ADNOC Becomes First Energy Company to Run OpenAI Frontier Technology
The multi-year agreement with OpenAI and G42, announced at ADIPEC 2026, puts interconnected AI agents across ADNOC's oil, refining, logistics and trading operations.
ADNOC has signed a multi-year partnership with OpenAI and G42 that makes the Abu Dhabi National Oil Company the first energy company anywhere to deploy OpenAI Frontier technology across its operations. The agreement was announced at ADIPEC 2026 in Abu Dhabi on November 2 and signed in the presence of Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of the Abu Dhabi Executive Council.
The signing coincided with a visit to the UAE by OpenAI chief executive Sam Altman.
Under the deal, ADNOC will run interconnected AI agents across its energy value chain, which stretches from oil production and processing through refining, logistics, sales and trading. The agents are designed to link operational, financial and commercial decision-making rather than leave them in separate silos.
The stack combines OpenAI's advanced GPT models with sovereign AI infrastructure built in the UAE by G42, a local artificial intelligence company, and with ADNOC's own industrial data and operating expertise. Human oversight is retained for critical decisions. G42 supplies the compute and platform layer, OpenAI the models, and ADNOC the field data and context in which the systems have to work.
Two applications first
The first application draws on decades of data from thousands of wells, multiple reservoirs and hundreds of surface facilities. It is built to develop and optimise oilfield master plans in hours rather than months, a task that has historically consumed planning teams for long stretches.
The second uses interconnected agents to analyse crude oil supply, demand, pricing and margins across ADNOC's operations. That lets the company assess the commercial consequences of an operational decision and work toward extracting the most value from its production.
What the two sides say
Dr. Sultan Ahmed Al Jaber, UAE Minister of Industry and Advanced Technology and ADNOC Managing Director and Group CEO, described the shift in terms of what becomes possible, not how fast it happens.
“AI's next frontier is not simply speed but making previously unreachable things possible.”
He said the partnership with OpenAI and G42 connects intelligence across ADNOC's business and pairs world-leading AI with industrial expertise, with the goal of better decisions, greater value and stronger energy security.
“More capable AI can help tackle hard problems, especially around energy.”
Altman said combining frontier AI, sovereign infrastructure and industry expertise will let ADNOC move faster and operate more efficiently, and he framed the first-of-its-kind partnership as an effort to shape the future of AI-enabled energy.
The agreement also covers cybersecurity through OpenAI's Daybreak Blue initiative, joint development of AI solutions across the three organisations, and training for ADNOC's workforce.
Layered on earlier AI spending
The partnership extends work ADNOC has already funded. Its ENERGYai platform sits alongside more than 200 AI applications and 70 robotics use cases that are deployed or under development.
The company has also rolled out ChatGPT Enterprise to more than 40,000 employees, an adoption rate above 97%. ADNOC calls it the largest enterprise deployment of ChatGPT in the Middle East and North Africa.
Oil and gas producers have used AI for years on narrow problems such as equipment maintenance and seismic interpretation. Agents that reach across production, trading and finance raise the stakes, because a decision in one part of the chain now carries a visible commercial result somewhere else. Running the models on UAE-built infrastructure keeps operational data under local control.
ADNOC presents the deal as part of a wider strategy to embed AI across its operations, lift efficiency and hold its position in the global energy industry. The earliest test of whether it delivers will be the master plans, compressed from months into hours.