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There’s a familiar tension building again in Australia: headlines about layoffs and restructuring sit alongside a resilient — even optimistic — share market. Fund managers talk about productivity gains, margin expansion, and the long-term upside of artificial intelligence. Meanwhile, households are grappling with cost-of-living pressures, job uncertainty, and stubborn inflation.
It can feel contradictory. If things are getting tougher for everyday Australians, why does the market seem relatively upbeat?
The answer lies in a simple but often misunderstood truth: the stock market is not the economy. And in the AI era, the gap between the two could become even more pronounced.
At a high level, the economy and the stock market measure very different things.
The economy reflects broad activity — employment, wages, consumption, business investment, and overall living standards. It’s about how people are doing.
The stock market, on the other hand, reflects the expected future profitability of listed companies. It’s about how businesses — particularly large, listed ones — are expected to perform.
That distinction matters.
A company can increase profits by cutting costs faster than revenue falls. One of the largest costs? Labour. So paradoxically, layoffs and automation — painful in the real economy — can be positive signals for investors if they improve margins.
This divergence tends to show up most clearly during periods of structural change. AI is shaping up to be one of those periods.
Here are a few forces pushing the two apart:
AI allows businesses to reduce headcount in repetitive, rules-based roles — admin, customer service, basic analysis, even parts of finance and legal. That reduces operating costs and can boost profitability quickly.
From a market perspective, that’s a win.
From an economic perspective, it means job displacement and income uncertainty.
In theory, productivity improvements should lead to higher wages over time. In practice, there’s often a lag — sometimes a long one.
If productivity gains are captured primarily by companies (and therefore shareholders), the market benefits first. Workers may not see those gains until later — if at all.
The ASX, like global markets, is dominated by large firms — banks, miners, and a growing cohort of tech-exposed companies. These firms are best positioned to invest in AI and capture its benefits.
Small businesses, which employ a significant portion of Australians, often lag in adopting new technologies. That creates a split where listed companies thrive while parts of the broader economy struggle.
Many listed companies generate earnings globally. Even if domestic conditions soften, strong offshore performance can support share prices.
Your local job market might weaken while “your” companies are still doing fine overseas.
What we may be heading toward is a more pronounced K-shaped environment:
This isn’t new — technology has always disrupted labour markets — but AI is accelerating the speed and breadth of change.
The key difference this time is how quickly entire categories of “white-collar” work are being affected. Roles once considered safe are now exposed
Normally, rising unemployment would cool inflation and prompt central banks to ease. But the current environment is more complex
If AI reduces labour costs while supply-side constraints (housing, energy, global tensions) keep prices elevated, we could see pockets of unemployment alongside persistent inflation.
That’s an uncomfortable mix:
For investors, this divergence reinforces a few important realities:
But it also highlights something equally important:
For non-investors — or those with limited exposure — the benefits of market growth are less tangible. If wages stagnate while asset prices rise, inequality can widen.
That’s where superannuation plays a crucial role in Australia. Even if people aren’t actively investing, they are still market participants through their super. Understanding how your super fund is positioned for the AI era – including its exposure to growth assets – is key. We can discuss this as part of a comprehensive review. Over time, that helps bridge the gap — but it doesn’t eliminate short-term pain.
It’s easy to talk about productivity in abstract terms. But behind every “efficiency gain” is a real person navigating change.
Transitions matter.
Historically, economies have adapted — new jobs emerge, industries evolve, and skills shift. But the speed of AI adoption raises a key question: can the workforce transition quickly enough?
If not, we may see prolonged periods where:
Markets remain strong,
Corporate profits grow,
But segments of the population feel left behind.
The growing gap between the stock market and the economy isn’t a contradiction — it’s a reflection of how each system works.
AI is likely to amplify that gap:
boosting productivity and profits,
while disrupting employment and wage dynamics in the near term.
For policymakers, the challenge will be managing the transition. For businesses, it’s balancing efficiency with responsibility. For individuals, it’s understanding that market performance isn’t always a proxy for economic wellbeing.
And for investors, it’s a reminder that the uncomfortable truth still holds: The market can do well even when people are struggling.
Recognising that distinction — and planning for it — will matter more in the years ahead than it has in decades.
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