If you've been putting off your association's AI conversation, this is your sign to stop waiting.
In AuSAE's most recent Open Access Webinar, Brenda Mainland from Survey Matters unpacked what the latest Australian research really tells us about AI's impact on the workforce, and made a compelling case for why associations, not training providers, are best placed to guide members through this transition.
Here's what every association professional needs to know.
Toni Brearley, CEO at AuSAE said " AI, Professional Change and the Role of Associations isn't just the title of a webinar, it's the conversation every association needs to be having right now. Our members are already using AI at work, often without any guidance from the organisations they trust most. The associations that step up now, with real evidence, profession-specific guidance and updated standards, are the ones that will still matter to their members in five years' time.”
AI Is a Workforce Issue Before It's a Technology Issue
The headline message of the session was simple but important: AI is not a technology issue. It's a workforce issue. It's becoming a professional standards issue, and ultimately an association issue.
That reframe matters. Too many associations are still treating AI as an IT project or a one-off webinar topic, when the real disruption is happening in how members do their jobs, how competence is defined, and how professional standards need to evolve.
What the National Research Actually Shows
Brenda walked through several major Australian studies, and the findings challenge some common assumptions:
AI augments more than it replaces. Drawing on Jobs and Skills Australia research, only around 4% of Australian workers sit in occupations with high automation exposure. About half the workforce sits in low-automation, medium-augmentation roles, meaning the story for most professions is changing tasks, not disappearing jobs.
A two-track labour market is emerging. PwC's 2026 Global AI Jobs Barometer, which analysed more than a billion job ads across six continents, found "professionalised" roles combining AI with human judgement are growing twice as fast, with 42% faster wage growth, than roles simplified by AI. AI-skilled workers now command an average wage premium of 62%, up from 57% the year before, and importantly, this premium isn't going to "tech experts”, it’s going to professionals who use AI to do their existing job better
Firms that adopt AI hire more, not less. CSIRO research found Australian organisations that adopted AI posted 36% more non-AI job advertisements than comparable firms that didn't. Demand for AI-exposed roles held steady in AI-adopting organisations but declined in organisation that weren't adopting AI, meaning members at non-adopting organisations and small businesses may be quietly falling behind.
There's a critical judgment gap. Perhaps the most striking finding: workers are twice as likely to have advanced technical AI skills than advanced judgment and evaluation skills. In other words, people can prompt AI, but many can't reliably assess whether the output is any good. For professions built on judgment, ethics and quality assurance, this is precisely where associations should be focused.
Shadow AI is everywhere. The same Deloitte/RMIT research found nearly half of Australian workers (49%) are self-teaching AI through trial and error, with no guidance, standards or risk awareness. Only 48% receive any AI training from their employer, and 54% remain at beginner skill level despite 84% of workers using AI daily.
Why Associations Are Uniquely Positioned to Respond
This is where the session shifted from "here's the problem" to "here's the opportunity." Brenda was clear that no one else occupies the position associations do:
- A mandate to protect the interests of the profession and its members
- An industry-wide view across all career stages
- Existing relationships with government, regulators and education bodies
- Established trust as a source of industry-specific education
- Members who already look to the association to interpret change on their behalf
No government body is producing profession-specific AI guidance. No generic training provider understands the nuance of your profession's ethical obligations or quality standards. That gap is exactly where associations can, and should, step in.
From Generic Webinars to Structured Strategy
One of the more practical parts of the session contrasted how most associations are currently approaching AI with where the real opportunity lies:
Typical approaches today tend to involve ad-hoc webinars on trending topics, generic AI training that isn't profession-specific, little or no measurement of member capability, and professional development built on assumptions rather than evidence.
The opportunity is to develop profession-specific AI capability, update competency frameworks and professional standards, use member data to target learning and support, strengthen advocacy with real workforce evidence, and position the association as the trusted guide through the AI transition.
The through-line: generic "intro to AI" content is now commoditised and easy to find elsewhere. The value associations can uniquely offer is profession-specific application, guidance and standards.
What Our Webinar Audience Told Us
The live polls gave a useful snapshot of where the sector sits right now:
Has your association undertaken a risk assessment on the impact of AI on your members' work? Only 4% had already completed one, and 22% had one underway. A combined 36% said no, and a further 26% said it's an active conversation with the Executive or Board but nothing formal yet. Notably, 12% simply didn't know.
What's your association's biggest challenge in building or assessing AI capability across your membership? "Understanding how AI is affecting the profession" topped the list at 27%, followed by "finding the time, budget and resources" (23%), "knowing where to start" (20%), "identifying capability and skills gaps" (19%), and "developing profession-specific education" (12%). Tellingly, 0% said AI wasn't relevant to their organisation.
The takeaway from the polls is clear: most associations know this matters, but very few have moved from conversation to structured action, and the biggest barrier isn't motivation, it's not knowing where to start.
Introducing a Practical Starting Point: The AI Skills Readiness Index
To help associations move from "we should probably look at this" to a concrete plan, Survey Matters introduced its AI Skills Readiness Index (ASRI), an assessment tool built specifically for professional and industry associations, measured across four dimensions:
- Current AI Exposure - engagement, usage, barriers, and profession-specific task effectiveness
- Skills Competency - profession-specific skills readiness, gaps and needs
- Employer Support - leadership support, learning infrastructure, and regulatory/ethical frameworks
- Future Requirements - the future role of associations, emerging needs, and learning preferences
The output isn't just a score, it includes member skills data, strategic intelligence for board reporting and government advocacy, strategic planning reports for professional development, and custom analytics tailored to the association's own questions.
In a real-world case study shared during the session, the Australian Compliance Institute ran the ASRI in 2026 and recorded an overall score of 35.6 out of 100, with 69% of members sitting below "Proficient" and just 6% rated advanced. The results delivered as both a board briefing and a member report, gave the association a concrete evidence base to prioritise its professional development and AI guidance, rather than guessing at what members needed.
The Bottom Line for Associations
AI is reshaping how competence is defined, how career pathways develop, and what members need from their professional body. The associations that treat this as a passing CPD topic risk falling behind; those that use it as an opportunity to demonstrate leadership, protect professional standards, and guide members through disruption will strengthen retention, relevance and trust.
As Brenda put it during the session: associations don't need to become AI experts. They need to become experts in what AI means for the profession they represent.
The question every association board should be asking right now isn't whether AI will affect their profession, it's whether their members will be ready when it does.
If you'd like to revisit the session or share it with a colleague, you can now watch the full recording here. We hope you find it valuable and that it provides practical insights to support your association.
Want to explore an AI Skills Readiness Assessment for your association? Contact Rebecca Sullivan at Survey Matters: rsullivan@surveymatters.com.au or 03 9452 0101.
