Internal Efficiency Is Not a Strategy: AI Demands a Member Response

Each month we review new research affecting the association sector. And, lately, almost all roads lead to AI!

Artificial intelligence has moved from the back office to board agendas. For associations, the question is no longer whether AI matters, but what it will do to the people you represent. Yet much of what we read and hear in the sector still focuses inward: how associations can automate marketing or streamline member services. Useful, certainly. But isn’t the outward lens more important?

What is AI doing to your members’ jobs? To their skills? To their career paths? And what does that mean for the long-term relevance of the association itself?

The emerging evidence is remarkably consistent - workforce capability is the biggest risk.

The OECD’s recent report, Making AI Work: Why Investing in Skills Matters (6 February 2026), argues that firms are slowing AI adoption not because the tools are immature, but because staff lack the applied skills to implement, supervise and adapt them effectively. The strongest employment growth is occurring in roles most exposed to AI, provided workers have the judgement and digital fluency to move into higher-value tasks. Where those skills are weak, AI can simply intensify work or reduce hours.

In other words, productivity gains are conditional. Skills determine who benefits.

The Australian context brings this into sharper focus. In the Australian Financial Review (24 February 2026), reporting on Commonwealth Bank’s AI strategy highlighted plans to retrain staff in AI capability while simultaneously reshaping parts of its workforce.

Large institutions have the capital to retrain at scale. But what of small firms, sole practitioners and consultants, many of whom form the backbone of association membership? Who funds their reskilling? Who defines what “AI competent” looks like for them?  Who ensures they are not left behind?

Professions are not disappearing. But traditional career pathways are being redesigned.

Entry-level roles are the first pressure point. Recent coverage in The Economist has highlighted how routine drafting, research and administrative tasks, long the training ground for graduates, are increasingly automated.

That has structural consequences. Many professional careers rely on incremental responsibility and learning through routine work. If those tasks are done by machines, how is judgement developed? How are ethics embedded? How do early-career members acquire tacit knowledge?

Associations that accredit qualifications and define competency standards cannot ignore this. If entry pathways shift, frameworks must shift with them or young members will become even harder to attract.

The impact is not confined to the young. Recent news coverage suggests that large employers are beginning to link performance and promotion to AI usage. That risks disadvantaging experienced professionals who may be slower to adopt new tools, even if their domain expertise remains deep. Left unaddressed, this could erode the standing of mid-career and senior members. And with it their reason for holding membership.

For associations, this challenge is strategic.

Protecting standards cannot mean protecting outdated practice. But nor should capability be defined simply as tool usage. The strategic task is to articulate what “applied AI competence” looks like for members in your profession: when to rely on automation, when to override it, and how to remain accountable.

This connects directly to what members already tell us they value. In our analysis of more than 20,000 open-ended responses from Australian association members, professional development and continuing education remain firmly the dominant drivers of membership for professional bodies.

Under AI pressure, these expectations intensify.

Professional associations will need to update CPD and accreditation to reflect changing task profiles. Not generic “AI literacy”, but role-specific capability. Many associations are already doing a great job of this. Our own association, The Research Society, has a strong offering of practical, profession specific training sessions in how to use AI to improve the efficiency and quality of research.

Industry associations face similar challenges. Smaller firms and sole operators lack the training budgets of large corporates. If AI capability becomes a competitive differentiator, parts of the membership base risk being left behind.

That is both a member equity issue and a strategic risk to your association’s relevance.

Advocacy, too, will evolve. While it changes daily, the global labour-market debate appears to be narrowing. The question is less “will AI destroy jobs?” and more “who absorbs the risk, and who gets reskilled?” Governments are being pressed to fund lifelong learning and credential recognition.

Associations have a credible voice here - if you ground your advocacy in evidence about member readiness.

This is where research becomes more than a reporting exercise. Workforce reports, salary surveys and member studies can map exposure, confidence and skill gaps.

Measuring AI readiness across literacy, applied capability and risk awareness provides a baseline for action. It allows associations to segment their membership, target support and demonstrate leadership grounded in data rather than hype.

The strategic mistake would be to treat AI as an internal operational efficiency project.

The real issue is structural. If AI reshapes entry pathways, compresses mid-career roles and redefines competence, then associations must anticipate how that alters demand for education, credentials and representation. And for membership.

Associations exist to safeguard standards, support careers and advance their professions or industries. AI touches all three.

Those who act now, by updating competency frameworks, investing in applied training, advocating for inclusive skills funding and measuring member readiness, will strengthen both their members and their institutions.

Those who focus only on internal automation may find they have optimised the back office while the profession itself has moved on.

Find out more about the Survey Matters AI Skills Readiness Index

The AI Skills Readiness Index is specifically designed for professional and industry associations. Built on ANZCO / OSCA classifications and designed to be tailored to individual professions and industries specific skill and task exposure, the tool provides association-wide strategic insights, thought leadership and benchmarking capabilities.

To find out more about the AI Skills Readiness Index, please click here. Alternatively, please contact me via rsullivan@surveymatters.com.au to discuss how conducting an AI Skills Readiness Assessment can strengthen your member value proposition.