Latest news with #Aramco
Zawya
an hour ago
- Business
- Zawya
Mideast Stocks: Gulf stocks gain on earnings optimism, ahead of US Fed outlook
Major Gulf equities rebounded in volatile trade on Wednesday as investors shrugged off underwhelming earnings and rotated into selective buying ahead of key corporate results and the U.S. Federal Reserve's policy decision, due later in the day. While the Fed is widely expected to hold interest rates steady, the possibility of dovish dissent has provided a measure of optimism. The Fed's stance holds significant implications for Gulf economies, where most currencies are pegged to the U.S. dollar, making it a key anchor for regional monetary stability. Saudi Arabia's benchmark index <.TASI> picked up 0.8% driven by broad sector gains and investor enthusiasm ahead of major earnings announcements from SABIC < and Aramco < due next week. Halwani Brothers < showed sharp intraday volatility, dropping nearly 5% after reporting a significant quarterly profit decline, before rebounding to close up by over 4%, reflecting a mix of sell-offs, bargain hunting and short-covering. Dubai's benchmark index <.DFMGI> rose 0.5% to hit over a 17-1/2-year high, logging its sixth straight session of gains, as hopes remain high ahead of key earnings, mainly from the real estate sector. Gains were driven by a 1.5% jump in toll operator Salik maintaining the same stretch of wins. The Abu Dhabi index <.FTFADGI> gained 0.1%, lifted by selective buying amid a mixed but largely encouraging earnings season. ADNOC Drilling advanced 1%, boosted by solid growth and a confident full-year outlook. Shares of Emirates Telecommunications Group(e&) added nearly 1.5%, as the telecom giant is slated to report its quarterly earnings on Thursday. Qatar's stock index <.QSI> bounced back 0.1%, recovering from two sessions of profit-taking, as optimism builds ahead of heavyweight earnings announcements. Beyond earnings, market sentiment remains focused on global trade developments ahead of the August 1 U.S. tariff deadline. Following two days of negotiations, the U.S. and China agreed to seek an extension of their 90-day tariff truce, set to expire on August 12. Meanwhile, South Korea was also lobbying to secure a trade deal as its officials met U.S. Commerce Secretary Howard Lutnick in Washington. While concerns linger over the impact of tariff policies on global growth and energy demand, the latest developments have helped bolster confidence in the resilience of oil-dependent Gulf economies. Outside the Gulf, Egypt's blue-chip index <.EGX30>, eased 0.7%, as investors locked in profits following a recent record peak. Talaat Moustafa Group fell 1.1%. (Reporting by Amna Mariyam in Bengaluru; Editing by Vijay Kishore)
Web Release
5 hours ago
- Business
- Web Release
Aramco and Arthur D. Little Release Insights on Leveraging AI for Carbon Market Integrity in FII Institute's White Paper
The Future Investment Initiative (FII) Institute, in collaboration with Aramco and Arthur D. Little (ADL), announces the release of a white paper titled 'AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry.' The publication explores how artificial intelligence (AI) could improve transparency, accuracy, and efficiency in the voluntary carbon market, offering practical guidance for organizations working to meet carbon emissions reduction targets. Addressing evolving challenges in the carbon market, such as project identification, cost overruns, and regulatory as well as market complexities, the white paper emphasizes AI as a tool for overcoming issues like pricing transparency and the risk of greenwashing. It highlights AI's potential to contribute to enhancing the breadth, consistency, and integrity of carbon credits, with the aim of providing companies with greater confidence and precision in pursuing carbon emissions reduction. Key Insights from the White Paper The publication identifies four primary ways AI could help advance the voluntary carbon market: Carbon quantification: AI technology could have the potential to enhance the precision of carbon sequestration measurements, allowing for more accurate assessments of project impacts and better prioritization. Transparency: AI is expected to enable real-time monitoring of carbon offset projects, providing verified emissions data that could contribute to building stakeholder trust. Integrity: The use of AI may mitigate the risk of greenwashing by identifying discrepancies between reported and actual carbon reductions, which could help bolster the credibility of carbon credits. Pricing forecasting: AI-driven models could offer dynamic, data-based valuations for carbon credits, with the aim to support market participants in making well-informed decisions. Musaab M. Al Mulla, Aramco Vice President of Market Analysis and Sustainability, said: '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 organizations 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, said: 'AI's role in carbon markets is essential for organizations 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, said: '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 organization focused on making credible, impactful advances in carbon emissions reduction through AI-driven carbon markets.' Opportunities and Challenges in Carbon Markets With AI solutions in place, organizations could address market challenges such as inconsistent policies, budget overruns, and lack of pricing transparency. The insights offered here are expected to provide a strategic guide for entities participating in voluntary carbon markets, with the aim of enhancing their ability to meet sustainability goals within an evolving regulatory landscape. For more detailed insights, the full white paper ('AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry') is available for download here.
