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In this episode, host Chris Lacinak unpacks a growing tension inside the DAM world: what he calls The DAM AI Gap. AI roadmaps promise intelligence, automation, agents, and massive productivity gains. But inside organizations, DAM leaders are experiencing something very different: rising expectations, reduced teams, fragmented metadata, unclear governance, and inconsistent operational foundations. Chris explores the widening distance between AI’s theoretical promise and organizations’ structural readiness to operationalize it. In this episode he explores: Why AI is acting as a stress test for DAM maturity The difference between AI enablement and AI operationalization Why AI amplifies your DAM foundation rather than fixing it How weak metadata, unclear governance, and fragmented processes undermine AI initiatives What it actually takes to close the DAM AI Gap and unlock real value Resources mentioned in this episode: The DAM AI Gap piece - https://weareavp.com/damaigap AVP Free DAM Resources – https://www.weareavp.com/free-resources AVP Insights – https://www.weareavp.com/insights Contact AVP – https://www.weareavp.com/contact Engage: 🔗 Follow Chris on LinkedIn: / clacinak 👍 Subscribe, Follow, and Like on your platform of choice to make sure you get the latest updates 📰 Join our newsletter to get DAM Good Advice at https://lp.weareavp.com/dam-good-advi... Chapters 00:00 Intro 02:16 What is the DAM AI Gap? 03:41 Why AI is exposing structural weaknesses 05:07 The operational foundations AI depends on 06:02 Enablement vs. readiness 08:01 How to close the DAM AI Gap