Australia’s long-running productivity crisis is coming under fresh scrutiny as economists question whether conventional statistics are accurately measuring improvements across a services-dominated economy.
More than 60% of Australian economic output now comes from services including healthcare, education, professional services and community care.
Traditional productivity measures work particularly well in industries such as manufacturing, agriculture and mining, where output can be measured through physical goods.
Measuring improvements in services is much more difficult.
A nurse providing better care or a teacher delivering improved educational outcomes may be creating greater economic value without producing a larger quantity of measurable output.
Wage debate could be affected
The issue matters because productivity growth is closely linked to sustainable wage increases and the Reserve Bank’s inflation outlook.
Policymakers have repeatedly argued that weak productivity limits how quickly wages can increase without adding to inflation.
However, if productivity gains in services are being underestimated, the economy may have more capacity for wage growth than headline figures suggest.
Australia is not alone.
Advanced economies have increasingly shifted away from manufacturing towards industries where quality improvements are difficult to capture statistically.
Artificial intelligence could make the problem even more complicated.
AI may allow workers to complete tasks faster or provide higher-quality services, but measuring the economic value of those improvements could take years.
The debate does not mean Australia has no productivity challenge.
Investment, competition and regulatory reform remain important.
But it does raise a more fundamental question: whether an economic measure developed for an industrial economy still accurately captures productivity in one increasingly built around knowledge, care and services.
