Is generative AI the answer to meeting industry sustainability goals

Harnessing generative AI for corporate sustainability

Today's existing efficiency improvements won't be enough to mitigate the increasing energy demands of generative AI. That's why we need to harness this technology to help manage its own energy usage. Whether through virtualization, optimized coding practices, cloud migration or more efficient Application Programming Interfaces (API), having visibility into energy usage will equip organizations with the insights they need to monitor and leverage generative AI for sustainability.

Additionally, how organizations collaborate to leverage cleaner and more renewable energy sources largely will determine the future of generative AI. Without this ability to identify ways to conserve more energy than it uses, much of its promise will escape our grasp. Designing new types of batteries for backup, running generators on biodiesel and shifting computational workloads to cleaner energy sources will be part of what must be an "all of the above" approach to developing sustainable generative AI.

AI has the potential to help us solve some of the world's biggest problems. But because it poses significant challenges to bringing about a net-zero emissions world, we must capitalize on generative AI's tremendous power to help us preserve and protect our planet and build a truly sustainable future.

Read more on "From Vision to Impact: The Global Sustainability Barometer."