Staying informed is part of leading. This week we're sharing two articles on artificial intelligence applied to the environment and the new challenges of sustainability reporting.<\/p>\n\n\n\n
On May 30, 2026, the United Nations Environment Programme (UNEP) launched the beta version of EnvironmentGPT<\/strong>, an artificial intelligence tool trained with a selected library of scientific publications from UNEP and partner organizations.<\/p>\n\n\n\n Its goal is to provide evidence-based answers on environmental issues such as water, carbon, biodiversity, and climate, with transparency regarding the data used.<\/p>\n\n\n\n For those of us who work in corporate sustainability, this represents a clear signal: artificial intelligence is no longer just a productivity tool. It is also beginning to function as a scientific infrastructure for environmental decision-making.<\/p>\n\n\n\n Access the tool:<\/strong> UNEP EnvironmentGPT<\/a><\/p>\n\n\n\n The GRI Sector Standards<\/strong> The rules for sustainability reporting are changing. It's no longer enough to produce a generic report: if a company operates in mining, oil and gas, agriculture, or fishing, there is a specific standard that defines what it must measure and report.<\/p>\n\n\n\n The central concept is the materiality<\/strong>, That is, identifying the impacts that really matter to each sector, instead of reporting a variety of issues without clear prioritization.<\/p>\n\n\n\n Demonstrable sustainability, backed by verifiable data and aligned with international standards, is what sets leading companies apart.<\/p>\n\n\n\nBasic guide for your first sector report 2026<\/h2>\n\n\n\n