AI’s dual promise

This global study explores how organizations are using AI to drive sustainability and where action must accelerate. It draws on insights from over 1,200 executives across twenty markers, spanning energy producers (utilities, renewables, infrastructure developers) and major energy consumers (hyperscalers, data center operators, and technology firms), all of whom play a critical role in shaping global energy solutions.

Core themes:

• AI is expanding its climate handprint, powering adaption solutions, enabling greater energy efficiency, biodiversity protection, and circular innovation.
• System-wide transformation: AI is enabling real progress on sustainability across value chains, from manufacturing and transport to agriculture and buildings, and helping to create positive value for companies who are addressing their climate risk exposures.
• Progress is uneven particularly due to challenges in scaling clean energy solutions globally. Infrastructure bottlenecks, policy delays, and financing barriers risk slowing down momentum. The next 24 months, through 2027, will be decisive in closing this gap. 
• Market pull for innovation: AI is growing fast and creating new markets for advanced clean technologies, reducing commercialization cycles from decades to years.