AI Tools for Sustainable Infrastructure and Reporting

As generative AI continues to scale, a shift is occurring at the  intersection of sustainability and technology.  For years, reporting teams were bogged down by scattered data and labor-intensive documentation, leaving little space for strategic sustainability work.  But for those now adopting AI, they’re spending less time trying to answer for the impact of last year, and more time on proactive resilience, gaining efficiency and speed. 

Sustainability teams often need to build reports using data from multiple disparate sources such as, financial data, real estate footprints, energy usage and materials consumption. The standards for reporting are also rapidly evolving. That presents a unique challenge, where accuracy is difficult to obtain across data sources, and the stakes for getting it incorrect are high. At Google, we’ve spent the last two years testing and integrating AI into our own environmental reporting process to solve for this.

Inside how Google uses ...