AI for Carbon Dioxide Removal and Carbon Markets

Scaling carbon dioxide removal (CDR) requires not just scientific advances, but credible, high-integrity markets. Yet persistent gaps between how carbon is measured in the real world and how it is accounted for in carbon markets continue to limit trust, investment, and deployment. This webinar will explore how AI can help bridge these gaps and support more viable, transparent, and durable markets for carbon removal.

A moderated discussion with Alicia Karspeck ([C]Worthy) and Julio Friedmann (Carbon Direct) will examine how AI can strengthen monitoring, reporting, and verification (MRV) across land-based and engineered pathways. Panelists will focus on how improved data integration—across field measurements, remote sensing, and modeling—can reduce uncertainty, clarify durability and additionality, and better align scientific reality with crediting frameworks. The conversation will also address the economic and governance challenges shaping CDR markets: what level of certainty is needed to unlock capital, how to balance rigor with scalability, and how to ensure transparency and trust as AI-driven tools become more embedded in carbon accounting systems.