, it kind of defeats the purpose.
As AI becomes more integrated into creative industries, we have to ask: Is the environmental cost worth it?
AI art relies on an energy-intensive digital infrastructure. If we don’t find ways to make AI models more sustainable, we risk contributing to climate change, water shortages, and resource depletion—all for the sake of convenience and automation.
➡️ AI models, especially large ones like those used for art, video, and text generation, require huge amounts of computational power. And training a single AI model can take thousands of GPUs (graphics processing units) running for weeks or months, consuming as much energy as MULTIPLE households use in a year.
➡️ AI models rely on massive data centers, which need constant cooling to prevent overheating. This requires a ton of water—Google, Microsoft, and other AI giants have been reported to use BILLIONS of liters of water annually just to keep their servers cool.
➡️ AI relies on powerful GPUs and specialized chips, which require mining rare earth metals like lithium and cobalt. Mining these materials causes deforestation, pollution, and unsafe labor conditions in many parts of the world.
➡️ Even after training, AI models require significant energy just to generate responses, images, or videos. Every AI-generated piece of art, video, or text requires cloud computing resources, which means more electricity, more emissions, and more environmental strain.
AI companies should be required to adopt more eco-friendly practices. Because right now, AI development is happening at lightening-fast speed, but there’s very little transparency or accountability when it comes to its environmental impact.
We think there should be clear regulations around AI’s environmental footprint, including:
➡️ Mandating renewable energy for data centers: AI companies should be required to power their operations with solar, wind, or other sustainable energy sources
➡️ Water conservation strategies: tech companies need to develop better cooling solutions that don’t waste billions of gallons of water
➡️ Ethical sourcing of materials: hardware production should prioritize recycled materials and ethical mining practices
➡️ Transparency and reporting: companies should be upfront about how much energy and resources they use, so we can hold them accountable
We'd love to see AI companies step up and make sustainability a core part of their development. The technology is powerful enough to be part of the solution, not just the problem.
