What Should DMOs Actually Be Doing With AI Right Now? (Janette Roush and Dan Holowack)

In this episode of Destination Discourse, Stuart Butler and Adam Stoker are joined by AI leaders Janette Roush and Dan Holowack for a fast-moving, no-fluff conversation on where AI is actually going—and what DMOs are missing right now.

After some classic banter (and a custom-made Stu’s News jingle created at the gym), the conversation quickly shifts into a deeper look at how tools like Claude are evolving—from simple chat interfaces into full operating systems for work.

🧠 Key Takeaways

1. The shift is from “using AI” to “working inside AI.”
The biggest mindset change isn’t about better prompts—it’s about moving your entire workflow into AI. Instead of bouncing between tools, AI becomes the central environment where work happens.

2. Speed of change is eliminating excuses.
What wasn’t possible a few weeks ago is now possible. Waiting for the “right time” to adopt AI is no longer viable.

3. DMOs need an AI champion—now.
If there’s one actionable takeaway: assign (or hire) someone responsible for AI across the organization. This person doesn’t need to be highly technical, but must be curious, capable, and empowered.

4. Organization-wide adoption beats individual experimentation.
Letting employees experiment independently creates fragmentation. The real opportunity is aligning teams around shared tools, shared context, and shared workflows.

5. Build a “master context” for your organization.
Centralizing your brand, strategy, and knowledge into a structured AI-readable format ensures consistency—and dramatically improves output quality.

6. Culture matters as much as tools.
Adoption requires permission. Teams need psychological safety to experiment, fail, and share what they’re learning without fear.

7. AI will eliminate administrative work first.
Reporting, data gathering, slide creation, and repetitive workflows are already being automated—freeing teams to focus on higher-value thinking.

8. Leaders should ask for data—not reports.
Instead of static summaries, AI enables dynamic exploration. Point AI at your data and ask questions in real time to uncover insights.

9. Doing nothing is the biggest risk.
Unstructured, “bring your own AI” usage creates security risks, knowledge loss, and inconsistency. Intentional adoption is safer than ignoring it.

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🔥 Notable Moments

* A custom AI-generated Stu’s News jingle steals the show
* Live discussion of Claude’s new design and Adobe integrations
* Real-world examples of automating social media decision-making
* A candid look at how organizations are (and aren’t) keeping up
* A strong warning: DMOs risk irrelevance if they don’t evolve

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🎯 Bottom Line

This episode isn’t about AI theory—it’s about operational reality. The tools are here, the shift is happening, and the gap between adopters and laggards is widening fast.