Eight Minute Climate Fix | Clean Energy & Climate Policy Insights
Let us know how we're doing - text us feedback or thoughts on episode content [https://www.buzzsprout.com/2064554/fan_mail/new] AI is quietly becoming one of the fastest-growing sources of corporate greenhouse gas emissions — yet not a single Fortune 500 sustainability report specifically calls it out. In this episode, Paul exposes the growing gap between AI's real emissions impact and how companies are (not) accounting for it. Drawing on a Capgemini Research survey of 2,000 executives — 48% of whom say AI has already materially impacted their corporate emissions, and 42% of whom have had to revisit their climate targets because of it — Paul explains why AI emissions are stuck in a measurement blind spot: an outdated GHG Protocol that buries AI usage, and near-total opacity from AI hyperscalers on model-specific carbon data. But there's good news: Paul lays out five practical ways enterprises can reduce their AI carbon footprint today — from right-sizing AI models and shifting workloads to cleaner grid regions, to temporal load shifting and prompt engineering audits — without reducing AI usage at all. Follow Paul on LinkedIn [https://www.linkedin.com/in/schusterpaul/].
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