Young climate tech pioneers honored for AI and materials breakthroughs
MIT Technology Review's annual 35 innovators under 35 list includes nine climate and energy researchers tackling challenges from AI efficiency to pollution tracking. Their work highlights AI's dual role—both as an energy consumer and a tool for improving climate models and data gaps. The group also underscores the growing need for critical materials like lithium for batteries and grid storage.
The nine climate and energy honorees represent a global cohort addressing interconnected challenges. Their projects span software tools that measure AI's electricity consumption, machine-learning systems for pollution monitoring, and urban-focused climate models that improve upon traditional forecasting limitations. Several founders target lithium supply chain bottlenecks, with one startup processing brine sources and another extracting from hardrock ore, both aiming to accelerate production timelines.
Other work tackles emissions from heavy industry, including a novel furnace design for cleaner steel manufacturing and research into fossil-fuel-free plastics. Collectively, these efforts illustrate how climate technology now spans digital infrastructure, mineral extraction, and industrial process redesign, reflecting the breadth of changes needed for decarbonization.
This recognition could influence research priorities and investment flows in climate tech, particularly around AI's energy footprint and critical mineral supply chains. As AI adoption grows across industries, tools that measure and reduce its power demands may become increasingly valuable. Similarly, innovations in lithium extraction could affect battery costs, potentially shaping electric vehicle affordability and grid storage deployment. The honorees' work may also inform policy discussions on resource security and industrial decarbonization, though commercial scalability and market adoption remain key factors in determining their broader societal impact.