We believe AI represents a generational opportunity for DMOs to evolve their value proposition for their stakeholders and clients. That is the essence of this blog series.
Here's what we have learned: Successful AI adoption in destination marketing isn't about what we thought.
It's not about technology reluctance, generational divides, policy development or even budget constraints. It's about organizational design.
And now for the a-ha moment: DMOs are structurally engineered to operate with a single "exploit" mindset when AI success requires a dual mindset of "exploit" and "explore".
Let's unpack this.
The Dual Mindset Framework: A Proven Innovation Model
The dual mindset concept comes from Strategyzer, the pioneering force behind the Business Model Canvas used by millions of organizations worldwide. Founded by Alex Osterwalder (ranked #4 on Thinkers50's list of top management thinkers globally), Strategyzer has spent over two decades redefining how organizations approach innovation.
Their dual mindset framework identifies two essential organizational modes:
- Explore Mode: Focused on inventing the future through experimentation, risk-taking, and discovering new opportunities.
- Exploit Mode: Focused on managing the present through optimization, efficiency, and executing proven strategies.
According to Strategyzer, the most successful organizations seamlessly toggle between these modes, with different processes, metrics, and reward systems for each. They don't separate "explore" and "exploit" into different functions or initiatives. They embed the duality throughout their organization structure and, of course, in its culture.
The Single Mindset Trap
Here's where the tension happens: DMOs operate almost exclusively in "exploit" mode. They focus on managing existing stakeholders, executing proven programs, and maintaining established client and community relationships. Unlike manufacturing or tech companies that must constantly innovate to survive, DMOs often operate with relatively stable funding models with stakeholder expectations entrenched in "what have you done for me lately?".
In a nutshell: DMOs optimize for managing the present while the future rewrites the rules of engagement.
What does this mean for AI adoption by DMOs?: Exploit-mode organizations apply the same risk-averse, consensus-driven processes to AI exploration that they use for managing bid development and hotel partnerships. They kill innovation before it starts, which creates a late-adopter approach to AI deployment.
Irrelevance follows thereafter.
The Innovation Portfolio Reality
78% of firms rank innovation as a top priority, yet only 20% scale innovation successfully. DMOs epitomize this contradiction by investing almost exclusively in efficiency improvements while avoiding transformative opportunities.
The dual mindset approach balances three innovation types:
- 70% Efficiency (cost reduction, process improvement)
- 20% Sustaining (service extensions, incremental improvements)
- 10% Transformative (new business models, revolutionary capabilities)
This portfolio approach ensures AI investments create both immediate operational value and long-term competitive positioning.
How Dual Mindset Unlocks AI Value Creation
The dual mindset framework isn't academic theory, it's the key to unlocking AI's value creation potential for DMOs. Here's how:
Explore Mode: AI as Performance Enhancer
What it looks like: Rapid, small-bet experimentation with AI applications that could take performance to the next level:
- AI-powered lead qualification systems that convert more business for members
- Personalized business event participant content creation services that command premium fees
- Predictive analytics insights that help business event clients perform better in a destination
Why exploit-only fails as performance enhancer: Legacy DMO decision-making would study these opportunities to death, form committees, research current best practices, publish policies and ultimately implement watered-down versions years too late.
Exploit Mode: AI as Efficiency Engine
What it looks like: Proven AI applications that reduce costs and improve current operations:
- Automated personalized member communications and support
- AI-powered content creation for marketing materials
- Streamlined RFP processing and response systems
The connection: Efficiency gains from exploit-mode AI fund the risk capital needed for explore-mode experimentation.
The Healthcare Lesson
Healthcare achieved successful AI adoption despite being relationship-centric like business events. Their secret: They started with back-office AI applications (processing discharge letters from 10 minutes to 4 seconds) and used time savings to enhance patient relationships.
DMOs should follow this playbook: Use AI to eliminate administrative friction, then redirect human energy toward higher-value strategic relationships and innovative member services.
The Stakes: What Happens If You Don't Act
So what happens if you don't consider a dual mindset approach to AI deployment? Get ready to face irrelevance because:
- Meeting planner clients using AI will outperform DMO services: If planners can achieve 32% productivity improvements with AI tools, why do they need traditional DMO support?
- AI-native competitors will emerge: New players designed from the ground up for AI-powered destination business development and services will capture market share from legacy DMOs.
- Member and client expectations will evolve: Your partners and stakeholders will expect AI-enhanced lead quality, personalized marketing, and predictive insights that single-mindset DMOs can't deliver. And more importantly, if your clients can get insights and services at AI speed and quality, they will go elsewhere.
Consider this scenario: It's 2026. Meeting planners use AI agents that provide real-time venue availability, pricing, and booking across multiple destinations. These agents learn planner preferences, anticipate needs, and deliver personalized recommendations without human intervention.
In this world, what value does a traditional DMO provide? Marketing brochures? Familiarization tours? Relationship management?
The uncomfortable truth: If you can't articulate unique value in an AI-powered ecosystem, you won't have a place in it.
The Bottom Line
The business events industry survey data shows professionals are ready for AI adoption. 73% plan to increase AI use in the next 12 months. The fundamental challenge isn't technology reluctance, it's organizational design.
You have two choices: Transform your organizational DNA to embrace the dual mindset within the next 12 months, or watch as more agile competitors redefine what destination marketing means in an AI-powered world.
The dual mindset isn't just about AI adoption, it's about organizational survival. Organizations that master the balance between exploring AI's transformative potential while exploiting its efficiency benefits will create sustainable competitive advantages. Those that don't will become case studies in organizational obsolescence.
The dual mindset revolution is here. Your 12-month window starts now.
This post is part of DMO Insights Lab's New Moat series, exploring how AI and emerging technologies are reshaping the competitive landscape for destinations and business events organizations.
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