AI and climate change
Artificial intelligence is reshaping the path to a sustainable future. By optimizing energy systems, improving industrial efficiency, and enhancing climate modeling, AI enables more informed decisions and accelerates the low-carbon transition. Recent advancements, highlighted by the World Economic Forum, show how AI predicts energy demand to integrate renewables seamlessly, reduces reliance on fossil fuels, and helps industries adapt to climate risks. Beyond sustainability, AI-driven solutions unlock economic growth by creating green jobs and fostering innovation. As we tackle the $125 trillion challenge of net-zero goals, AI stands out as a vital opportunity.
Read more here: What is AI's role in the climate transition and how can it drive growth?
The global economy is grappling with intensifying environmental crises, including climate change, biodiversity loss, and pollution, which call for urgent systemic transformation and a surge in climate and nature-related investments.
This transition requires significant investments – at least $4 trillion annually by 2030 globally, including $2.4 trillion in emerging markets and developing economies (EMDEs), where investment flows are lowest and potential for leapfrogging traditional technologies is greatest. For example, Africa holds 60% of the world’s best solar resources but received less than 2% of clean energy investments in 2023.
