The DAM AI Gap Is Real. Here’s How to Close It.

Описание: 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  
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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