瓦特和机器人:采用人工智能对能源的影响

Anthony Harding, Juan Moreno-Cruz
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摘要

随着人工智能的迅猛发展,人们预期生产力的提高会相应地扩大经济活动,能源消耗及其相关的环境后果(如二氧化碳排放)也会随之增加。在此,我们结合经济活动数据,以及对各职业和行业可能采用人工智能的早期估计,估算出美国经济在行业层面和总体上的能源使用和二氧化碳排放量的增加。在行业层面,能源使用量每年会增加 0 到 12 PJ,而排放量则会增加 47 吨 CO$_2$ 到 272 千吨 CO$_2$。将美国经济中的各行业汇总起来,每年能源消耗共增加 28 千兆焦耳,约占美国每年能源使用量的 0.03%。我们发现,这意味着二氧化碳排放量每年增加 896 千吨 CO$_2$,约占美国每年 CO$_2$ 排放量的 0.02%。
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Watts and Bots: The Energy Implications of AI Adoption
With the rapid expansion of Artificial Intelligence, there are expectations for a proportional expansion of economic activity due to increased productivity, and with it energy consumption and its associated environmental consequences like carbon dioxide emissions. Here, we combine data on economic activity, with early estimates of likely adoption of AI across occupations and industries, to estimate the increase in energy use and carbon dioxide emissions at the industry level and in aggregate for the US economy. At the industry level, energy use can increase between 0 and 12 PJ per year, while emissions increase between 47 tCO$_2$ and 272 ktCO$_2$. Aggregating across industries in the US economy, this totals an increase in energy consumption of 28 PJ per year, or around 0.03% of energy use per year in the US. We find this translates to an increase in carbon dioxide emissions of 896 ktCO$_2$ per year, or around 0.02% of the CO$_2$ emissions per year in the US.
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