Global study shows energy industry ramping up investment in autonomous operations by 2030 as AI reshapes performance

Core Insights - The urgency for advancing autonomy in the energy and chemicals sector is increasing, with 31.5% of executives identifying it as a 'critical' priority for the next five years, rising to 44% over the next decade [2][3] Group 1: Industry Trends - A significant 59% of executives warn that delaying the adoption of autonomous operations could lead to higher operating costs, while 52% cite worsening talent shortages and 48% mention declining competitiveness as risks [3] - The sector is at a transformative point due to the convergence of electrification, automation, and digitalization, with electricity demand projected to nearly double to 1,000 TWh by 2030 [4] - The current global average maturity level for autonomy in the sector is reported at 3.52 out of 5, indicating approximately 70% autonomy, with ambitions to reach 4.02 (approximately 80% autonomy) by 2030 [15] Group 2: Adoption Barriers and Enablers - Key barriers to adoption include high upfront costs (34%), legacy systems (30%), organizational resistance (27%), cybersecurity concerns (26%), and regulatory uncertainty (25%) [3] - AI is identified as the most significant enabler of autonomous acceleration by 49% of executives, followed by advancements in cybersecurity, cloud and edge computing, and digital twins [5] Group 3: Regional Insights - The Gulf Cooperation Council (GCC) and Asia currently lead in maturity levels for autonomous operations, while North America is expected to experience the fastest acceleration in adoption over the next five years [9] - Europe is making steady progress but is projected to have the slowest adoption trajectory [9] Group 4: Real-World Applications - Schneider Electric is actively supporting companies like Shell and European Energy in deploying autonomous operations, showcasing advancements in open, software-defined automation and AI-supported clean-fuel operations [10]