About this episode

The episode discusses the implications of content debt in the context of AI and offers insights for organizations to manage it effectively.

What happens when you feed years of messy content into AI? In this episode, Bill Swallow and Alan Pringle dig into the content debt crisis, including increased system costs, neglected localization, and the fallout of “just use AI” mandates. They share practical insights to help organizations get back on track. Alan Pringle: Is your content updated? Does it reflect the latest information? Is it created for all the different locales that your company serves? Is it in different languages? That is another pile of debt that when you start looking at AI, all the problems will be very brutally magnified, and you’re going to have to address them to really have a large language model that works at all. Related links: Balancing automation, accuracy, and authenticity: AI in localization (podcast) Forbes: AI Costs More Than The People It Replaced Taming AI: Using AI for content conversion at scale (podcast) LinkedIn: Bill Swallow Alan Pringle Transcript: Disclaimer: This is a machine-generated transcript with edits. Introduction with ambient background music Christine Cuellar: From Scriptorium, this is Content Operations, a show that delivers industry-leading insights for…

People in this episode

Host: Bill Swallow

Guest: Alan Pringle

Topics covered

• content debt
• AI
• localization
• system costs
• content strategy

Keywords

• content debt
• AI crisis
• localization
• system costs
• content strategy

Mentioned in this episode

Organizations: Scriptorium, Forbes

Books & works: Balancing automation, accuracy, and authenticity: AI in localization, Taming AI: Using AI for content conversion at scale

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