· Loz Demousselle

The 5 Stages of AI Adoption (And Why Most Businesses Never Leave Stage 2)

The 5 Stages of AI Adoption (And Why Most Businesses Never Leave Stage 2)

Australian businesses lifted their AI spending by 115% over the past year, five points above the global average.

Only 8% of them have moved past individual tools into an actual automated workflow. Just 18% have AI working across business functions at all, and the country's own Enterprise AI Maturity Index sits at 51 out of 100. (ServiceNow newsroom, 30 Jul 2026)

That gap, between what is being spent and what has actually changed, is the real story right now. It is not unique to Australia either: a separate 2026 US survey of small businesses found 76% currently using AI and 93% calling it a positive, but only 14% say it is actually built into daily operations. (Goldman Sachs, n=1,256 small businesses, Babson College/David Binder Research, 27 Jan-4 Feb 2026)

Spending and enthusiasm are not the problem. Almost nobody has a clear way to see where their own business actually sits inside that gap.

I've built a 5-level framework called LEVEL every business moves through, whether anyone has named them or not.

1. Latent. No real AI use anywhere in the business. Either they do not think it affects them, do not know where to start, or see it as a culture shift the team is not ready for. Every competitor already building the habit is pulling ahead on margin, and the longer this stage lasts, the harder that gap is to close.

2. Emerging. People are quietly using AI on their own, redoing the same prompts every time, with no policy and no oversight over what is actually being shared with it. This is where the real exposure already starts: data leakage, fines, legal action, on top of real time lost redoing work that should only need solving once.

3. Ventured. Siloed teams and tools. Everyone has found their own way, and nothing talks to each other. Nobody is comparing notes, none of it is connected, and the money on the table goes to whoever coordinates first.

4. Embedded. Only one team has actually changed how it works, and everyone else is still doing it the old way, watching from the sidelines. The gain is capped at whatever that one team touches, while competitors rolling it out everywhere keep compounding.

5. Leading. The whole team is trained, systems are running across multiple departments, and a human stays in the loop only where that is the deliberate right call, not because it has to be. Existing staff absorb multiples of current volume before the business needs to hire again.

Most businesses reading this sit at Level two. It is the market norm right now: the real barriers are not cost or access, they are confidence and clarity around data privacy.

The businesses actually pulling ahead are not the ones with the most AI. They are the ones who know exactly which stage they are at, and what specifically moves them to the next one.

If you are not sure which of the five your own business sits at or how to get past it, that is usually the first real conversation worth having, before any tool gets added.

Until next time

Loz Demousselle

AI Adoption Consultant at One Level Up, helping 8 to 80 person firms get their whole team using AI, daily and safely.

More at onelevelup.com.au

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