Artificial intelligence is everywhere. It is drafting marketing plans, writing code, preparing legal briefs and advising small business owners on pricing strategy. The debate is often framed in terms of productivity, and rightly so. Yet focusing only on output risks missing another shift. AI is also changing what is scarce.
Economists have long built their thinking around signals. Degrees signal skill. output signals effort. Expert advice signals judgement. These proxies have never been perfect, but they have generally been reliable enough to guide decisions by firms, investors and policymakers. Artificial intelligence is beginning to weaken some of these connections. That matters for how Australia positions itself in an increasingly volatile global economy.
One place where the change is especially visible is the labour market. For decades, the dominant story in advanced economies was skill‑biased technological change. New technologies increased demand for highly educated workers, widening the earnings gap between graduates and non‑graduates. The prescription was straightforward: expand access to education and productivity gains would follow.
AI throws a digital spanner in the works. Large language models can now draft extensive consulting reports and produce complex strategy documents. Tasks once seen as the preserve of professionals can be performed on demand. Early evidence suggests that these tools often lift the productivity of less experienced workers more than that of top performers. Instead of amplifying innate ability, they can compress differences in performance.
This does not mean inequality will necessarily fall. Gains in productivity can still be captured by tech owners, and displaced workers may compete for new roles in ways that put downward pressure on wages. But the key point is that scarcity is shifting. Routine cognitive skill may become less valuable than judgement under uncertainty. The premium could move toward those who frame problems, detect errors and bear responsibility when decisions go wrong.
This has big implications for Australian firms. Hiring strategies that once relied heavily on formal credentials may need to place greater emphasis on adaptability and critical thinking. Training systems may need to focus less on the accumulation of knowledge and more on the capacity to deploy it wisely. In a world where intelligence is increasingly available as software, the ability to exercise judgement becomes a central economic asset.
A second shift concerns the nature of expertise. Historically, professional services were built on the scarcity of information. Doctors, management consultants, lawyers and accountants commanded high fees because they possessed specialised knowledge that clients could not easily access. Artificial intelligence is eroding this informational advantage. Advice is becoming cheaper and more widely available.
Yet the erosion is partial. Information can be scaled. Accountability cannot. Someone still signs the audit, approves the treatment plan, hands down the legal judgment or certifies the safety of a building design. When outcomes are uncertain and stakes are high, trust remains indispensable. The likely result is a bifurcation in professional markets. Routine guidance will be increasingly automated. Human experts will concentrate in roles where responsibility, ethical judgement and institutional authority matter most.
This transition is already visible in sectors such as healthcare and finance, where AI systems assist practitioners but do not replace them. It suggests that the economic value of expertise will shift from possessing information to exercising discretion. For a country such as Australia, with strong regulatory institutions and well‑established professional standards, this could prove an advantage. Trust is an economic resource as surely as capital or labour.
A third shift is international. Artificial intelligence makes certain forms of cognition more tradable. Tasks that once required proximity to deep pools of skilled labour can now be performed remotely with the aid of digital tools. This development has the potential to narrow productivity gaps between advanced and middle‑income economies. It also intensifies competition in global services.
This means that countries that combine human capability with artificial cognition in productive ways may capture disproportionate gains. Those that hesitate could find themselves losing ground even if their underlying talent base remains strong.
Technology rarely dictates outcomes on its own. Institutions, managers, employees and policy settings shape how innovations diffuse. The history of electricity provides a useful example. Early adopters saw limited productivity gains until factories redesigned workflows to exploit the new power source. Artificial intelligence may follow a similar trajectory. The largest benefits are likely to come from complementary investments in skills, infrastructure and competition.
Australia begins this transition with notable strengths. Our technology firms have demonstrated global ambition. Our universities contribute valuable research. Our digital infrastructure continues to expand. Yet the pace of change is quickening. The key challenge is to ensure that ideas move rapidly from laboratories to start‑ups and from start‑ups to international markets.
Public policy has a role to play. Competition frameworks must remain robust enough to keep markets open to new entrants. Skills systems must evolve to prepare workers for roles that combine technical understanding with sound judgement. Investment in digital and energy infrastructure must keep pace with rising demand for computing power.
Ultimately, artificial intelligence is not only a productivity‑boosting tool. It alters the informational environment in which economic decisions are made. Signals that once guided hiring, investment and consumption are becoming noisier. Scarcity is migrating from information toward judgement, responsibility and institutional trust.
Australian businesses that adapt quickly may discover new opportunities in global markets. Professionals who cultivate discernment rather than routine expertise may find their roles strengthened rather than diminished. Decision makers who focus on diffusion as well as invention can help ensure that technological gains translate into higher living standards.
Economic history suggests that societies prosper when they recognise such shifts early. The three‑masted sailing ship, steam engine, electrification and the internet all reshaped what it meant to be productive. Artificial intelligence is likely to do the same. The task now is to understand where the new bottlenecks lie and to build an economy capable of moving past them.
Note: this article is adapted from 'Rethinking economic foundations in an AI world'.
