The Real-World Impact of AI, w/ Sharon Goldman

What happens when AI stops being just a software story and starts showing up in towns, power grids, zoning fights, data centers, and business workflows?In this episode of AI-Curious, we talk with Sharon Goldman, longtime AI journalist (most recently senior reporter at Fortune) who’s now the founder of Ground Level AI, which focuses on the real-world impact of the AI boom: infrastructure, data centers, cybersecurity, enterprise adoption, policy, geopolitics, and the communities affected by it all.We dig into Sharon’s reporting on AI data centers across the United States, including communities in Arizona, Louisiana, Michigan, and Texas that are grappling with new development, construction chaos, zoning disputes, water and electricity concerns, noise, jobs, tax revenue, and a larger sense that AI is arriving faster than people expected. We also talk about why data centers have become a proxy for broader AI anxiety, and why the conversation often gets more complicated than a simple pro-AI or anti-AI split.Then we turn to the fast-moving world of frontier models, cybersecurity, and enterprise AI. We discuss the Mythos and Fable saga, the tension between open and closed models, why companies are rethinking model lock-in, and why business leaders increasingly want choice, redundancy, and model-agnostic AI strategies. Sharon also shares how she thinks about covering AI as a journalist, what stories she believes are still underreported, and how she uses AI herself as a solo creator building a new media business.GuestSharon Goldman — Journalist and Founder, Ground Level AICheck out Sharon’s workGround Level AI: https://www.groundlevel-ai.com/Sharon’s reporting on data centers in Texas: https://fortune.com/2026/06/16/ai-data-center-texas-lacy-lakeview-ross/Follow AI-Curious on your favorite podcast platform:Apple PodcastsSpotifyYouTubeAll Other PlatformsFor anyone interested in Jeff’s AI Workshops for their company:Reach out directly at [email protected]