New research by Airteam shows Australians who use AI at work are saving an average of two hours per day. That is 10 hours each week. 520 hours a year. The equivalent of 65 full workdays returned to the individual employee.

Almost three months of working time, regained.

This is not marginal efficiency. It’s structural.

When one quarter of a standard workday can be streamlined through automation, the conversation moves beyond convenience.

It becomes about how work itself is being redesigned.

Here is what 1,000 Australian employees told us.

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From assistance to acceleration. How AI is reshaping the working day

The gains are not evenly distributed: they are very much generational.

Among Australians aged 18 to 24, 80% report using AI tools at work. On average, they are saving 2.5 hours per day.
Across employees under 45, adoption sits at 72%.
For workers over 45, adoption drops to 41%.
Among Australians over 65, just 30% use AI at work.

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The divide is stark.

Younger workers are not just experimenting.

They are embedding AI into daily workflow. Report drafting. Summarisation. Brainstorming. Coding assistance. Task automation. They are compressing routine work and reclaiming time at scale.

Older cohorts are participating more cautiously, or not at all.

What emerges is not just a productivity story, but a significant workforce divergence.

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A 25% shift in workload

“If the average Australian worker is saving two hours a day using AI, that’s 25% of their workload streamlined through automation,” commented our Executive Director, Rich Atkinson, after he reviewed the results.

“For many Australians, that’s the difference between finishing on time and working late. Or between reacting to tasks and actually thinking strategically again.”

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The implication is subtle but significant.

When a quarter of routine cognitive load is removed, capacity does not simply disappear.

It reallocates.

Some of it becomes strategic thinking. Some becomes higher output. Some becomes earlier finishes. Some becomes burnout reduction.

The outcome depends less on the tool and more on how organisations govern its use.

“The key to workplace AI is controlling how it’s used and where data is stored,” Atkinson says. “AI can assist in everything from content generation to code enhancement, but governance and fact-checking are essential. Recent controversies, including Deloitte’s AI-generated government report, highlight why guidelines matter.”

Productivity gains without guardrails are fragile.

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A quiet response to a national productivity stall

The timing is not incidental.

Australia’s 20-year average annual productivity growth rate now sits at 0.8%, a record low.

For years, economists have debated structural reforms, industrial relations settings, and capital investment as the levers for improvement.

Meanwhile, individual workers appear to be engineering their own micro-reforms.

Two hours at a time.

AI adoption is not yet universal. But tools like ChatGPT, Google’s Gemini and Claude are already embedded in daily office life. Copilot in particular has gained traction in enterprise environments due to its integration within Microsoft systems and its enterprise data controls.

This is the operational reality, not a distant future scenario.

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The strategic question we are not asking

The more provocative insight may not be how much time AI saves. It is what organisations do with the time returned.

If one cohort is gaining three months of capacity per year and another is not, performance gaps may widen.

If individuals are accelerating output but businesses do not redesign processes, the gains may be absorbed rather than amplified.

If productivity is improving quietly at the employee level but not being measured structurally, national statistics may lag behind lived experience.

The conversation is still framed around experimentation. But the data suggests we are past that phase.

AI at work is no longer theoretical. It is behavioural.

And behavioural shifts at scale tend to compound.

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A structural shift underway

For decades, productivity growth came from capital investment and macroeconomic reform.

Now it may increasingly come from individual workflow automation.

Not imposed from the top down. Adopted from the bottom up.

Two hours a day may not sound revolutionary. But multiplied across millions of workers, it represents billions of reclaimed labour hours annually.

The question is no longer whether AI changes work.

It already has.

The real question is whether Australian organisations are redesigning around that change, or simply watching it happen in the background.

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Survey Results

Question: By roughly how much do AI tools (e.g. ChatGPT, Claude, Perplexity AI) reduce your workload each day?

AI usage by age group

Age group	% of employed Australians who use AI
18–24 years	80.0%
25–34 years	72.3%
35–44 years	66.3%
45–54 years	51.9%
55–64 years	35.6%
65+ years	30.1%
Total	58.8%

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Daily AI usage by age group

Daily AI usage	18–24 years	25–34 years	35–44 years	45–54 years	55–64 years	65+ years	Total
Less than 1 hour	22%	25%	32%	29%	26%	15%	26%
1–2 hours	27%	24%	18%	14%	6%	10%	17%
3–4 hours	25%	19%	12%	6%	2%	3%	12%
5–6 hours	4%	4%	4%	3%	1%	2%	3%
More than 6 hours	2%	1%	0%	0%	1%	0%	1%
I don’t use AI	20%	28%	34%	48%	64%	70%	41%

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Daily AI usage by gender

Daily AI usage	Male	Female	Total
Less than 1 hour	23%	29%	26%
1–2 hours	19%	16%	17%
3–4 hours	14%	10%	12%
5–6 hours	3%	4%	3%
More than 6 hours	1%	1%	1%
I don’t use AI	41%	41%	41%

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Daily AI usage by state

Daily AI usage	NSW	VIC	QLD	WA	All Other States	Total
Less than 1 hour	30%	22%	24%	30%	23%	26%
1–2 hours	19%	17%	20%	13%	15%	17%
3–4 hours	16%	10%	12%	7%	8%	12%
5–6 hours	4%	2%	4%	5%	1%	3%
More than 6 hours	1%	0%	0%	1%	0%	1%
I don’t use AI	30%	48%	40%	45%	53%	41%

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About the Data

The nationally representative survey by Airteam was conducted among more than 1,000 Australian employees. The research measured AI usage rates, time savings, and adoption by age cohort.

The findings highlight both the scale of time saved through AI tools and the emerging generational divide in workplace adoption.

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