Artificial intelligence is rapidly changing the advertising landscape, and media buying is one of the areas attracting the most attention. From automated bidding and predictive analytics to audience targeting and campaign optimisation, AI promises to make advertising faster, smarter and more efficient. For Australian advertisers, however, separating genuine opportunities from exaggerated claims is becoming increasingly important.
Australia's digital advertising market is already highly competitive. Internet advertising reached $19.8 billion in FY2026, growing 14% year on year, while video advertising increased by 18.8%. As more advertising dollars move into digital environments, advertisers are looking for ways to improve performance while controlling waste and maintaining transparency.
Where AI Is Making a Real Difference
Faster media planning and analysis
Traditional media planning can involve analysing audience data, historical campaign results, market conditions, media costs and channel performance. AI can process large quantities of information far more quickly, helping advertisers identify patterns that may otherwise take considerable time to uncover.
This does not necessarily mean AI should make every planning decision. Rather, it can support planners by highlighting potential audience segments, identifying performance trends and modelling different budget scenarios. The human planner can then assess whether those recommendations make sense within the broader campaign strategy.
For a media agency Sydney advertisers work with, this combination of automated analysis and human judgement can be particularly valuable when campaigns span multiple channels and audience groups.
Smarter bidding and optimisation
Automated bidding is not new, but AI is making optimisation increasingly sophisticated. Advertising platforms can adjust bids according to signals such as audience behaviour, device, location, time, conversion likelihood and previous campaign performance.
The real benefit is scale. An AI-powered system can make thousands of small optimisation decisions far faster than a person could manually.
However, automation is only as effective as the objectives and information it receives. If an advertiser tells the system to prioritise clicks when the actual business objective is qualified leads or sales, the technology may successfully optimise towards the wrong outcome.
This is where the hype around AI can become misleading. Automation does not automatically equal effectiveness.
Predictive audience targeting
AI can also help advertisers identify audiences that are more likely to engage or convert. By analysing behavioural and contextual signals, systems can predict which users may be more valuable for a particular campaign.
For Australian advertisers, this can be particularly useful when audiences are spread across different states, cities, demographics and media environments.
Yet targeting should not become overly narrow. A campaign that focuses exclusively on people who appear most likely to convert immediately may miss potential customers who are still in the awareness or consideration stages.
Good media buying therefore requires a balance between immediate performance and long-term audience development.
Where the Hype Gets Ahead of Reality
AI cannot replace strategic thinking
One of the biggest misconceptions is that AI can completely replace media buyers and planners. In reality, technology is better viewed as a powerful decision-support tool.
AI can analyse data, identify patterns and automate repetitive processes. It does not automatically understand a company's positioning, competitive environment, customer motivations or broader commercial priorities.
A strong media strategy still requires people to ask the right questions.
Who are we trying to reach? Why should they care? Which channels are appropriate? How much frequency is enough? What role should each channel play? How should success be measured?
AI can assist with these questions, but it does not eliminate the need for strategic judgement.
More data does not guarantee better decisions
AI systems depend heavily on the quality of the information they receive. Poor-quality, incomplete or misleading data can result in poor recommendations.
This is particularly important as Australian advertisers operate across increasingly fragmented environments, including search, social, video, connected TV, audio, digital out-of-home and other digital channels.
More data can create more complexity rather than more clarity. Without reliable measurement and clearly defined objectives, advertisers may end up using sophisticated technology to optimise campaigns without truly understanding whether those campaigns are contributing to meaningful business outcomes.
Transparency remains essential
As AI becomes more involved in media buying, transparency is becoming increasingly important. Australian buyers are demanding clearer information about inventory quality, campaign delivery, supply paths and non-working media costs. Recent industry research into programmatic digital out-of-home found that buyers are increasingly focused on proving the value of technology rather than simply being told about its capabilities.
The same principle applies to AI.
Advertisers should understand what the technology is optimising, which data is being used, what assumptions are being made and how performance is being measured.
Human creativity still matters
Media buying is not purely mathematical. Context, creativity and consumer behaviour all influence whether advertising makes an impact.
AI can help determine where, when and potentially to whom an advertisement should appear. It cannot guarantee that the message will be relevant, memorable or culturally appropriate.
This matters in Australia, where audiences are diverse, and advertising needs to reflect local expectations and sensitivities. Recent Australian research found that 72% of Australians surveyed were concerned about AI-generated advertising content, while 64% believed disclosure should always be required when advertising contains AI-generated content.
Trust therefore needs to remain part of the equation.
A More Realistic Role for AI in Media Buying
Use AI as an accelerator, not an autopilot
The most practical approach for Australian advertisers is to use AI to accelerate processes that already have a clear strategic purpose.
AI can help with:
- Audience analysis
- Budget modelling
- Bid optimisation
- Campaign forecasting
- Performance monitoring
- Pattern identification
- Creative testing
- Reporting and data analysis
- Cross-channel optimisation
But humans should remain responsible for setting objectives, evaluating recommendations and making important strategic decisions.
Focus on business outcomes
AI should not be judged simply by how quickly it can generate a media plan or reduce manual work.
The better questions are: Does it reduce wasted spend? Does it improve reach? Does it increase qualified conversions? Does it help advertisers understand their audiences? Does it make campaign measurement more useful?
These questions shift the conversation from AI as a fashionable technology to AI as a practical business tool.
Start with controlled experimentation
Advertisers do not need to transform their entire media strategy overnight. Testing AI-assisted approaches in selected campaigns can provide useful evidence before larger-scale adoption.
Set clear objectives, establish a baseline, test the AI-assisted approach, and compare meaningful outcomes. This creates a much more reliable picture of whether the technology is delivering genuine value.
The Future Is Likely to Be Human + AI
AI in media buying is neither a miracle solution nor empty hype. The technology is already delivering genuine benefits in areas such as automation, optimisation, prediction and data analysis. At the same time, its capabilities are sometimes overstated, particularly when it is presented as a replacement for strategic expertise.
For Australian advertisers, the strongest approach is likely to be a partnership between technology and human expertise. AI can process information at remarkable speed, identify opportunities and automate repetitive decisions. Experienced professionals can provide context, challenge assumptions, protect brand suitability and connect media activity with wider business objectives.
As Australia's advertising market continues to grow and become more fragmented, that balance will become increasingly important. AI may make media buying more efficient, but efficiency alone is not the goal. The real goal is making better advertising decisions.
The advertisers most likely to benefit from AI will not necessarily be those using the most advanced technology. They will be the ones who understand where AI genuinely adds value, where human judgement remains essential, and how to measure the difference between the two.
