Key Findings from the Report “Intelligent energy: A blueprint for creating value through AI-driven transformation :
- Experimentation for breakthroughs is a critical investment area with 92 per cent believing that organisations that embrace AI will develop a competitive edge over those that do not
- 96 per cent are investing in future-focused projects without the expectation of immediate returns
- 71 per cent view sustainability as a more important strategic goal than AI
- Respondents view AI as a key enabler of operational streamlining, with 79 per cent of companies already reporting measurable efficiency improvements and 60 per cent seeing ROIs greater than 10 percent.
- The duality of energy creation and environmental impact is a key consideration with 63 per cent struggle to balance AI use with sustainability goals
- Organizational hurdles are hindering AI’s full-scale adoption. Industry respondents cite insufficient data management, governance, investment and prioritization resulting in data quality issues (58 per cent); regulatory complexities (38 per cent); and budget constraints (37 per cent) as key challenges. There is also a lack of connection and integration between teams charged with improving data and teams developing AI. Only 13 per cent of energy companies currently operate an AI Center of Excellence, with AI leadership fragmented across IT (20 per cent) or a combination of IT and business functions (34 per cent)
Access the report here
