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    Home » FII Institute, Aramco, and ADL release guide on AI for carbon markets
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    FII Institute, Aramco, and ADL release guide on AI for carbon markets

    Arabian Media staffBy Arabian Media staffJuly 30, 2025No Comments3 Mins Read
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    Saudi Arabia plans Aramco share sale as soon as June

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    The Future Investment Initiative (FII) Institute, in partnership with Aramco and global consultancy Arthur D. Little (ADL), has released a white paper titled “AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry.” The paper explores how artificial intelligence (AI) can enhance transparency, accuracy, and operational efficiency in the voluntary carbon market, while offering actionable guidance for organisations committed to reducing carbon emissions.

    Amid growing pressure to meet sustainability goals and an increasingly complex carbon market landscape, the white paper examines how AI can address common challenges including high project costs, inconsistent regulations, and concerns over greenwashing. It also underscores the potential of AI to strengthen the credibility and consistency of carbon credits, empowering businesses to pursue carbon reduction strategies with greater confidence.

    Four key areas where AI could transform the voluntary carbon market

    The white paper outlines four principal ways AI can help advance the voluntary carbon ecosystem:

    1. Carbon quantification:
      AI can improve the precision of measuring carbon sequestration, enabling better evaluation of project outcomes and more effective decision-making.

    2. Transparency:
      Real-time AI-powered monitoring can provide verified emissions data, increasing trust among stakeholders.

    3. Integrity:
      AI tools can help detect discrepancies between reported and actual emissions reductions, reducing the risk of greenwashing and enhancing the credibility of carbon credits.

    4. Pricing forecasting:
      Advanced AI models can support dynamic pricing for carbon credits based on real-time data, helping market participants make informed investment decisions.

    Industry leaders highlight AI’s potential

    Musaab M. Al Mulla, Aramco vice president of Market Analysis and Sustainability, stated: “We see the voluntary carbon markets as a unique and important lever in supporting a practical and orderly energy transition. However, for the market to reach its considerable potential to mitigate carbon emissions at scale, a number of key challenges will need to be addressed. This white paper showcases AI’s potential role in helping to make carbon markets more transparent and efficient. Integrating AI could support organisations in enhancing the reliability and accountability of their carbon emissions reduction efforts.”

    Carlo Stella, managing partner and global practice leader for the Sustainability Practice at Arthur D. Little, added: “AI’s role in carbon markets is essential for organisations aiming to achieve meaningful and measurable progress. This white paper highlights AI’s potential to improve accuracy in carbon reduction measures, a critical factor to improve confidence among adopters.”

    Richard Attias, CEO of FII Institute, noted: “Our collaboration with Aramco and Arthur D. Little reflects a shared goal of leveraging technology to enhance efficiency. This publication is a vital resource for any organisation focused on making credible, impactful advances in carbon emissions reduction through AI-driven carbon markets.”

    Read: AI talent race: Where do Saudi and UAE stand in global top 20?

    Guiding sustainability efforts through AI innovation

    The report arrives at a pivotal time as organisations seek scalable solutions to meet emissions reduction targets. With AI’s ability to tackle pricing opacity, policy inconsistencies, and rising project costs, the white paper serves as a strategic roadmap for those participating in voluntary carbon markets.

    The full white paper, “AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry”, is available for download [here].





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