AI Applications for Oil and Gas Companies Worsen Climate Pollution
The “enabled emissions” that come when oil and gas drillers use artificial intelligence to find and exploit new energy reserves are far more damaging to the climate than the emissions that come from the data centers that power AI platforms, a new study by two former Microsoft emp
The study's findings highlight a concerning trend in the oil and gas industry's adoption of artificial intelligence (AI) technology. By using AI to optimize exploration and production processes, companies are able to extract more fossil fuels, leading to increased greenhouse gas emissions. This "enabled emissions" effect far outweighs the emissions produced by the data centers that support AI platforms, underscoring the need for a more comprehensive approach to assessing the climate impact of AI applications.
The oil and gas industry's reliance on AI is part of a broader effort to reduce costs and improve efficiency in the face of declining margins and increasing competition from renewable energy sources. However, this increased use of AI is likely to hinder progress towards reducing global greenhouse gas emissions, which is critical for meeting climate targets. As the industry continues to digitize and automate its operations, it is essential to consider the downstream effects of these technologies on the environment.
To watch next: The study's authors and others will likely face pressure to expand their analysis to other industries that are rapidly adopting AI, such as manufacturing and transportation. Additionally, policymakers and regulators will need to consider how to account for "enabled emissions" in greenhouse gas inventories and climate policies, potentially leading to new requirements for companies to disclose the climate impact of their AI applications.
Originally reported by insideclimatenews.org. ClimateNews adds analysis for climate & energy readers.