In this episode, we dive deep into one of the most pressing questions facing the tourism industry: Will AI destroy the DMO (Destination Marketing Organization)? As AI technology advances rapidly, it has the potential to disrupt traditional marketing methods and reshape how destinations engage with travelers.

Join hosts Stuart Butler, CMO of Visit Myrtle Beach, and Adam Stoker, owner of Relic Agency, as they explore:

The current and future roles of AI in destination marketing.

How DMOs can adapt and stay relevant in an AI-driven world.

The balance between technology and human strategy in creating personalized travel experiences.

The evolving expectations of travelers in the digital age.

We also discuss the concept of DMOs as stewards of their destinations, focusing on creating long-term strategies that improve the quality of life for residents through tourism.

Key Takeaways:

AI is raising the bar for personalization and travel planning, but human strategy must lead the way.

DMOs need to focus on the entire travel journey, from inspiration to post-visit engagement.

Collaboration within destinations is crucial for future-proofing against AI disruptions.

Episode Highlights:

Introduction to the show and its mission to challenge the status quo in destination marketing.

Overview of Tourism IQ, Adam's new platform for accelerating industry education and collaboration.

A heated debate on AI's impact on DMOs and the potential risks of relying on big tech companies like Google.

🔗 Links Mentioned:

Tourism IQ - Accelerate your learning and education in the tourism industry.

https://mytourismiq.com/

Skift Article: Destination Marketers Turn to AI for Personalization in Post-Pandemic Marketing Strategies

https://skift.com/2023/11/16/harnessing-the-power-of-ai-in-travel-marketing/

📢 Join the Conversation:

What are your thoughts on AI’s impact on DMOs? Do you think AI will destroy traditional destination marketing, or is it an opportunity for innovation? Share your opinions and experiences in the comments below!

🎧 Listen/Watch Everywhere:

This episode is available on YouTube, LinkedIn, and your favorite podcast platforms.

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