The joint report by ADNOC, XRG, and Microsoft connects the accelerating adoption of intelligent agents and robotics in the energy sector with the urgent need to modernize electrical grids.
Findings of the third edition of the Empowering Capabilities report and executive priorities
Rising spending and the expansion of agentic workflows and field robotics
The tension between AI growth and electrical grid capacity by 2030
Guidelines for reading funded studies and operational verification requirements
Frequently asked questions
Findings of the third edition of the Empowering Capabilities report and executive priorities
The Abu Dhabi National Oil Company (ADNOC) and XRG, in collaboration with Microsoft, published the third annual edition of the “Empowering Capabilities” report, titled “Energy Resilience in the Age of Intelligence,” on October 29, 2026, according to the Emirates News Agency (WAM) in both Arabic and English.
The survey included nearly 400 senior executives in the energy and financial sectors and concluded that 62% of participants currently rank artificial intelligence among their top two institutional priorities, up from 42% in 2025. These figures reflect respondents’ answers to a specific survey and are not audited adoption or productivity outcomes across all energy companies.
Rising spending and the expansion of agentic workflows and field robotics
According to the report, 89% of participants increased AI spending over the past year, and 63% projected that current investment returns would cover or exceed their costs—a metric of expectations rather than a guaranteed return.
The share of organizations reporting integrated agentic workflows rose from 15% to 33%, while isolated experiments dropped from 35% to 15%. In the energy sector specifically, 60% stated they are experimenting with or deploying autonomous or robotic systems in field operations.
The tension between AI growth and electrical grid capacity by 2030
The survey also highlighted a clear tension between AI deployment and power availability, with approximately 74% predicting that AI will drive up electricity demand by 2030, but only 52% expressing confidence in current infrastructure’s ability to meet additional needs.
Participants prioritized grid upgrades and smart grid investments followed by storage systems, views that underscore concerns rather than technical forecasts for specific megawatt deficits.
Guidelines for reading funded studies and operational verification requirements
The study links AI adoption in the energy industry with the simultaneous need to supply the computing industry with reliable electricity, noting that AI is being evaluated to boost operational resilience rather than simply cut costs.
However, research backed by commercially interested institutions requires transparent disclosure and caution regarding causal claims, and subsequent evidence will include measured operational results and independently evaluated field projects.
When analyzing the industrial AI, energy, robotics, and institutional research sectors in the United Arab Emirates, the third annual report “Empowering Capabilities: Energy Resilience in the Age of Intelligence” issued by ADNOC, XRG, and Microsoft highlights the interrelationship between digital transformation and energy security.
While the survey of nearly 400 senior executives showed a rise in those placing AI in their top two priorities to 62%, an 89% increase in spending, an expansion of integrated agentic workflows to 33%, and robotic systems trials by 60% of energy companies, a clear gap emerged between 74% anticipating increased electricity demand by 2030 and only 52% expressing confidence in current grids, calling for an awareness of the survey methodology when reading these results.
Objective analysis of the Emirates News Agency reports in Arabic and English on October 29 confirms that the expectation among 63% of participants to cover their investment costs represents a measure of managerial aspirations rather than audited financial returns, and that combining experimental and deployment categories for robotic systems requires field monitoring to determine the actual number of systems operating at a full industrial scale.
As part of the editorial guidelines for regional coverage in the United Arab Emirates on October 29, 2026, the release of the third edition of the “Empowering Capabilities: Energy Resilience in the Age of Intelligence” report by ADNOC, XRG, and Microsoft represents a new institutional research disclosure published in Arabic and English via WAM. Scientific methodology in reading this report demands a precise distinction between the views and expectations of the nearly 400 surveyed executives concerning spending priorities, return on investment, and future electricity demand, and independently audited financial and operational data, especially since the study is sponsored by major enterprises with direct strategic and commercial interests in the energy and cloud computing sectors.
Frequently asked questions
Question: What percentage of energy leaders place AI among their top two priorities in the 2026 report?
Answer: The Empowering Capabilities report issued by ADNOC, XRG, and Microsoft showed that 62% of leaders rank AI in their top two priorities, up from 42% in 2025.
Question: How did the proportion of integrated agentic workflows change compared to isolated experiments?
Answer: The percentage of organizations implementing integrated agentic workflows rose from 15% to 33%, while isolated experiments fell from 35% to 15%.
Question: What did the survey reveal regarding electricity demand and infrastructure by 2030?
Answer: 74% of participants projected that AI will increase electricity demand by 2030, while only 52% expressed confidence in current infrastructure’s ability to meet demand.
Question: How many senior executives were included in the survey?
Answer: The study included nearly 400 senior executives across the energy and finance sectors.
