{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Coworking Values Podcast","title":"Why AI Can't Feel the Room: Practical Operations with Carlos Almansa","html":"","width":"100%","height":180,"duration":2356,"description":"Why AI Can't Feel the Room: Practical Operations with Carlos AlmansaCoworking Values Podcast\"The AI cannot feel the space. It can't feel the dynamics or the vibe. But it can free up time for you to talk to your members, to have a coffee with them, to understand and to read people.\"— Carlos Almansa BallesterosEpisode SummaryMost conversations about AI in coworking are either evangelical or dismissive. Carlos Almansa Ballesteros, co-founder of Nexudus and author of the Coworkings AI newsletter, refuses both positions.In this episode he lays out a practical baseline: start with what you already do, keep a human in the loop, and never mistake efficiency for community. He also raises the question that sits underneath all of it — the Dead Internet Theory — and what it means for spaces that exist precisely because human presence still matters.No frameworks. No magic. Just what actually works.Timeline Highlights00:02 — Bernie sets the episode up: practical AI, not rocket science01:16 — Carlos introduces himself: Nexudus co-founder, Coworkings AI newsletter author03:02 — Carlos's first coworking space, and why he's always joined one when moving to a new city06:41 — The first 60–90 days: how a community manager makes or breaks early membership09:09 — The London Coworking Assembly AI survey: most people use it for social media captions and don't go further10:15 — Why the Coworkings AI newsletter exists: cutting through noise to find usable signals for operators12:54 — The solo operator and AI: actually easier to start when you know all your own processes15:03 — Practical use case one: automating repetitive help desk replies (Wi-Fi, printing, FAQs)16:21 — Practical use case two: surfacing data patterns you can't see manually17:53 — The soul-of-the-space question: automation versus presence19:36 — Sentiment analysis: feeding community messages into AI to understand the pulse of a space20:52 — Context is everything: how to give an AI model what it needs to work properly23:56 —...","thumbnail_url":"https://img.transistorcdn.com/WIBJeL0fXbpb8oNZHEtSu5qeC3870OdCYV3XNCIVY1M/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yZTBm/NGQ1N2YzYTcyNmE3/NTc2ZmU5NTBlYmNj/OTEwOC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}