Futureproof your content ops for the coming knowledge collapse

From Content Operations by Scriptorium - The Content Strategy Experts

November 17, 2025 · 33 min

About this episode

The episode discusses the implications of AI on content operations and how professionals can adapt to the evolving landscape.

What happens when AI accelerates faster than your content can keep up? In this podcast, host Sarah O’Keefe and guest Michael Iantosca break down the current state of AI in content operations and what it means for documentation teams and executives. Together, they offer a forward-thinking look at how professionals can respond, adapt, and lead in a rapidly shifting landscape. Sarah O’Keefe: How do you talk to executives about this? How do you find that balance between the promise of what these new tool sets can do for us, what automation looks like, and the risk that is introduced by the limitations of the technology? What’s the roadmap for somebody that’s trying to navigate this with people that are all-in on just getting the AI to do it? Michael Iantosca: We need to remind them that the current state of AI still carries with it a probabilistic nature. And no matter what we do, unless we add more deterministic structural methods to guardrail it, things are going to be wrong even when all the input is right. Related links: Scriptorium: AI and content: Avoiding disaster Scriptorium: The cost of knowledge graphs Michael Iantosca: The coming collapse of corporate…

People in this episode

Host: Sarah O’Keefe

Guest: Michael Iantosca

Topics covered

AI in content operations
documentation teams
executive communication
automation risks
knowledge management

Keywords

AI
content operations
documentation
automation
knowledge collapse
risk management
executives

Mentioned in this episode

Organizations: Scriptorium, MIT