The research suggests leaders The challenge for energy leaders “The benefits of  understand both the opportunity is no longer simply generating intelligence must spread as and what is required to capture that and delivering energy efficiently. widely as its influence. value. They see the greatest long- It is building systems that can flex, Responsible adoption term value of AI not at the level of reroute, optimize and adapt in and diffusion of AI takes a single asset or enterprise, but in real time. The organizations that trusted infrastructure, orchestration across organizations succeed will combine physical skilled people and clear and borders. They identify grid infrastructure with digital human accountability. In modernization as the leading intelligence, using AI to move energy, those foundations investment priority to support faster than disruption rather than turn AI advances into AI growth. They place security, merely reacting to it. That will more reliable supply and reliability, transparency and common require trusted data exchange, greater resilience. For the technical standards at the center clear authority, interoperable UAE and G42, leadership of AI governance. They are also systems, physical networks and means working with investing in the skills needed to work hardware that can turn intelligence partners like ADNOC to with more autonomous systems, into operational value. help countries build these while recognizing that accountability capabilities around their cannot be automated. The findings in this year’s report own priorities. A country's describe a sector that has settled starting point should not Building the system the question of whether AI belongs determine its place in the Expectations of AI are therefore in energy and moved on to the intelligence era.” rising faster than confidence in the harder work of making it secure infrastructure on which it depends. and dependable. The next phase Peng Xiao Fifty-nine percent now expect AI to of growth will belong to the CEO, G42 have a large impact on grid capacity organizations and countries that and reliability, up from 45% in 2025. can bring these requirements Yet confidence that existing together. Better models will matter, | infrastructure can meet AI-driven | but stronger systems will matter | | electricity demand remains | more: the power, trust, standards, | | unchanged at 52%. This is one of the | people and resilience needed to | | report’s central tensions: leaders | make intelligence valuable at scale. | | increasingly expect AI to strengthen | | the energy system, while remaining | | divided over whether that system | | is ready to support AI at scale. | | Figure 2 | | Energy leaders still expect AI to increase | | the speed at which the energy sector | | becomes more sustainable | | Impact of AI adoption on sustainability | | 2% | 4% | 2% | 2% | 2% | | 10% | 6%6% | 6% | 5% | 12% | 10% | 18% | 14% | | 4% | 14% | | 17% | | 20% | 22% | 20% | 27% | | 71% | 88% | 85% | 79% | 66% | 65% | 62% | 59% | 2026 overall India Brazil China Japan US UK Germany Increase the speed Have no impact Decrease the speed Don’t know Powering Possible 2026 11