Arabian Post
6 hours ago
- Business
- Arabian Post
AI Transforming Carbon Markets with Enhanced Efficiency
Greenlogue/AP The Future Investment Initiative Institute, in collaboration with Saudi oil giant Aramco and global consultancy firm Arthur D. Little, has released a comprehensive white paper focused on leveraging artificial intelligence to revolutionise the voluntary carbon market. The paper, titled 'AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry,' explores the vital role AI could play in improving transparency, accuracy, and efficiency within the sector, providing a robust framework for businesses and governments aiming to meet global sustainability targets. The voluntary carbon market has long faced challenges such as inconsistent project costs, fragmented regulatory frameworks, and the risk of greenwashing, where organisations claim more environmental benefits than their actions warrant. These issues have hindered the ability of corporations and governments to invest confidently in carbon reduction projects. AI promises to address many of these challenges by enhancing the validation process for carbon credits and offering more precise data on the effectiveness of various carbon-reducing initiatives. ADVERTISEMENT According to the white paper, AI technologies can optimise the entire lifecycle of carbon credits, from the verification of emission reductions to the issuance of carbon credits. This would significantly reduce operational costs, which have traditionally been a barrier for small and medium-sized enterprises trying to participate in carbon offset programs. Moreover, AI-driven systems can help in validating carbon sequestration efforts and the permanence of stored carbon, ensuring that credits are both legitimate and impactful. AI's potential extends beyond streamlining administrative processes. The paper highlights the role of machine learning in predictive analytics, which could enable more accurate forecasting of future carbon credits. By analysing vast amounts of data—from satellite images to historical emission patterns—AI systems can help estimate more precisely how much carbon a given project will offset. This shift would make it easier to scale projects and allocate resources effectively, improving both the credibility and market appeal of carbon credits. A significant portion of the white paper also delves into how AI could standardise carbon credit measurement and certification processes across diverse regions. With carbon markets operating under varying regulations globally, businesses often face uncertainty regarding the validity of credits purchased in different jurisdictions. AI could harmonise these standards by automating the verification process, ensuring that carbon credits are consistent and meet universally accepted criteria. This would reduce the confusion surrounding cross-border transactions and give more assurance to investors, who are increasingly demanding transparent, verifiable data. The growing concern over greenwashing, where organisations misrepresent their environmental efforts to appeal to consumers and investors, is another area where AI could play a crucial role. Machine learning algorithms can monitor carbon offset projects in real-time, cross-referencing data from multiple sources to ensure the information provided to the public is accurate. AI could also analyse the environmental integrity of carbon projects, flagging any discrepancies or issues with claims of carbon sequestration. This could be a game-changer for investors who are looking for verifiable, trustworthy carbon credits rather than those tainted by potential fraud. As the paper suggests, one of the key benefits of adopting AI in the voluntary carbon market is the ability to enable scalable solutions. For instance, by reducing the reliance on expensive third-party verification services, AI can allow smaller businesses and governments to enter the market and pursue their sustainability goals without being burdened by prohibitive costs. This democratisation of carbon credits could stimulate more widespread adoption and make the transition to a low-carbon economy more achievable for organisations of all sizes. ADVERTISEMENT The paper outlines several specific AI-driven innovations that could transform the voluntary carbon market. These include the integration of blockchain technology with AI to enhance traceability, the use of AI for real-time monitoring of carbon offset projects, and the development of AI-powered platforms for tracking emissions reductions across supply chains. These tools would not only improve the efficiency of carbon credit trading but also create a more interconnected ecosystem where all stakeholders—from businesses to consumers—can easily track the environmental impact of their actions. The partnership between the FII Institute, Aramco, and ADL underscores the increasing importance of AI in the energy and environmental sectors. As companies face mounting pressure to reduce their carbon footprints, the need for robust, scalable solutions that can deliver both financial and environmental value has never been greater. The use of AI in carbon markets represents a strategic move to meet these demands while addressing key barriers to market entry and growth.
