What challenges did ADNOC face before AI implementation?

Achieve significant, measurable reductions in energy sector carbon emissions. Accelerate deployment of AI for operational efficiency in heavy industries. Align operations with Net Zero by 2045 targets and near-zero methane emissions by 2030. Strengthen environmental protection, including biodiversity monitoring. Enable data centers to operate using renewable energy.

What was the impact of the AI solution?

Abated 1 million tonnes CO2 emissions in 2023. $500 million additional value achieved in one year (2023) via AI-driven efficiencies. AI tools implemented as core enabler for Net Zero by 2045 and methane near-zero by 2030 objectives.

Source

MicrosoftExpanded

ADNOC and Masdar accelerate energy decarbonization and efficiency

Use case typeEnergy operations automationUpdated Jun 13, 2026

ADNOC and Masdar, major energy companies in the UAE, signed a Strategic Collaboration Agreement with Microsoft to drive AI deployment in energy operations with a focus on sustainability and decarbonization. The agreement involves evaluating opportunities to power Microsoft's data centers in the region with renewable energy from Masdar and deploying AI to enhance efficiencies and minimize emissions. Projects span carbon capture and storage, low-carbon ammonia and hydrogen production, and boosting biodiversity monitoring. The article highlights the transformative role of AI in the energy sector, referencing a co-authored industry report and a CEO forum on energy and technology alignment. ADNOC has already used AI tools to abate 1 million tonnes of CO2 in 2023 and claims $500M in value created through efficiency. The companies are aligning efforts with the UAE's Net Zero by 2045 ambition and global methane emission reduction targets. AI is recognized as critical to meeting both energy and sustainability challenges, requiring collaboration across technology, energy, science, and policy.

Organization: ADNOC
Industry: Energy & Utilities
Location: United Arab Emirates
Published: November 2024

Reported outcomes

Strategic outcomes

Ecosystem & partnershipsFormed strategic AI energy partnershipSustainability & ESGEnabled renewable-powered data centersNew product / capabilityDeployed AI across energy operationsSustainability & ESGAdvanced decarbonization and methane goals

Primary read

Use case focus

Showing 3 of 3

1AI-powered energy decarbonization and operations optimization
2Renewable energy integration for data centers
3Methane emissions reduction using machine learning

Achieve significant, measurable reductions in energy sector carbon emissions.
Accelerate deployment of AI for operational efficiency in heavy industries.
Align operations with Net Zero by 2045 targets and near-zero methane emissions by 2030.
Strengthen environmental protection, including biodiversity monitoring.
Enable data centers to operate using renewable energy.

Strategic partnership with Microsoft to deploy Azure AI across ADNOC’s operations.
Use AI tools for optimizing energy processes, reducing methane emissions, and monitoring biodiversity.
Power Microsoft’s local data centers with renewable energy from Masdar.
Advance carbon capture, low-carbon hydrogen, and ammonia projects utilizing AI insights.
Joint industry research and executive alignment to propel AI and energy transitions.

Technologies

Azure AI

Abated 1 million tonnes CO2 emissions in 2023.
$500 million additional value achieved in one year (2023) via AI-driven efficiencies.
AI tools implemented as core enabler for Net Zero by 2045 and methane near-zero by 2030 objectives.

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.