More efficient processors: the tech industry's bid to curb AI's energy consumption
The rise of artificial intelligence and of electronic device features has put energy consumption at the center of the technology industry. According to the International Energy Agency, data centers consumed about 415 TWh in 2024, 1.5% of global electricity, and that demand could reach 945 TWh by 2030. Manufacturers such as MediaTek are targeting processors that split tasks between CPU, GPU and neural units, and running AI models on the device itself.
In 40 seconds
- The IEA estimates data centers used about 415 TWh in 2024, 1.5% of global electricity consumption, and projects 945 TWh by 2030.
- The industry is developing processors that distribute tasks among CPU, GPU and neural processing units (NPU) to avoid unnecessary energy use.
- Running AI models directly on the device can reduce reliance on external servers and data transmission.
IASummary generated by artificial intelligence from a story by El Tiempo. It may contain errors: the original source prevails.




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