Australia Doesn't Have A Productivity Problem. It Has A Decision-Making Problem.

Today we saw a familiar headline in Australia. One that describes stubbornly weak productivity. At the same time, we hearing that organisations have spent the last two years investing heavily in artificial intelligence, automation and digital transformation. If you only looked at the level of investment, you'd expect productivity to be moving in the opposite direction.

Whu isnn't

That's what we find interesting.

Because perhaps we're asking the wrong question.

The conversation has largely focused on whether AI is delivering a return on investment. Deloitte recently found Australian organisations continue to lag global peers in turning AI into meaningful business transformation. BCG, meanwhile, reports that employees using AI regularly are saving hours every week. Yet at a national level, productivity has barely moved.

So where is all that time going?

After speaking with dozens of strategy leaders over the past year, we don't think the answer lies in the technology itself.

Perhaps It lies in how organisations make decisions.

Almost every strategy leader we speak to describes a version of the same organisation.

An organisation where decisions move slowly. Where every initiative requires another steering committee and priorities are reviewed so frequently that teams hesitate to commit. Reporting grows every year, but very little reporting is ever removed. Approval processes designed to reduce risk end up delaying the very changes the business is trying to make.

But none of these thing show up on a balance sheet or in the productivity statistics.

Yet together they can shape how quickly an organisation can respond.

Perhaps this is why so many AI projects disappoint.

We expect technology to accelerate work, while leaving the decision-making system around that work completely unchanged.

An employee may draft a report in half the time, but the report still waits three weeks for approval.

A strategy team may produce better scenarios using AI, but the organisation still spends six months trying to agree which option to pursue.

For years we've tended to think about productivity as an efficiency problem. How can we produce more with fewer resources?

Perhaps though, strategy leaders should be thinking about productivity as a decision problem instead.

How many people need to approve a pricing change?

Or, how many governance forums discuss the same initiative?

Those questions rarely feature in productivity debates.

The irony is that most organisations don't deliberately design slow decision-making. It accumulates over time. Every incident creates another control. Every transformation introduces another governance meeting. Each addition seems reasonable in isolation, but collectively they create friction that no technology can remove.

Used well, AI will undoubtedly reshape how organisations operate. But, for now, the businesses that benefit most may not be those with the best models or the largest technology budgets. They may simply be the organisations that can make good decisions faster than everyone else.

If Australia's productivity debate continues to focus solely on technology, do we risk missing the more fundamental issue?