Open Access Webinar: Getting AI-Ready for Smarter Member Engagement

AI Expectations Meet Association Reality

Australian organisations, including professional associations, are navigating a sharp transition in artificial intelligence. What began as pilot projects and hype has, by early 2026, become a core operational expectation. Technology leaders surveyed in 2026 identified AI as the defining trend for the year, with 78% citing its influence—up from 67% the previous year. Yet readiness lags: only 7% believe Australia has the infrastructure and capability to meet future AI demand to a great extent.

For associations under the umbrella of bodies like the Australasian Society of Association Executives (AuSAE), the stakes centre on member engagement. Associations traditionally rely on events, education, communications, and networking to retain and grow membership. AI promises to transform these through better-connected data, enabling personalised recommendations, proactive retention alerts for at-risk members, and more relevant content delivery. However, many still grapple with siloed systems that limit insight and impact.

Recent developments amplify the urgency. National plans, including Australia's National AI Plan and guidance on AI adoption released in recent years, push for scaled implementation across sectors. Adoption rates climbed in 2025, with over 50% of organisations using AI in some form, and public sector integration jumping notably. Globally and locally, association-specific studies show AI use doubling among professionals in 2025, with members expecting data-driven personalisation that matches private-sector standards.

The concrete risks are clear. Stagnant or declining membership affects nearly half of associations in some surveys, while value propositions struggle to compel. Inaction means missed opportunities for efficiency gains, deeper insights, and competitive edge—potentially eroding revenue from dues, events, and sponsorships. Costs of delay include staff time wasted on manual processes and lost member loyalty as expectations rise.

Non-obvious tensions persist. While AI can enhance engagement, fragmented data foundations create bottlenecks that even advanced tools cannot fully overcome without prior alignment. Ethical and governance questions loom larger in member-based entities, where trust is paramount and missteps in personalisation or bias could alienate participants. Smaller associations, common in Australia, face resource constraints that make catching up harder compared to larger enterprises, widening the divide between pacesetters and laggards.