AI IN SUSTAINABILITY
tool, but drive systemic transformation. This could help to boost economic growth, break cycles of under-investment and achieve emissions reductions.
The study used a bottom-up approach to estimate AI’ s emissions reduction and impact in power, food( meat and dairy) and mobility( light road vehicles).
In the power sector, AI-enabled grid management and efficiency improvements could abate up to 1.8 GtCO₂e annually by 2035. In meat and dairy, support from AI to adopt alternative proteins could support emissions savings from 0.9-3.0 GtCO₂e annually. Light road vehicles could be supported by AI-powered shared mobility and advances in EV adoption, potentially cutting emissions by up to 0.6 GtCO₂e annually. This is a total of up to 5.4 GtCO₂e reductions annually.
The power sector has a high share of global greenhouse gas emissions and integrating renewable sources is crucial to achieving net zero according to the EA. Intermittent renewables, like solar and wind, require careful real-time
HEADQUARTERS: LINKÖPING, SWEDEN EMPLOYEES: 7,000 INDUSTRY: ENTERPRISE SOFTWARE COUNTRIES: 80 +
108 February 2026