OpenAI and ADNOC partner to integrate frontier AI into energy operations

A multi-year industrial pact

OpenAI, G42, and ADNOC have signed a multi-year agreement to deploy frontier AI technology across the energy value chain. This collaboration aims to integrate OpenAI's advanced models with the specific industrial records and operational knowledge held by ADNOC. The project will run on sovereign AI computing infrastructure located in the United Arab Emirates and provided by G42.

The partnership represents a significant move to connect intelligence across the entire business of the UAE energy giant. By merging world-leading AI with decades of industrial expertise, the companies hope to unlock greater value and strengthen energy security. Sultan Ahmed Al Jaber, the UAE Industry and Advanced Technology Minister, described the move as a way to make better decisions across the organization.

While the AI will handle complex data processing, ADNOC stated that human specialists will maintain supervision over consequential decisions. This ensures that while the technology provides insights, human oversight remains a requirement for high-stakes choices. The initiative builds upon ADNOC's existing AI infrastructure, which already includes the ENERGYai subsurface platform.

Targeting field master planning

The first primary use case for this initiative involves field master planning. This system will merge subsurface, facility, and economic analyses into a single, unified development-planning procedure. It is designed to streamline how the company plans for future energy production and infrastructure needs.

To achieve this, the AI will utilize decades of data covering thousands of wells, multiple reservoirs, and hundreds of surface installations. It will also incorporate commercial, capital, and expenditure considerations into its planning models. This allows for a more holistic view of what is required to develop energy resources effectively.

By unifying these different types of data, the company can move away from siloed planning processes. The goal is to create a procedure that accounts for both the physical realities of the earth and the financial realities of the business. This integration helps ensure that development plans are both technically feasible and economically viable.

Linking the supply chain

The second primary use case focuses on linking information across a wide range of activities, including refining, processing, production, logistics, sales, and trading. The project will deploy interconnected AI agents to manage these complex moving parts. These agents will project crude oil supply, demand, prices, and margins in real time.

These agents are designed to examine the commercial and operational consequences of choices made at any point in the value chain. For example, a decision in the refining stage can have immediate ripple effects on logistics and final sales. The AI will help staff see these connections more clearly to optimize the entire flow of energy products.

This interconnected approach allows the company to react more quickly to market fluctuations and operational bottlenecks. By using AI to project various scenarios, the company can better prepare for changes in global oil demand or supply constraints. It turns vast amounts of disparate data into a cohesive map of the company's global operations.

Infrastructure and security

A key component of this deal is the use of sovereign AI computing infrastructure provided by G42. Sovereign infrastructure refers to computing resources that are located within a specific country's borders and governed by its laws. This setup allows ADNOC to use OpenAI's frontier models while keeping its sensitive industrial data within the UAE.

The partnership also includes OpenAI's Daybreak Blue initiative, which is specifically designed to bolster cyber defense programs. This part of the deal focuses on identifying vulnerabilities and safeguarding critical energy infrastructure from digital threats. It highlights the importance of security when integrating large-scale AI into essential national assets.

Beyond the technical deployment, OpenAI and ADNOC will co-create specific AI systems and conduct training for the workforce. This collaborative approach ensures that the tools are tailored to the specific needs of the energy industry. It also prepares the employees to work alongside these new technologies effectively.

Adoption and scale

ADNOC is already deeply invested in AI, with upwards of 200 AI applications and 70 robotics use cases currently in development or active operation. The company has already deployed ChatGPT Enterprise to more than 40,000 staff members. This widespread rollout has resulted in an adoption rate of above 97% among those users.

The high adoption rate suggests that the workforce is already accustomed to using generative AI for daily tasks. This existing familiarity provides a foundation for the more complex, industrial-scale applications being launched through this new partnership. It shows a transition from general-purpose AI use to specialized, high-impact industrial applications.

OpenAI CEO Sam Altman noted that this first-of-its-kind partnership would help ADNOC move faster and operate more efficiently. By combining frontier AI with sovereign infrastructure and industry expertise, the goal is to create a more responsive energy enterprise. The success of this multi-year initiative will likely serve as a model for other heavy industries looking to adopt similar technologies.