Most association leaders we’ve talked to in the last six months are overwhelmed by the scale and rate of change triggered by AI, and the strategic uncertainty it is creating.
These leaders have engaged with AI a lot in the last two years: They've gotten their teams on Copilot or Claude, launched a chatbot, and taken in LinkedIn hot takes, conference panels, and vendor pitches.
But now they need to make strategic decisions with real implications, and the clarity they were hoping would arrive by now just isn't there.
They’re in a can’t wait, can’t rush paradox. So now what?
Two Kinds of Overwhelm
It helps to acknowledge that trying to make strategic decisions at this pace and scale in member-led organizations truly is overwhelming at multiple levels.
The first level is volume overwhelm: too many tools, opinions, and options competing for attention.
The second level is scale overwhelm: the sense that something foundational is shifting, and we’re not sure where to stand while it's happening.
We want to propose a simple framework designed to help navigate both levels of overwhelm and aid decision making to place incremental, strategic bets.
The AI Impact Framework: Three Horizons
When we looked at the AI conversations we were having with association leaders, we kept noticing that they were actually three different conversations, each with different dynamics, timeframes, and impact. We separated these conversations into three horizons.
Horizon 1 is AI for efficiency: helping staff do more than they can do today.
Horizon 2 is AI for new member value: delivering what you couldn't deliver before. This is where associations can start to close the personalization gap they’ve been losing to major digital platforms for decades, and where the most compelling near-term opportunities live.
Horizon 3 is AI for transformation where we ask the bigger question: what new system will emerge because of AI, and how do you become essential within it rather than displaced by it?
These are not sequential stages. AI strategy requires thinking across all three simultaneously. The mistake most associations are making right now is spending a disproportionate amount of their attention on Horizon 1 while the Horizon 3 question goes unexamined.
Let’s look at each horizon in more detail.
Horizon 1: AI for Internal Efficiency
Every association we’ve spoken with over the last year is already working in this horizon. Using one of the core LLM tools to get work done faster is table stakes.
This horizon is about using AI to help staff do existing work faster, more accurately, or with less repetitive effort for things like creating marketing messaging, summarizing meetings, analyzing data, drafting educational content, are so on. The use cases are practical and the value is immediate.
We estimate about ninety percent of the AI energy in the association world is going into Horizon 1 right now. While that’s too much, it’s not all bad. Efficiency gains free up capacity that associations almost universally lack.
But the key insight we want to offer in this horizon is this: the really meaningful efficiency impact happens when you move from individual empowerment to team workflows. Not just "each person can do their tasks faster", but "we've redesigned how our team works." It’s not about choosing more or better tools, but about teams adapting how they get things done to get the greatest impact.
For example, one education team quadrupled the number of learning products they produced in a year by changing the process by which they create courses, leveraging AI where it is the most powerful and volunteer experts where they are most essential. That’s a remarkable change.
However, efficiency alone doesn't solve the relevance problem. If members don't see the value of membership, faster internal operations won't change that. Implement Horizon 1 thoughtfully, but don't over-invest your strategic attention here. The harder work is in what comes next.
Horizon 2: New Member Value
When we polled attendees in our recent talks and webinars on AI strategy about where they sense the biggest member value gap, career support and progression came in first. By a lot. Forty-four percent identified it as the primary gap, more than education, networking, and information combined.
That result didn't surprise us. It confirmed what we hear from members and association leaders constantly.
Members compare their experience with your association against tools that know them, surface what's relevant, and improve over time. Historically, associations couldn't compete with that — it was simply too expensive and resource-intensive to deliver personalization at scale.
AI changes the equation, but only if you invest intentionally.
Here's a quick spectrum of how we see member-facing AI value unfolding:
AI-enabled search is the floor. Most associations' search is broken. Members don't know your internal IT architecture, they just know they can't find what they're looking for. Semantic search that spans your website, LMS, publications, and forums is a high-leverage, accessible fix. It's not the most exciting AI initiative, but it's the one members will use right away.
Hyper-personalized recommendations. This is where things get interesting. Thad Lurie and his team at the American Geophysical Union have been doing pioneering work here for a couple of years. AGU created digital fingerprints for members across years of publications, and built a recommendation engine that identifies members who should know each other, as well as surfaces research articles matched to very specific interests. The results were striking: a 76% quarter-over-quarter increase in research article visits from the homepage and a similar increase in member profile connections. More telling, their AGU4U emails with personalized recommendations moved from a 50% general open rate to 90%, and click through rates jumped from 6% to 24%.
Narrowly focused, high-value chat experiences. The associations getting real traction with AI powered member engagement and value are not deploying general "ask us anything" bots. They're deploying AI deeply trained on association content in a specific, high-stakes domain where members have genuine need. The American Society of Safety Professionals has trained an agent on their guidelines handbook — over a thousand pages of safety standards — so professionals can get targeted, actionable answers about their specific work environments. It replaces hours of parsing documentation with a focused, expert-guided conversation.
The American Association of Physician Associates is building an AI Career Partner tool focused specifically on salary benchmarking, contract reviews, and career pathing for early-career PAs, linked in to relevant member and employer connections. What makes it powerful is not just the hyper-personalized AI interactions, but the underlying data: salary and workforce information that AAPA owns that isn't available publicly. The narrower the problem, and the more proprietary the data, the more valuable the experience.
Career Partnership. This is the capstone of Horizon 2, and our strongest recommendation for where to start building. It's the primary value members have always wanted and that associations have historically struggled to deliver.
