• Standards make coordination possible. The connections between assets, companies and markets warrant deliberate investment. Shared standards, trusted data exchange and agreements for coordinated action should form part of building a more capable energy system. • Accountability remains with people. Progress should be assessed through the work people and intelligent systems can complete responsibly together. Agentic workflows and physical intelligence will require usable data, skilled teams, clear authority and human oversight where decisions carry operational consequence. • Resilience means keeping options open. The ambition should be to preserve reliable supply as conditions change: seeing pressure earlier, retaining workable alternatives and responding with greater confidence. AI business cases should make these capabilities visible alongside financial and operational returns. The report points to a clear conclusion: AI creates the most value when it expands the energy sector’s capacity to adapt. That value depends on better models and more use cases, but also on the practical requirements that allow AI to operate safely, reliably and at scale. The findings point to five priorities: • Power and intelligence should be built together. Fuel supply, transportation and storage, generation, electricity networks and digital capability should be planned and financed as a connected investment agenda. This would link the dependable energy required by AI with the intelligence intended to strengthen energy supply. • Trust has to be designed into the system. Security, reliability, transparency and accountability should be treated as operating requirements, not afterthoughts. As AI begins to coordinate decisions across assets and borders, confidence will depend on knowing how systems act, who has authority and where responsibility sits. “AI gives us an opportunity  to unlock much more What AI requires to scale value from the expertise, data and technology we already have. At bp, we are seeing how putting better insights into the hands of experienced engineers and operators can improve decisions and performance. Ultimately, AI will be judged by what it delivers: safer, more reliable and more efficient energy.” Meg O'Neill CEO, bp 12