BGThe article discusses the potential of artificial intelligence (AI) to significantly reduce operational costs in the energy sector by improving forecasting, renewable energy integration, battery management, and maintenance efficiency. According to a study by EY, AI could cut energy sector expenses by up to 20%. In oil and gas extraction, AI can increase hydrocarbon recovery, predict equipment failures, and prevent costly leaks, potentially saving millions annually. The report also highlights AI’s role in optimizing logistics, reducing transportation costs, and enhancing safety through data analysis. However, the integration of AI faces challenges such as limited data access, weak digital infrastructure, and high energy consumption, with data centers already accounting for 1.5% of global electricity use and growing at 12% annually. The article concludes that realizing AI’s full potential in energy requires collaboration between technology providers, energy companies, and policymakers to ensure sustainable development.
Bias read (Center): The article presents a balanced overview of AI's benefits and challenges within the energy sector without overtly favoring any political ideology. It cites a study by EY as a neutral source and discusses both opportunities and obstacles without taking a clear ideological stance. While the topic has