Picture a member up at 1 o'clock in the morning, wrestling with a role transition or a contract negotiation or a confidence crisis about their career trajectory. They open an AI-powered platform that knows exactly where they are in their career, understands the challenges common to that stage, and can connect them — right now — to the resources, the guidance, and the other people who can help. Credentials, content, job-market intelligence, personalized pathways, and peer connections in a single coherent experience. This introduces an entirely new mode of how associations interact with their members, shifting content, resources and opportunities from being searched to being served in relevant, interwoven ways.
This was too expensive and too resource-intensive to build before, but it isn't anymore. We're in active design and development with several associations now building exactly this, and the member response is exciting.
Horizon 3: Transformation
What new systems will emerge because of what AI enables? We don’t mean technical systems, but ecosystems of work.
This is the hardest horizon to think about, so let us offer a frame.
The question most executives ask is: What can AI automate? That's a fine question, but it isn’t a strategic one. The most important strategic question is: What new systems of work can AI coordinate?
The distinction matters. Automation replaces existing tasks, but coordination restructures the whole system of who does what, who holds what, and where value accrues.
Let's use travel as a quick illustration.
Thirty-five years ago, the travel agent was a bundled gatekeeper: one relationship with everything included. Then the digital revolution unbundled travel, and individual platforms like Expedia, Kayak, United and more did each specific component–flights, hotels, activities–more conveniently and cost-effectively than any generalist could. Travel agents largely disappeared.
Now we're at the next inflection point. The AI travel coordinator is emerging: a system that knows your preferences, coordinates all the components in real time, and adapts when things change (e.g. if your flight gets rescheduled, it adjusts everything downstream). The bundle is coming back, but it won't be owned by anyone who owned it before. Value will accrue to whoever coordinates best, not necessarily to whoever owns most of the underlying components, because AI is great at coordinating any publicly available information whether or not the entities that create that information are intentionally cooperating.
Associations are living through the exact same arc. There was a membership golden age: one gatekeeper and one bundle with a professional's entire career infrastructure in a single relationship. Then the digital revolution unbundled it: employers offered education, LinkedIn owned the job market and professional identity, Reddit became where people got real career advice, etc. Each component did its thing faster, cheaper and more conveniently than the association could.
That's the erosion we've all been navigating for 25 years.
Now we're at the AI inflection point. The question isn't whether re-bundling happens. The question is whether associations are the ones doing the coordinating, or whether they become data inside someone else's platform.
Sangeet Choudary's book Reshuffle is useful here. He lays out four big moves as AI reshapes the economy.
- Value shifts from pipelines to ecosystems — not one organization producing and delivering, but a network coordinating around the person being served.
- Data becomes the core asset.
- Trust matters more, not less.
- And intermediaries — organizations that sit in the middle of value exchanges, which is exactly what associations do — either become essential or get displaced.
The question moves from What do we own? to What trusted position do we occupy?
Here's what that can look like in practice.
Imagine creating an AI-powered talent acquisition tool for your industry. The talent acquisition teams for big companies are going to LinkedIn to find specialized professionals for niche roles. Your association has access to something LinkedIn doesn't: deep trust and proprietary member data. A talent acquisition tool could take a company's role requirements and surface 10 to 15 highly qualified, precisely matched members, inserting yourself as the coordination point in a transaction where they have genuine advantage. That's what moving toward a coordination role looks like.
That’s a simple illustration of the move toward the trusted position of coordinator. Now imagine an association that owns a credential, or industry guidelines, or a quality registry, and coordinates the entire credentialing-to-career arc in partnership with credentialing boards, licensing entities, and employers. Not owning all the education needed. Not running all the assessments involved. And not delivering all the services required to help a professional find and thrive in a role, or a company hire, train and keep a valued employee. But holding the trusted coordination role and providing personalized pathways across all of it.
The need is urgent to think through the trusted position your association can occupy in this horizon. This is genuinely a once in a generation inflection point, where each association has a chance to move back into a trusted, essential position by moving strategically and intelligently into the disruption and re-bundling AI is triggering. There is no status quo. Those who don’t move toward the trusted coordinator role will find themselves displaced even further from the trusted position they used to occupy.
Three Moves
Remember, these horizons are not sequential stages. AI strategy requires thinking across all three simultaneously. Here’s a suggested next step for each horizon.
Horizon 1: Expand your efficiency thinking from individuals to teams. If you're at the "staff using ChatGPT informally" stage — which is true for 59% of those we polled at recent talks and webinars — the next move is intentional workflow redesign. How can teams work together differently?
Horizon 2: Start with one high-value, member-facing use case. Invest in creating an AI-powered offering that visibly changes the member experience. Avoid generic answer bots or customer service bots. Career Partnership is our recommendation — the member desire is there, the AI enablement is clear, and it starts building the coordination capability you'll need for Horizon 3. Establish your own AI infrastructure with one of the major cloud providers and use partners as accelerators without proprietary lock-in.
Move 3: Have a harder conversation with your board. Efficiency decisions can be made operationally, but transformation decisions cannot. Your board needs to grapple with the coordination question: Where have we been trying to protect assets that have already started eroding in value? And what would it mean for us to become indispensable in a different way?
The overwhelm isn’t going to lessen anytime soon, but the path forward is strategic thinking and decisions across these three horizons, instead of one muddled one.
Highland helps association leaders understand their members, create compelling products and services, and build the digital experiences that deliver them. If you're thinking through any of the horizons in this article, we'd welcome the conversation.
