- 850 experts contributed to the report, including OpenAI and TotalEnergies.
- Since 2024, 90% of companies increased AI investment, with 73% deploying it widely.
- AI's greatest impact is expected in energy distribution and emerging solutions.
- Cybersecurity, data quality, and talent are top requirements for AI deployment.
AI Adoption in Energy Sector
The Powering Possible report by ADNOC and Microsoft highlights AI's growing role in the energy sector. Contributions from over 850 global experts, including OpenAI and TotalEnergies, reveal a shift from AI interest to active deployment. Nearly 90% of surveyed companies have increased AI investment since 2024, with 73% deploying AI across various functions.
Impact and Applications
AI is transforming energy distribution and emerging solutions, with applications in predictive maintenance, smart grid management, and real-time demand forecasting. The report indicates that AI is no longer a future prospect but a current asset, with one in five companies using agentic AI for complex decision-making.
Challenges and Requirements
Key challenges in AI deployment include cybersecurity, data quality, and a shortage of skilled talent. Cybersecurity has become the top consideration, surpassing cost concerns. The integration of AI into legacy systems and the sector's slower innovation cycles further complicate adoption.
Strategic Priorities
Investments in grid modernization, energy storage, and advanced materials are crucial to meet AI's growing demands. The report emphasizes the need for industrial leadership and technological innovation to unlock AI's full value in energy. As AI adoption scales, access to reliable and sustainable energy becomes a strategic priority, highlighting the interdependence of AI and energy.
