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June 7, 2026Open Access

The Environmental Cost of Innovation: Balancing Corporate Carbon Neutrality Objectives with AI Integration

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Authors

DWDr. Wafiya Wahid Wadasadawala

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Overview

Randomized trial examines AI's carbon footprint in tech and finance firms, highlighting the need for improved sustainability measures.

Key Points

  • This research aims to evaluate the carbon footprint of Generative AI and assess the effectiveness of current carbon neutrality measures.
  • Analyzed simulated energy consumption data from 50 top tech and finance organizations (2023-2026).
  • Compared energy use and emissions reductions between Carbon-Aware Scheduling and carbon offsets.
  • Emphasized algorithmic and infrastructure efficiency for sustainable AI implementation.
  • AI inference accounts for 88% of total AI-related energy use.
  • Companies using Carbon-Aware Scheduling reduced Scope 2 emissions by 22% on average.
  • Firms relying on carbon offsets saw only a 5% reduction in emissions.

Cite This Study

Dr. Wafiya Wahid Wadasadawala (2026) studied this question.

synapsesocial.com/papers/6a250ce97def13d035e1d20fhttps://doi.org/10.5281/zenodo.19367975
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