The rise of artificial intelligence is expanding rapidly, but it comes with an environmental cost as energy consumption grows with AI usage.
Technology expert Jan Čurn suggests methods to reduce AI's carbon footprint, such as optimizing prompt efficiency and minimizing non-essential language.
Complex interactions with AI and the use of unnecessary words contribute to increased energy consumption in AI systems.
Developing more efficient AI platforms and promoting organizational awareness of AI sustainability practices are crucial in reducing AI's environmental impact.