Nikki Davey.
Nikki Davey, Head of Innovation, Kantar Australia
For a long time, innovation was framed as a question of creativity. How good were the ideas. How bold the thinking. How quickly teams could move from concept to execution. That framing no longer feels adequate.
The conditions Australian businesses are operating in have shifted. Volatility is not something to be navigated and put behind us. It has become part of the landscape. Consumers are under pressure. Costs remain sticky. Expectations have narrowed. Across households and categories, people are adjusting how they spend, what they prioritise and which brands earn their confidence.
What is striking is not how fearful Aussie consumers are, but how pragmatic they have become. Many expect conditions to worsen rather than improve, yet they have not disengaged from the market entirely. Instead, they are making sharper judgements. Delaying some purchases. Re‑evaluating others. Raising the bar on what feels worth it. For businesses, this has changed the nature of the innovation challenge.
It is no longer enough to generate ideas or chase novelty. The harder task is deciding which initiatives deserve investment, focus and organisational commitment. In an environment where margins are tighter and tolerance for missteps is low, hesitation has become expensive.
This is where artificial intelligence is quietly starting to matter.
Much of the discussion around AI has centred on productivity gains. Automating repetitive tasks. Accelerating output. Reducing cost. These benefits are real, but they are not what most leadership teams are struggling with. The more pressing problem is uncertainty.
When demand is fragmented and signals are noisy, decision-making slows. Opportunities feel harder to read. Risk becomes more difficult to price. In that context, speed alone is not helpful. What organisations need is confidence in where they are placing their bets. Used well, AI contributes less by moving faster and more by clarifying choices.
By drawing together behavioural, cultural and contextual data at scale, AI can reduce ambiguity earlier in the process. It helps organisations see patterns that traditional approaches often miss, and challenge assumptions inherited from more stable times. In doing so, it strengthens judgement rather than replacing it. This distinction is important because innovation today sits much closer to capital allocation than creative exploration.
Australians have not abandoned brands but are increasingly selective.
Many consumers are delaying major purchases, scrutinising value and reassessing what delivers meaningful return, whether that return is functional, emotional or simply peace of mind. In such conditions, launching ideas that are poorly aligned or weakly differentiated quickly becomes costly.
The organisations seeing real return from AI are not those generating the most concepts. They are the ones using it to narrow focus sooner. To test assumptions earlier. To sequence investment rather than commit everything at once. The outcome is not more innovation activity, but greater confidence in where effort and capital are directed.
As AI matures, its role is expanding from isolated tools to something more connective. It is increasingly embedded across the innovation journey, from identifying opportunity through to launch and optimisation. This matters because it brings innovation closer to commercial discipline.
The question facing leadership teams now is what intent sits behind AI adoption.
Consumers are adapting actively to the pressures they face. Most have already made changes to how they live and spend. This is not a market waiting on the sidelines. It is one recalibrating in real time. Innovation that ignores this reality risks misreading demand and misallocating resources.
When AI is used purely to accelerate production, it can amplify noise. When it is used to support decision-making, it can sharpen meaning. The distinction lies in whether organisations see AI as a productivity lever or a strategic one. Three shifts are particularly telling.
- Moving beyond averages. Consumer behaviour is more polarised than it appears on the surface. People may trade down aggressively in one category while holding firm in another. Innovation built around broad assumptions struggles to perform in this environment. AI helps reveal where those tensions sit and which opportunities are robust enough to justify investment.
- Learning earlier, while options are still open. Under pressure, the cost of late correction rises sharply. AI enables testing and refinement earlier in the process, before scale hardens decisions. For leadership teams, this is less about experimentation and more about risk management.
- Committing with conviction. Innovation rarely fails because the ideas are too ambitious. More often, it falters when organisations hesitate, second‑guess or lose alignment at critical moments. By synthesising insight across markets and touchpoints, AI can help leaders cut through complexity and make directional calls with greater confidence.
Many businesses are still using AI tactically. The larger opportunity lies in treating it as connective tissue across the organisation’s growth system. Done well, this is not about moving faster for its own sake. It is about improving the quality of decisions that shape long-term return.
AI does not make companies bold. People do.
What AI offers is leverage. The ability to see risk more clearly, assess opportunity more accurately and act with greater assurance when it matters. In an economy marked less by optimism than by realism, that confidence is becoming one of the most valuable growth assets organisations can build.