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The Power of Memory and Experience

In psychology, flashbulb memories are vivid, detailed recollections of surprising and emotionally charged events. These memories capture not just what happened but where we were, who we were with, and how we felt. They form lasting imprints in our minds by combining information with intense emotion.

I experienced this phenomenon with generative AI at digitalNow in 2022. Watching one of my colleagues demo the GPT playground and DALL-E 2 simply blew my mind! The abstract concept of artificial intelligence had suddenly become tangible and real. 

I like to call experiences like these light bulb momentsthat instant when understanding clicks and perspective shifts. When working with association boards on AI adoption, creating these moments is essential. Abstract discussions about technological potential rarely move boards to action. What drives decisions are experiences that transform understanding viscerally.

The Psychology of Persuasive Demonstrations

When persuading boards about AI's value, psychological principles offer important insights. People often make decisions based on emotion, and then they justify those decisions with logic afterward. This isn't a flaw—it's how our brains process information efficiently.

The most successful AI demonstrations leverage this by targeting emotional responses. When board members see AI solving problems they personally face, it creates an immediate connection. This emotional response becomes the foundation for subsequent discussions about implementation, budget, and strategy.

Association boards particularly respond to demonstrations that create a sense of both opportunity and urgency. Seeing AI solve professional challenges creates excitement about possibilities, while recognizing how rapidly the technology advances creates motivation to act. This combination—excitement paired with a sense that waiting risks falling behind—creates the conditions for meaningful action.

Another important consideration: people need to feel safe exploring new technologies. Demonstrations that start with familiar contexts before introducing new capabilities tend to be more persuasive than those that immediately push boundaries. By grounding demonstrations in the known before extending to the new, you create a bridge that makes adoption feel like evolution rather than revolution.

Crafting Targeted Board Presentations

Effective AI demonstrations for association boards require speaking their language and addressing their specific concerns. At Sidecar, we have conducted AI Executive Briefings for association leadersan approach executives can adapt when presenting to their own boards.

The most impactful presentations begin by establishing context around the unprecedented pace of technological change. Explaining Moore's Law and exponential growth curves helps board members understand why this moment requires urgent attention. Comparing adoption timelines of previous transformative technologies (printing press, electricity, internet) shows how each reached mainstream adoption faster than its predecessors, making the urgency clear.

After establishing this urgency, focus on foundational concepts that demystify AI without technical overwhelm. The goal isn't creating experts in 60 minutes, but providing enough understanding for informed strategic decisions.

In our briefings, we specifically translate these concepts into the association context. We show how AI could transform member engagement, professional development, content creation, and other core association functions. We discuss how associations need particular types of data and organizational foundations to successfully implement AI.

When presenting to your board, you'll need to identify the specific AI applications that matter most to your association and board members. This translation of abstract technology into concrete, association-relevant use cases is what creates those powerful light bulb moments that drive strategic action.

Designing Demos That Resonate

Creating effective AI demonstrations for your board requires strategic planning around both content and presentation. The most impactful demonstrations share several key characteristics:

First, they solve real problems board members personally experience. Rather than showcasing the most advanced capabilities, focus on applications that address friction points in their professional lives. A simple solution to a common frustration often creates more enthusiasm than a complex solution to a theoretical problem.

Second, effective demonstrations use consumer-grade tools that board members can try themselves. While enterprise AI implementations might be your ultimate goal, starting with accessible tools creates immediate engagement. Seeing AI tools they can download and use tomorrow creates more excitement than systems that require months of implementation.

Third, successful demonstrations tell stories rather than just showcasing features. Frame your demonstration within a narrative about how work changes, how members benefit, or how the profession advances. This narrative context helps board members connect technical capabilities to meaningful outcomes.

Finally, the most persuasive demonstrations incorporate an element of surprise. When designing your demonstration, identify assumptions board members likely hold about AI's limitations, then specifically showcase capabilities that challenge those assumptions. These moments of surprised recognition often become the emotional catalyst for deeper engagement.

The Technical Expert Paradox

One counterintuitive discovery when presenting AI to boards is the technical expert paradox: board members with the most technical expertise in their fields are not necessarily more knowledgeable about practical AI applications—sometimes they're less so.

This occurs because deep specialists may have theoretical knowledge of AI but limited exposure to practical applications outside their specific domain. A physician who understands machine learning algorithms for diagnostic imaging might have no idea how AI can transform member communication or educational content delivery.

This creates an important opportunity for association executives. Regardless of your technical background, you can lead meaningful AI discussions with your board by focusing on practical applications rather than technical details. Your role isn't to explain how the technology works but to demonstrate what it can do to advance your mission and serve members.

When presenting to highly educated board members, acknowledge their expertise while gently introducing new practical applications. Phrases like "You might already be familiar with AI in your clinical practice, but I'd like to show you how it's transforming association management" create space for new information without challenging their professional identity.

Education as an Ongoing Process

One presentation, no matter how compelling, rarely drives organizational change. Board education around AI works best as an ongoing process rather than a one-time event.

Consider structuring your approach as a series of educational touchpoints:

Begin with a general educational session with no specific requests attached. This might include bringing in external experts to provide context about AI's impact on your industry. Focus on creating understanding before pushing for decisions.

Follow with guided exploration opportunities where board members can interact with AI tools in a structured environment. These hands-on experiences often create the most powerful "light bulb moments" as board members discover capabilities firsthand.

Only after these educational foundations are established should you present specific proposals for action. By this point, the board will have the context necessary to evaluate opportunities meaningfully.

Between formal meetings, maintain momentum through targeted information sharing. An association leader once shared an incredibly creative approach with me—using ChatGPT to role-play their specific board members, assigning each one a persona based on their actual backgrounds and typical concerns. This allowed them to practice addressing objections and refining their presentation before the actual board meeting.

A Legacy of Light Bulb Moments

Picture this: your board members years from now, vividly recalling the exact moment when AI became real to them. But unlike my memory of seeing GPT playground at digitalNow, their flashbulb memory stars you at the front of the room.

You showed them something that solved a problem they personally cared about. You spoke their language, not tech jargon. You made AI tangible when it had been abstract.

That meeting—your presentation—becomes the dividing line between "before" and "after" in your association's relationship with AI.

Create these moments. Study what matters to your board. Show them solutions to problems they recognize. Make AI real.

Then watch as understanding transforms into action, skepticism into advocacy, and theoretical discussions into strategic priorities.

 

Mallory Mejias
Post by Mallory Mejias
May 20, 2025
Mallory Mejias is passionate about creating opportunities for association professionals to learn, grow, and better serve their members using artificial intelligence. She enjoys blending creativity and innovation to produce fresh, meaningful content for the association space. Mallory co-hosts and produces the Sidecar Sync podcast, where she delves into the latest trends in AI and technology, translating them into actionable insights.