“You can't run critical  infrastructure from a spreadsheet. The physical world is messy and constantly changing. Physical Intelligence gives operators a way to create superior intelligence across their assets, often in places that are difficult Physical or dangerous to access. Intelligence It's about having the data to understand the at ADNOC readiness of your infrastructure so you Across ADNOC’s operations make the right decisions. predictive systems already read In energy, that means thousands of critical assets fewer surprises, stronger around the clock. Robots and resilience, and more | drones are inspecting facilities, | confidence in the systems | | monitoring pipelines, detecting | the world counts on. | | emissions and responding to | Because if it isn't ready, | | incidents across land, sea and | it doesn't count.” | | air, in the places hardest and | | Jake Loosararian | | least safe for people to reach. | | CEO, Gecko Robotics | | In partnership with world- | | leading technology vendors, | | tank climbing robots, aerial | | drones, underwater vessels | | and hazardous-area machines | | have taken over high-risk work. | | Autonomy extends the reach of | | skilled teams, freeing them to | | take on more high-value roles. | | Figure 8 | | A majority of energy stakeholders are piloting | | or deploying autonomous robotic systems | | Physical intelligence in the field | | 24% | 25% | | Operating as a connected | | layer where AI decision-making | | leads to autonomous actions | | 30% | | 6% | Industry & | 5% | Finance & | Using routinely for defined tasks | | 4% | sector peers | 4% | investment leaders | 53% | Not yet using in physical operations | Piloting in isolated, single-task settings 13% Don’t know 36% Powering Possible 2026 25