What we are hearing at regional AI workshops

Between February and early March 2026, we participated in a series of events that gave us a clear picture of where regional Australia sits on AI. Not the picture you get from reading tech news or attending city-based conferences. The actual picture, from actual rooms, with actual people trying to figure this out for their businesses and communities.

Here is what we heard.

The events

Bass Coast AI Workshop (5 February). Run by Bass Coast Shire Council in Gippsland, this brought together local businesses, council staff, and community organisations. The room was mixed - some people had been experimenting with AI tools for months, others had never opened ChatGPT.

evokeAG 2026 (18 February). At the Melbourne Convention Centre, ARAIN panelled at "Designing AI for Dirt, Data and Decision-Making" alongside Stefan Hajkowicz from CSIRO Data61, Sophia Duan from La Trobe University, and Edward Barraclough from Drone-Hand. Over 1,500 delegates from 18 countries. The conversations in the hallways were as revealing as the sessions.

Agentic AI Melbourne (26 February). Hosted by the Australian Industry Group with the Department of Industry, Science and Resources and the National AI Centre. This was a metro-focused event, but it provided a useful contrast to the regional conversations.

AI Forum Horsham (27 February). At Longerenong Agricultural College, hosted by RDA Grampians. A room full of people from agriculture, local government, and regional services. Practical, direct, and not interested in hype.

The common themes

"Where do I start?" beats "What is the latest model?" every time

In every regional room we have been in, the most common question is not about GPT-5 or agentic AI or the latest benchmarks. It is: where do I start?

This sounds simple, but it tells you something important. People are not confused about whether AI matters. They are stuck on the first step. And most of the content available online - the tutorials, the listicles, the LinkedIn thought leadership - assumes a starting point that does not match where most regional operators actually are.

The gap is not awareness. It is pathway.

People want to see AI applied to their work, not general demos

At Horsham, someone put it bluntly: "I do not care what it can do with a poem. Show me what it does with a spray diary."

General-purpose demos of AI capability are impressive but often miss the mark for regional audiences. People want to see the tool applied to something they recognise - a compliance form they actually fill out, a report they actually write, data they actually collect.

This is why hands-on workshops where participants bring their own tasks are consistently more effective than presentations. When someone sees AI draft a real document from their real work, the shift is immediate and tangible.

Data quality is a bigger barrier than AI capability

In almost every conversation, the bottleneck is not the AI tool. It is the data the tool needs to work with.

Records in spreadsheets that have not been updated since 2019. Critical knowledge in someone's head rather than a system. Three different databases that do not talk to each other. Paper records that have never been digitised.

AI tools are only as good as the information they can access. For many regional organisations, the first step is not adopting AI - it is getting their existing data into a state where AI can work with it. That is less exciting than a new tool, but it is often more impactful.

Healthy scepticism is a strength, not a weakness

Regional audiences tend to be sceptical. They have seen technology trends come and go. They have been burned by vendors who oversold and underdelivered. They ask hard questions and they want evidence.

This is a feature, not a bug. Scepticism protects against the worst outcomes of AI adoption - buying tools you do not need, investing in approaches that do not fit, and trusting outputs that need verification.

The organisations that adopt AI well tend to be the ones that start with healthy scepticism and move to informed confidence through their own experience. Not the ones that believe the sales pitch on day one.

The metro-regional gap is striking

At the Agentic AI event in Melbourne, the conversation was about autonomous AI agents, regulatory frameworks, job displacement, and artificial general intelligence. Important topics, but abstract.

The day after, in Horsham, the conversation was about spray diaries, compliance documentation, staff training, and whether the internet connection was reliable enough to use cloud-based tools.

These are not just different levels of AI maturity. They are different conversations about different problems. And too often, AI policy and programs are designed from the metro conversation and expected to land in the regional one.

The gap is not about intelligence or ambition. It is about context. A farm manager in the Wimmera faces different constraints and opportunities than a product manager in Southbank. AI adoption strategies need to reflect that.

Generative AI is the most accessible entry point

Across every event, the AI application that resonated most with regional participants was generative AI - tools like ChatGPT, Claude, and Copilot for text-based work.

The reasons are straightforward. These tools require no capital investment, no technical infrastructure, and no specialist expertise to start. They have free tiers. They work on existing devices. And they are useful for tasks that every business does - writing, summarising, analysing, and communicating.

For regional organisations at Level 0 or Level 1 on the adoption curve, generative AI tools are the practical on-ramp. Not the destination, but the starting point.

What this tells us

The picture that emerges from these events is consistent. Regional Australia is interested in AI, not naive about it, and underserved by the current conversation.

People do not need more hype. They need practical pathways that start from where they actually are, not where someone in a capital city assumes they are. They need to see AI applied to their actual work, with their actual data, in their actual context.

That is what we are building at ARAIN - sector-specific, regionally grounded, practically focused. Not because we think regional Australia cannot handle sophisticated technology. Because we think it deserves AI adoption support that respects its reality.

If you attended any of these events, we would love to hear what stuck with you. If you are running workshops or forums in your region and want us involved, get in touch.

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