The Third Partners Summer 2026 newsletter serves as a comprehensive update for businesses navigating the evolving landscape of corporate sustainability and regulatory compliance. The document highlights the launch of a new AI-powered tool designed to streamline mandatory materiality assessments and provides critical updates on EPA refrigerant rules and EUDR wood traceability laws. It also examines the state of climate risk disclosures in California, noting that many companies are still struggling to provide detailed financial impact data. Beyond regulatory news, the newsletter showcases client successes, including significant energy cost savings achieved through federal partnerships and successful EcoVadis submissions. Ultimately, the source positions Third Partners as a strategic consultant capable of helping firms manage GHG reduction targets and complex environmental reporting requirements.

In this session from Third Partners, we explore the critical shift in corporate sustainability as we navigate the volatile landscape of 2026. For business leaders, the era of "vanity projects" is officially over; sustainability has evolved from a marketing story into a critical "operating system" where companies are scrutinized on actual performance rather than vague 2030 promises. Drawing on insights from Third Partners co-founder Adam Freedgood, we discuss the growing phenomenon of "greenhushing." In response to a federal landscape described as a "disaster for science"—where climate experts have been labeled "environmental insurrectionists"—leaders are silencing public messaging while working harder than ever to future-proof operations against physical risks like floods and wildfires. We examine the friction between federal deregulation and the "gauntlet" of state-level mandates and global standards, which effectively position U.S. companies as "rule-takers" complying with a soup of stakeholder-led directives, including stricter European standards. The discussion also tackles the double-edged sword of Artificial Intelligence. While AI offers efficiency for data analytics and reporting, it poses significant environmental challenges. According to a recent Guardian article, the U.S. is leading a record global surge in gas-fired power driven by AI demands, risking the "hard-wiring" of decades of pollution to meet energy needs. Finally, we look at the rise of "Fractional CSOs" as a flexible solution for navigating supply chain complexity and the strategic pivot toward the notion of "Shared Value." This episode offers a roadmap for resilience, urging executives to look past the "ESG" label and focus on operational realities.

We explore the environmental sustainability of Artificial Intelligence (AI), focusing on Generative AI (GenAI) such as Large Language Models (LLMs). As GenAI matures along the typical "hype cycle" for emerging technologies, new challenges and benefits will emerge. But let's not lose sight of the big picture -- the future of AI's environmental impact isn't about acute environmental impacts, but rather how the AI-driven economy will compare in sustainability to the traditional one. We must acknowledge AI's dual potential for both societal decay and advancement. To explore the issues, we dive into the evolving environmental impact of GenAI over time, drawing parallels with previous technologies, including the early Internet. Finally, we have a Q&A on AI's influence on electricity usage and corporate carbon footprints. Are the energy impacts of AI overblown? Could AI potentially lead to energy savings in other areas? Forward-thinking business leaders will consider the broader business model and ethical implications of AI. When we talk about a sustainable future, we must think bigger than immediate carbon and energy impacts.