<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/052652317b5743eda503a43d8e0037b2&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/052652317b5743eda503a43d8e0037b2-0557bf75c27c1cd9.gif</thumbnail_url><duration>1036.266667</duration><title>How Local Media Can Thrive With AI</title><description>This Loom argues that local media can survive and rebuild community trust by treating AI as a journalistic beat rather than an existential threat. It contrasts national AI coverage driven by fear and hype with local, human centered storytelling framed as civic optimism and constructive journalism, focusing on solutions and agency. The discussion emphasizes that AI should automate time consuming tasks like transcription and municipal record sorting so remaining reporters can do deeper community interviewing, with trust as the key future commodity. It also proposes generationally targeted initiatives for seniors, including Senior AI for Good programs and AI Reasonability, delivered through a collaborative local ecosystem across newspapers, podcasts, and community TV. The Loom concludes that understanding will outcompete outrage and likens authentic local journalism to artisanal food in an age of abundant synthetic information.</description></oembed>