There has been a lot of attention paid to the growing demand for energy needed for the computational power behind generative artificial intelligence and whether that could in turn increase demand for carbon-intensive energy sources until renewables are able to make up the gap. But what about the potential for generative AI to itself play a role in the global energy transition — even speeding it up?
Joseph Webster, a senior fellow at the Atlantic Council Global Energy Center, and Shaheer Hussam, a partner at Aetlan, an energy advisory and analytics firm, explore in a new piece for EnergySource how policymakers, investors and other stakeholders in the energy transition could harness this potential.
Rapidly improving artificial intelligence (AI) capabilities will help accelerate the energy transition. Both established and emergent AI capabilities — such as large language models (LLMs) — can be applied to an array of strategic, technical, financial, and policy challenges posed by decarbonization. It is critical for energy transition stakeholders to monitor, understand, and carefully apply these capabilities to their unique decarbonization challenges, while also addressing the risks involved.
“Generative AI provides a toolkit for decarbonization,” by Joseph Webster & Shaheer Hussam, EnergySource, Atlantic Council Global Energy Center, June 10, 2024.
Read the full article originally published June 10, 2024.
