The world Australian businesses operate in today looks nothing like it did five years ago. Six years of compounding disruption — a pandemic, armed conflicts, shifting trade alliances, and the structural integration of AI into commercial models — have created an environment where the old planning assumptions no longer hold. At Nine’s Melbourne Independent Exchange in late 2025, a panel of senior journalists and the Managing Director of Publishing laid out the forces that will define 2026. The message was clear: the ground has shifted, and strategy needs to catch up.
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The OECD expects Australia’s GDP to grow by 2.2% in 2026, while Deloitte Access Economics puts the figure at 2.1%. Both numbers look reasonable on paper. But they mask a deeper story about where that growth comes from and who captures it. Resource and energy export earnings are projected to drop from A$415 billion in 2023–24 to A$352 billion by 2026–27. Labour productivity is growing at just 0.2–0.3%, well below long-run averages. And yet household wealth has surged by $3 trillion over the past two years, driven by rising property values and superannuation returns.
The result is what economists call a K-shaped recovery — some segments are thriving while others fall behind. That makes it dangerous to read the economic headlines and assume they apply to your business. The same forces that lifted some portfolios are squeezing others, and the gap between the two is widening. If you’re building a strategy for 2026, you need to know which side of that divide you’re on — and how the global forces underneath it are actually moving. Here’s what you actually need to know.
What I tend to notice is that businesses often treat the headline GDP figure as a green light, when the data underneath tells a more complicated story. The term you’ll hear a lot in this discussion is the K-shaped economy — a recovery where the top tier pulls ahead while the middle and bottom lag behind. It’s not a new idea, but it’s becoming the defining feature of the current cycle. The 2.2% growth number hides the fact that some industries and households are doing far better than others, and the gap is widening.
This divergence matters for strategy because it means the average customer is becoming less representative of any real customer. The brands that hold up best in this environment are the ones that understand exactly which segment they serve and how those customers’ priorities are shifting.
The Cost of Misreading the New Landscape
Getting the read wrong on any of these forces comes with a concrete price tag. Start with AI. Employees have been told to use it for everything, and they are. The result is token bills that are catching finance teams off guard. Uber, a major tech adopter, chewed through its entire 12-month token budget in four months. For a business that has rolled out AI tools across the organisation, the gap between expected and actual cost can be multiples of what was budgeted. The issue isn’t adoption — it’s governance.
Then there’s the consumer side. Top-tier ASX executives are scrambling to understand why up to 30% of their customer bases are migrating toward alternative political alignments, often through independent video ecosystems on platforms like YouTube that bypass traditional media entirely. The panel at Nine’s event pointed out that while mainstream parties produce “quite lame TikToks,” populist movements are thriving in spaces many business leaders aren’t even aware of. If your customer research relies on standard demographic data, you’re missing the fracture lines that are actually driving behaviour.
The trade picture adds another layer. US tariff policy has been the biggest global development in 2025, with the effective US tariff rate rising from under 2.5% to over 11% — the largest single increase since 1930. Australia was unable to secure a full exemption despite being a treaty ally and running a trade deficit with the US. While Canberra was influential in removing tariffs on certain agricultural and critical mineral goods, the structural shift is permanent. The old assumption that open trade would continue to expand is no longer reliable. For businesses with exposure to US markets or supply chains that pass through them, supply chain planning now requires a contingency mindset rather than an efficiency-first one.
If I were looking at this from a planning perspective, the productivity figure would worry me most. The economy is projected to grow at around 2% annually, but with productivity barely moving, that growth depends on adding more hours and more people — not on getting more output from each hour. That’s a fragile foundation. When the labour market tightens or immigration slows, growth stalls. The Deloitte outlook already anticipates unemployment averaging 4.9% in 2026–27, with a possible peak at 5% across 2027–28 before rate cuts stimulate the labour market. That’s not a crisis, but it’s not the kind of buffer that absorbs strategic mistakes either.
Three Gaps in How Businesses Are Responding
Treating AI as a one-time setup cost
The most common error I see is treating AI adoption as a fixed investment rather than a recurring operational cost. The research from Nine’s panel made this explicit: CEOs are excited about opportunity but also headcount reduction, and in a non-growing economy, cost is something they are looking at very closely. The problem is that token-based AI costs scale with usage, not with headcount. If you roll out AI tools without usage governance, the cost grows faster than the savings. The fix is to put metering and approval workflows in place before deployment, not after the first budget blowout. That means tracking consumption per team, setting monthly caps, and reviewing which use cases actually generate a return.
Reading the consumer through old lenses
The research shows that up to 30% of customer bases are shifting toward alternative political and cultural alignments, often through channels that traditional marketing doesn’t track. The mistake is assuming that standard demographic segments — age, income, postcode — still predict behaviour. The political arena is mirroring fragmentation across modern media consumption, and the stability of Australia’s two-party system is being tested. The same fragmentation is happening in consumer markets. Businesses that rely on broad-brush survey data are missing the micro-segments that are actually growing. The alternative is to invest in first-party data that tracks actual behaviour rather than stated preferences, and to build campaigns that can flex across multiple cultural frames rather than assuming one message fits.
Ignoring the productivity trap
Labour productivity in the market sector rose
