AI can modernize and strengthen the energy sector by enabling better renewables integration, predictive maintenance, and advanced grid modeling to boost reliability and efficiency, with wind and solar output forecasting improving and asset use optimized.

Generative AI can aid design, safety, reporting, and digital twins, supporting complex grid design and modelling and enabling smarter, data-informed decisions to balance reliability with efficiency.

AI drives smarter assets and weather-informed forecasting for renewables, enabling faster, data-driven decisions and improved balance between reliability and efficiency.

Responsible AI is essential, built on governance, fairness, transparency, regulatory alignment, ongoing monitoring for drift, cross-functional involvement, and employee education to ensure ethical deployment.

Ethical and governance emphasis underscores responsible AI with governance, fairness, transparency, compliance, monitoring for drift, cross-functional involvement, and training to enable responsible use.

Bottom line: Responsible AI is essential for trust, innovation, and long-term value in the energy sector and beyond.

Infosys outlines an AI strategy framework with five pillars—Tech Incubation, Platform/Ecosystem, Responsible AI, Right Use Cases, and Reusable Solutions—supported by dedicated strategy and execution pods and a living framework adaptable to regulations and market shifts.

Execution matters: dedicated strategy-and-execution pods rapidly design, test, and scale AI solutions within a flexible framework responsive to regulatory and market changes.

Treat AI as the core of the energy business strategy, anchored in the five pillars for scalable, cross-team reuse of AI capabilities.

Infosys reports more than 60 AI projects across the energy sector, demonstrating broad deployment and impact.

A North American case shows AI for long-term grid forecasting and capital spend decisions delivering 95% load accuracy, multi-million dollar savings, fast multi-horizon forecasting (up to 22 years), and significantly faster processing across assets.

Concrete North American utility deployment achieved high-accuracy load forecasting, tens of millions in savings, rapid horizon forecasts, and accelerated processing across assets.