Australian marketers have embraced AI adoption. The harder challenge is now connecting AI to growth. As the technology becomes commoditised, competitive advantage is shifting from artificial intelligence to organisational intelligence, writes Douglas Nicol, co-founder and head of original thinking at the Australian Centre for AI in Marketing and Karin Du Chenne, group executive director at Kantar.
For the past two years the AI conversation amongst Australian marketers has focused on adoption: which tools marketers use, how quickly teams experiment and how much productivity can be unlocked. Those questions mattered when AI was new, they matter less now.
Across Australian marketing departments, AI has already won. It is embedded in planning, content creation, research, analytics and workflow management. What was experimental is now operational.
Yet as adoption accelerates, an uncomfortable truth is emerging. The industry has become highly effective at introducing AI into marketing, but less effective at turning it into measurable growth. New Australian Centre for AI in Marketing (ACAM) and Kantar research shows 83 per cent of marketers surveyed remain in the early stages of AI maturity, exposing the gap between experimentation and execution.
The dividing line is no longer between organisations that use AI and those that do not. It is between organisations building sustainable advantage from AI and those simply generating more activity.
That distinction matters. Many teams are producing more content, running more pilots and embedding AI into more workflows than ever before. Far fewer can show those efforts are strengthening brand equity, creating customer value or delivering sustained commercial returns.
For CMOs, the risk is clear. AI is now so accessible, affordable and widely adopted that the technology itself can no longer be relied on as a differentiator. Advantage is shifting to leadership, organisational design and execution.
Mistaking momentum for maturity
The prevailing narrative suggests marketers are making rapid progress. Investment is rising, confidence is growing and use cases are spreading across functions. But most organisations have built momentum faster than capability. They have encouraged experimentation before establishing measurement frameworks, introduced AI into workflows before redesigning those workflows around growth objectives, and focused on adoption before creating the conditions needed to scale value.
This creates a dangerous illusion: activity looks like progress, even when the operating model remains unchanged. This is becoming a defining leadership challenge.
CMOs are expected to lift productivity, accelerate innovation, improve customer experiences and deliver growth while managing governance, brand risk, data challenges and organisational change. The pressure to act is immense, but speed is not strategy.
The organisations pulling ahead are not necessarily moving faster, they are moving with greater clarity. The highest-maturity AI leaders are nearly 30 times more likely to have a fully documented AI roadmap and report almost 1.8 times greater success in achieving ROI from AI investments.
The lesson is clear: advantage is created through discipline, not adoption alone. These leaders know where AI creates value, where humans should remain as decision makers and how AI investments connect to business priorities. They treat AI as business transformation, not a technology deployment exercise.
Organisational design will be the next competitive advantage
One of the most significant research findings is that AI itself is rapidly becoming commoditised. Every organisation has access to broadly similar platforms, models and tools. Over time, the benefit of access diminishes. What remains difficult to replicate is the organisational system built around the technology.
High-performing organisations are not defined by the number of use cases they implement. They connect AI initiatives to commercial outcomes, build operating models rather than isolated pilots, establish governance and decision rights, and align investment to customer and growth priorities.
In short, they treat AI as an organisational capability. This is where many businesses remain stuck. The larger opportunity is not simply productivity. AI is forcing organisations to rethink how decisions are made, how work flows and how value is created. The real advantage is not artificial intelligence. It is organisational intelligence.
The next challenge is not scale but coherence
A common assumption is that value will emerge naturally as adoption expands: more use cases, more experimentation, more learning. Our research suggests otherwise. Many organisations are scaling AI activity without achieving corresponding improvements in commercial performance.
Content production, internal adoption and executive confidence are rising, yet more than half still have fewer than five AI use cases live and most cannot link initiatives to measurable outcomes.
This creates a coherence deficit. AI initiatives remain fragmented across departments, learning is not shared effectively, roadmaps remain incomplete and 96% of organisations surveyed lack a clear 24-month AI blueprint. Individual projects often sit disconnected from broader growth objectives.
The consequence is that gains do not compound. Successful initiatives may create value in isolation, but few create organisational advantage. For CMOs, the role is shifting from approving investment and championing innovation to orchestrating a coherent growth system. Without coherence, AI becomes a collection of disconnected experiments. With coherence, it becomes an engine for competitive advantage.
Risk may not be inefficiency but sameness
While most AI discussions focus on productivity, marketers should be just as concerned about differentiation. Generative AI can produce copy, imagery, video and creative assets at scale, reshaping marketing economics.
But abundance creates a strategic problem. When organisations use similar models, data sources and prompt structures, outputs begin to converge. The result is not necessarily poor marketing. It is increasingly similar marketing.
Kantar’s Blueprint for Brand Growth shows that successful brands are built through meaningful difference: being relevant, distinctive and difficult to replace. If AI accelerates standardisation, it threatens a brand’s ability to stand apart. This is why advanced marketing leaders are reframing their approach. They are not asking how AI can replace creativity, but how it can amplify it. In a world flooded with synthetic content, human distinctiveness may become the scarcest and most valuable resource.
The CMO agenda is changing
The next generation of successful CMOs will not be distinguished by how enthusiastically they adopt technology, but by how effectively they orchestrate it. Their focus will extend beyond use cases and efficiency gains to growth-led roadmaps, machine-ready data, accountable experimentation and operating models that connect strategy, execution and measurement.
Culture will be central. Seven in ten AI marketing leaders actively enable safe experimentation, compared with just over a quarter of other organisations. The companies moving fastest are creating environments where learning compounds, capability scales and employees can adapt confidently.
Above all, every AI initiative must answer one question: how does this create growth? The next phase will not be won by organisations that move fastest or deploy the most tools. Speed is becoming a baseline capability. Advantage will belong to those with the discipline to convert AI into stronger brands, better customer experiences and sustainable commercial outcomes.
Australia has largely solved the adoption challenge, but the growth challenge remains. Where AI is becoming ubiquitous, growth will belong to the organisations that turn artificial intelligence into organisational intelligence.
