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Discover your AI carbon footprint and learn how to offset it through nature-based solutions like tree planting or environmental cleanup.
Adjust your usage and click calculate to see your environmental impact
A single ChatGPT query uses about 0.3-0.4 Wh of energy. Reasoning models like GPT-5 and Claude Opus can use 50-100x more.
A mature tree absorbs approximately 21 kg (48 lbs) of CO₂ per year, helping offset carbon emissions.
Removing 1 kg of plastic from the ocean prevents ~3 kg of CO₂ equivalent emissions over its lifecycle.
Global data center electricity consumption is projected to reach 1,050 TWh by 2026, with AI as a primary driver of growth.
Our methodology is based on peer-reviewed research on AI energy consumption
We estimate energy usage based on published data from OpenAI, Google and independent research (Epoch AI, IEA). Values vary by model size and query complexity.
We apply average global grid carbon intensity (~0.4 kg CO₂/kWh) to convert energy usage to carbon emissions.
We calculate equivalent trees needed (21 kg CO₂/tree/year) or trash collection impact (3 kg CO₂ prevented per kg plastic).
These calculations are estimates based on publicly available research. Actual energy consumption varies based on data center efficiency, renewable energy usage, and specific model implementations.
Start planning your next marine wildlife adventure with Voyatlas. Launch the app to join the network and start exploring. Have a question? Reach out on social media or email info@voyatlas.com.
Launch App