How artificial intelligence impacts the carbon footprint of tech companies

The rapid spread of artificial intelligence has led to a significant increase in energy consumption and carbon emissions, especially as major tech companies expand their development of AI models and grow their cloud data centers. According to reports from 2023 and 2024, Google's emissions rose by approximately 13% to around 14.3 million tons of CO2 equivalent, while Amazon's emissions reached about 68.8 million tons. There is heavy reliance on model training processes and the use of electronic chips that require immense amounts of energy and water resources. Despite companies’ investments in renewable energy, a large part of the carbon footprint stems from indirect emissions, such as chip manufacturing and data center production. Additionally, some companies resort to traditional energy sources to ensure network stability, which complicates efforts to achieve carbon neutrality goals. Experts aim to develop more efficient models and modern technologies to reduce energy consumption, but the challenge lies in balancing technological advancement with environmental sustainability.

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