HackerPapers

arXiv:2409.06626econ.GN

Watts and Bots: The Energy Implications of AI Adoption

Anthony Harding, Juan Moreno-Cruz

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

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.

arXiv comments
10 pages, 3 figures, 2 tables
Journal reference
DOI
Subjects
econ.GNGeneral Economics

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Oct 2024 to Oct 2024. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.