AI and Climate Tech: How the Future of Innovation and AI Can and Should Be Climate Aligned

​The climate tech landscape is evolving faster than ever before and AI could well be the single biggest transformation of the digital age. But while generative AI has captured the public’s attention for its ability to develop new content, the real value of AI and machine learning is likely to be found in its ability to help people and organizations make better decisions by finding patterns in enormous datasets. No problem is larger and more difficult to comprehend than climate change, so it’s only natural that AI is revolutionizing our capacity to address it — from assisting companies in emissions reduction to reshaping food systems to enhancing energy efficiency, and even monitoring extreme weather phenomena. 

​As the demand for machine learning and climate tech solutions skyrockets, so does the demand for energy to power this global innovation. Marc Ganzi, CEO of DigitalBridge, recently stated that global data center capacity will need to grow by 38 gigawatts to power the surge in demand triggered by the growth of AI. For reference, 1 gigawatt is 333 Utility-Scale Wind Turbines. 38 gigawatts is the equivalent of powering 28.5 million homes. Innovators can’t afford to ignore their negative environmental impacts or attempt to greenwash their efforts — they need to be part of the solution.

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​Moderated by the hosts of Acquired Podcast, join Crusoe CEO, Chase Lochmiller, and Senior Product Manager of NVIDIA, Ram Cherukuri, to explore what the future of AI means for the future of the climate. And how a game-changing climate tech product isn’t enough; how it is powered and scaled could make all the difference. Responsible AI can and should be climate-aligned.