Australia services productivity debate reshapes wage growth outlook

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Australia services productivity debate

Highlights

Research from the Productivity Commission and Australian Bureau of Statistics suggests Australia's services productivity may be underestimated due to incomplete measurement of health, education and care outcomes.
Services make up over 60% of GDP and one in six jobs, meaning mismeasured productivity could distort policymaker assumptions about wage growth and economic weakness.
Current output-based productivity metrics risk misrepresenting operational realities in frontline work and may require revision to better guide wage, efficiency and macroeconomic policy.

How service-sector output is being reassessed

As reported by ABC News, a growing body of research suggests Australia’s productivity slowdown may be overstated because traditional measures do not fully capture outcomes delivered in human-based services. That concern is gaining weight as services account for more than 60 per cent of annual GDP and about one in six workers are employed in health, social services or education.

Productivity measures how much output the economy generates from inputs such as labour hours, capital or both. While that framework works relatively clearly in manufacturing, critics argue it is less effective in sectors where value comes through improved health, learning, safety or long-term social stability rather than a simple count of units produced.

Emeline Gaske, national secretary of the Australian Services Union, says public discussion has done a poor job of explaining what productivity looks like in community services. She argues that work such as supporting women escaping family violence cannot be assessed in the same way as factory output, even though it generates economic and social value.

Productivity Commission deputy chair Alex Robson says Australia is not unique in facing this problem, as advanced economies shift from making goods to intellectual labour and human-delivered services. Toby Phillips says research adjusting for outcomes significantly changes the picture, citing Productivity Commission and Australian Bureau of Statistics findings that suggest stronger performance once patient results, learning outcomes and public-sector efficiency are included.

Implications for wages and economic policy

How productivity is measured matters because policymakers often link stronger wage growth to higher productivity. If official data undercount the contribution of service industries, that could distort debate over why wages remain weak and whether sectors such as health, education and community care are dragging on national performance.

Phillips argues that the same publications influencing government decisions sometimes acknowledge improved outcomes in service delivery, then still cite growth in those sectors as part of the national productivity slowdown. In his view, that creates a misleading narrative about where economic weakness is emerging.

Frontline workers say crude output metrics can also misrepresent operational reality. Georgia Harraway-Jones, who supports people facing homelessness, addiction, mental health challenges and poverty in Melbourne, says doubling her caseload from 19 clients might look more productive on paper but would undermine the quality and complexity of care required.

That tension sits at the centre of a broader policy challenge for Australia, where care, teaching and social support now form a large share of employment and output. If official metrics do not reflect the full value created in those sectors, the assumptions used to judge wages, efficiency and broader economic capacity may need to change.

In our earlier article on how AI is reshaping business competitiveness and productivity, we explained that rapid adoption of artificial intelligence is raising the baseline for acceptable performance and pushing companies to rethink strategy and operating models. We also noted that firms using AI to automate processes and lift efficiency can strengthen their market position, while those that fail to adapt risk losing relevance as expectations rise across sectors.

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