Over the next several years, two global megatrends will shape our future: the energy transition and digitalization. The world faces an urgent challenge on how to tackle climate change and move toward a net-zero emissions energy system while also meeting the rising demand for energy.

As the world intensifies efforts to decarbonize and shift to renewable energy systems, the notion of a Just Energy Transition (JET) is gaining prominence. JET goes beyond carbon reduction; it ensures that the transition is inclusive, equitable, and sustainable, especially for workers, communities, and nations that are currently dependent on fossil fuels. 

Digitalization and Artificial Intelligence (AI) have emerged as pivotal enablers in this process. From optimizing energy systems and forecasting demand to expanding access in underserved communities, these tools can dramatically enhance the speed, scale, and fairness of the energy transition. They can also enable more accurate GHG emissions tracking transparent reporting across supply chains and can also enable more effective monitoring of carbon offsets. However, their deployment must be deliberately inclusive, avoiding the risk of digital exclusion or inequitable outcomes.

This session will address the question of “Can digitalization and AI accelerate the energy transition?" It will also present real-world examples, covering diverse areas including rural energy access initiatives, policy transformation efforts, energy optimization, and large-scale renewable energy projects. The discussion will examine collaborative approaches between public sector leaders, technology companies, international organizations, and community-based groups to develop AI-powered energy solutions that prioritize universal access and equity, especially for populations historically excluded from energy development.