Gulf Business
7 hours ago
- Business
- Gulf Business
FII Institute, Aramco, and ADL release guide on AI for carbon markets
Image: Getty Images 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: Carbon quantification: AI can improve the precision of measuring carbon sequestration, enabling better evaluation of project outcomes and more effective decision-making. Transparency: Real-time AI-powered monitoring can provide verified emissions data, increasing trust among stakeholders. 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. 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: 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 [
Mid East Info
9 hours ago
- Business
- Mid East Info
Aramco and Arthur D. Little Release Insights on Leveraging AI for Carbon Market Integrity in FII Institute's White Paper
Riyadh, Saudi Arabia, 30 July, 2025.: The Future Investment Initiative (FII) Institute, in collaboration with Aramco and Arthur D. Little (ADL), announces the release of a white paper titled 'AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry.' The publication explores how artificial intelligence (AI) could improve transparency, accuracy, and efficiency in the voluntary carbon market, offering practical guidance for organizations working to meet carbon emissions reduction targets. Addressing evolving challenges in the carbon market, such as project identification, cost overruns, and regulatory as well as market complexities, the white paper emphasizes AI as a tool for overcoming issues like pricing transparency and the risk of greenwashing. It highlights AI's potential to contribute to enhancing the breadth, consistency, and integrity of carbon credits, with the aim of providing companies with greater confidence and precision in pursuing carbon emissions reduction. Key Insights from the White Paper The publication identifies four primary ways AI could help advance the voluntary carbon market: Carbon quantification: AI technology could have the potential to enhance the precision of carbon sequestration measurements, allowing for more accurate assessments of project impacts and better prioritization. Transparency: AI is expected to enable real-time monitoring of carbon offset projects, providing verified emissions data that could contribute to building stakeholder trust. Integrity: The use of AI may mitigate the risk of greenwashing by identifying discrepancies between reported and actual carbon reductions, which could help bolster the credibility of carbon credits. Pricing forecasting: AI-driven models could offer dynamic, data-based valuations for carbon credits, with the aim to support market participants in making well-informed decisions. Musaab M. Al Mulla, Aramco Vice President of Market Analysis and Sustainability, said: '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 organizations 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, said: 'AI's role in carbon markets is essential for organizations 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, said: '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 organization focused on making credible, impactful advances in carbon emissions reduction through AI-driven carbon markets.' Opportunities and Challenges in Carbon Markets With AI solutions in place, organizations could address market challenges such as inconsistent policies, budget overruns, and lack of pricing transparency. The insights offered here are expected to provide a strategic guide for entities participating in voluntary carbon markets, with the aim of enhancing their ability to meet sustainability goals within an evolving regulatory landscape. For more detailed insights, the full white paper ('AI-Enabled Carbon Markets: Identifying AI Solutions for the Voluntary Carbon Industry') is available for download here.
