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AI adoption may increase global emissions, study finds

By PulseAugur Editorial · [1 sources] ·

A new peer-reviewed study utilizing energy-economic modeling indicates that the adoption of AI in both fossil fuel and renewable energy sectors results in a net increase in global emissions. The research found that AI applications within the fossil fuel industry contribute more to emissions than the emissions avoided by AI in the renewable energy sector. This imbalance could lead to an annual rise in global emissions of up to 1.8 gigatons. AI

IMPACT AI adoption in energy sectors may lead to increased global emissions, necessitating a re-evaluation of its climate benefits.

RANK_REASON The cluster reports on a new peer-reviewed study. [lever_c_demoted from research: ic=1 ai=0.4]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI adoption may increase global emissions, study finds

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The cluster reports on a new peer-reviewed study. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    # AI # tech A new peer-reviewed study, using energy-economic modeling, finds that when AI is adopted at similar rates across fossil fuel and renewable energy se

    # AI # tech A new peer-reviewed study, using energy-economic modeling, finds that when AI is adopted at similar rates across fossil fuel and renewable energy sectors, its fossil fuel applications enable more emissions than its renewable energy applications avoid https://www. einn…

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