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Published 5 Nov 2024· via adnoc.ae· Press release

ADNOC and Masdar accelerate energy decarbonization and efficiency

ADNOC · Energy & Utilities · United Arab Emirates

Headline result

The source does not publish a single comparable figure. Reported results are listed below.

Summary

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.

The problem

  1. 01Achieve significant, measurable reductions in energy sector carbon emissions.
  2. 02Accelerate deployment of AI for operational efficiency in heavy industries.
  3. 03Align operations with Net Zero by 2045 targets and near-zero methane emissions by 2030.
  4. 04Strengthen environmental protection, including biodiversity monitoring.
  5. 05Enable data centers to operate using renewable energy.

What they built

  1. 01Strategic partnership with Microsoft to deploy Azure AI across ADNOC’s operations.
  2. 02Use AI tools for optimizing energy processes, reducing methane emissions, and monitoring biodiversity.
  3. 03Power Microsoft’s local data centers with renewable energy from Masdar.
  4. 04Advance carbon capture, low-carbon hydrogen, and ammonia projects utilizing AI insights.
  5. 05Joint industry research and executive alignment to propel AI and energy transitions.

Reported results

  1. 01Abated 1 million tonnes CO2 emissions in 2023.
  2. 02$500 million additional value achieved in one year (2023) via AI-driven efficiencies.
  3. 03AI tools implemented as core enabler for Net Zero by 2045 and methane near-zero by 2030 objectives.
  • Formed strategic AI energy partnership
  • Enabled renewable-powered data centers
  • Deployed AI across energy operations
  • Advanced decarbonization and methane goals

Source

adnoc.ae

Press release · 5 Nov 2024 · Published by a vendor

Read the original(opens in a new tab)

How this deployment compares

Computed from the library · data 10 Nov 2026

ADNOC has 3 deployment records in the library, from 2024 to 2025. It is one of 46 energy operations automation deployments, 20 of them in Energy & Utilities. Like 63% of records, its source gives no figure.

ADNOC in the library

3 deployment records from ADNOC, 2024–2025

  1. Nov 2024ADNOC revolutionizes energy sector with ENERGYaiPredictive maintenance
  2. Nov 2024This record · Energy operations automation
  3. Oct 2025ADNOC Drives Predictive Maintenance and Operational EfficiencyEnergy operations automation

Followed upA newer ADNOC record from 2025 is in the library, so the AI program continued after this announcement.

How ADNOC uses AI: company page

Same pattern, whole library

One of 46 energy operations automation deployments

  • Energy & Utilities accounts for 20 of them (43%), more than any other industry.
  • 16 records of this pattern came before it; 17 have been published since.
  • Only 7 of the 46 put a number on the result (15%).
Provider mix
  • Microsoft89%
  • AWS7%
  • GCP7%
Most-used technology
  • Azure AI 12
  • Azure 9
  • Azure OpenAI 7
  • AI 7
  • Copilot 6
  • Microsoft Azure 6

Outlined: used in this record.

Shares describe this library, not the whole market.

Energy operations automation analysis

Results against peers

No figure here. What peers report

Like 63% of records in the library, the source gives no figure. Peers that do quantify similar claims report:

  • Sustainability & resources20 figures, all industries · middle half 20%–30%25%median reduction

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: collected

Source-linked, but not yet corroborated by a primary source.

Named organization
ADNOC
Who published the source
The technology vendor
Deployment status
Production (confidence 95%)
Quantified result
The source reports no figure
Summary checked against source
4 / 5 agreement

Last re-checked 13 Jun 2026.

This record is evidence for

Insight · industryEnergy & Utilities dossierOne of 134 Energy & Utilities deployments. See which patterns dominate there and what they report.Insight · patternEnergy operations automation46 deployments share this pattern. See where it is used and how it is built.Trend · momentumEmerging pattern2 new deployments in the last six months, against 1 in the six before.

Same pattern, other organizations

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    Pilot

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    Production

  4. 6 Nov 2025
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    AI Agent-Driven Intelligent Automation Transforms Energy Operations

    Infosys · Energy operations automation · Microsoft

    Infosys, in partnership with Microsoft, developed an AI agent-powered productivity solution that transforms operations in the energy sector. Leveraging Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, Infosys Topaz, and Infosys Cobalt, the solution turns massive operational datasets into actionable insights for improved safety, reliability, and efficiency. The AI Assistant digests complex reports, images, and tables, providing predictive insights and real-time alerts to operators. This enables faster, data-driven decision-making and automation of repetitive workflow and report generation tasks. Operators can anticipate and avoid potential issues, minimizing non-productive time (NPT) and operational risk. By integrating advanced conversational AI into operational workflows, the solution empowers energy sector companies to unlock new productivity levels. It also improves coordination between engineering, field teams, and back-office operations through consistent, real-time insights accessible through intuitive conversational interfaces. Built atop the Microsoft Cloud and AI stack, Infosys embeds these agentic AI capabilities into their platforms for the energy industry, delivering measurable improvements in key safety and efficiency KPIs.

    AgenticProduction