Convergence transformation In a world where energy efficiency and sustainability are increasingly important, next-gen energy convergence plays a crucial role in advancing the energy transition across industries. These combinations enable organizations to extend their value chain footprint, anticipating future energy challenges of our world and strengthening their competitive advantage. AI, for example, plays a pivotal role in this transition by managing energy with intelligence. The widespread adoption of intelligent grid systems by companies demonstrates their importance as a prerequisite for integrating large-scale renewable energy systems. These smart grids not only enhance the efficiency of energy distribution but also mitigate the risks associated with energy supply chains. There is a shift from investment in capital-intensive, large energy infrastructure to more integrated smart energy platforms that combine AI with technologies such as omni compute, robotics, engineering biology and spatial intelligence. As energy technology components grow increasingly complex, investment in custom-built maturity sentiment levels technologies could significantly accelerate the emergence of new combination patterns. These investments are expected to drive significant progress in energy solutions. Private markets are playing a pivotal role in scaling these next-gen energy solutions. By combining capital, commercial expertise and operational knowledge with corporate and institutional investments, they are unlocking new value creation models and expanding the broader energy ecosystem. Ultimately, the convergence of advanced energy technologies is transforming value chains far beyond the utility sector. The integration of physical infrastructure with digital intelligence is reshaping how energy is generated, distributed and consumed, paving the way for resilient, adaptive and sustainable energy systems of the future. CASE STUDY 10 Saudi Aramco By incorporating AI, blockchain and digital twins, Saudi Aramco is developing advanced solutions tailored to facility monitoring, predictive maintenance, autonomous drone operations and intelligent grid systems, contributing to greater operational efficiency, reliability and sustainability. The benefits of these technological advancements minimize its carbon footprint while enhancing operational efficiency. Intelligent grid for real time optimization Aramco’s intelligent grid uses AI, blockchain and edge computing for real-time energy optimization and fault detection. In partnership with Microsoft and Armada, it launched containerized edge data centres to scale AI- driven energy efficiency and digital transformation. Digital transformation for downstream operations Following its acquisition of SABIC, Aramco integrated digital twins, blockchain to map Scope 3 emissions and edge control across plants. This fusion improved process optimization, reduced emissions and enhanced agility in industrial operations across global chemicals and materials markets. Technology Convergence Report 48

Technology Convergence Report 2025