{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Media Copilot","title":"AI won’t save Local News. But it might reinvent it.","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/17821eec\"></iframe>","width":"100%","height":180,"duration":2792,"description":"Local journalism is collapsing under old business models. The next version may be more dependent on AI than most newsrooms are ready to admit.\n\nBy The Copilot\n\nCan AI help rebuild local journalism before the economics of the industry completely break? Axios does. \nOn this episode of The Media Copilot podcast, Pete Pachal speaks to Allison Murphy, COO of Axios, to explore how Axios Local is experimenting with AI-driven newsroom operations, “hyperlocal” expansion, and lean reporting teams designed to scale across hundreds of communities.\nThe needle to thread: how to produce high-quality local journalism without sacrificing editorial standards. From AI-assisted social publishing and newsroom training to experimental tools like the “Axiomizer” and “Localizer,” the conversation goes beyond vague AI hype and into the real mechanics of how modern media organizations are adapting in real time.\nMurphy also explores newsroom trust, AI transparency, audience skepticism, regional expansion strategy, and the growing financial pressure forcing publishers to rethink how journalism can remain sustainable in the modern media economy.\n“The fundamental challenge with local journalism now is a financial one. We are looking at how we can bring the cost of delivering really high quality, originally reported journalism and news and information to many, many communities.”\nMurphy argues that the future of local news depends on finding the right balance between human expertise and technological efficiency before the economics of the industry become impossible to sustain.\n\nWhat We Cover: • Why Axios sees AI as essential to saving local journalism economics\n • How one reporter and “half reporter” cities are changing newsroom models\n • The role of AI in reporting workflows, editing, planning, and social distribution\n • Why Axios believes human reporters remain core to its journalism\n • The rise of AI-enabled newsroom operations and internal employee training\n • What media companies still...","thumbnail_url":"https://img.transistorcdn.com/4EiFqLM4OC9vg9_Tigcvzf0FJU4e68DVprGgpAUDU4M/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZGY3/ZTlmNDY3NDc0NjVm/NmNjMjNmZGM1ODNh/Y2JiYS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}