AI is rewriting marketing. Most organisations are still responding at the surface
May 5, 2026
7
mins read
Marketing budgets have barely moved year on year.
Across industries, they continue to sit at roughly 7–8% of company revenue, a level that has stayed largely unchanged over the past few years. What has changed, quite significantly, is what marketing is now expected to deliver.
All of this, within the same broad constraints.
That gap between expectation and resource is beginning to tell us something important.
The pressure on marketing is not just operational. It is structural.
And it is being driven, in large part, by how AI is reshaping the environment marketing operates in.
Marketing has always evolved with technology, but the current shift feels more foundational than most.
AI is not simply adding new tools to the stack. It is changing how people search, how content is surfaced, and how decisions are shaped before a brand even enters the consideration set.
In many cases, the first interaction is no longer with a website or an ad. It is with a response generated elsewhere.
That changes the role marketing plays.
For a long time, it made sense to think of marketing as the function responsible for communicating value. That still holds, but it is no longer the full picture. What is emerging is something more interconnected, where media, content, data, platforms, and technology are working together as part of a broader system that drives growth.
Most organisations are responding in familiar ways.
They are adding tools, upgrading platforms, and layering AI into existing workflows.
Much of this is necessary. But it tends to operate at the level of execution, while the shift itself is happening at the level of infrastructure.
That mismatch is where friction begins to show.
Where, capability increases, but advantage does not always follow.
The tools being adopted are widely available to everyone. The platforms shaping visibility are shared by competitors. And as adoption grows, differentiation becomes harder to sustain.
It is why many marketing teams today feel both more capable and more constrained at the same time. They can do more than before, but they do not always influence outcomes in a meaningful way.
A few shifts are becoming harder to ignore.
None of these changes are fully settled yet. But together, they point to a shift that sits beneath campaigns and channels.
In APAC, these shifts tend to surface in more complex ways.
There is no single consumer behaviour or platform dynamic that applies across the region. Markets move at different speeds. Languages, trust signals, and digital maturity vary widely.
What works in one market does not always translate cleanly into another.
For multi-market players this makes it harder to rely on standardised approaches.
Tools and strategies built for more uniform environments ( mostly built for western markets) often need to be adapted, sometimes significantly, to be effective here.
For marketing leaders in APAC, the challenge is not just to keep up with change, but to interpret it correctly within their own context.
At Roar Global, much of our work has been grounded in these realities. Building and scaling companies across different parts of the region has shaped how we think about change. Less as something to react to, and more as something to build into deliberately.
For most CMOs, this shift is not abstract. It shows up in very practical ways.
And increasingly, the systems underneath all of this do not feel fully connected.
Which makes decision-making slower than it should be, and impact harder to scale.
This is usually the point where more tools get added. But more tools do not always solve fragmentation. Sometimes they deepen it.
When we looked at these patterns across our work, a few things became clear.
The gaps were not just in execution. They were in how the system itself was set up.
So instead of only optimising campaigns or adopting more tools, we started building into those gaps directly.
BrandRadar came from one of those observations – that as AI systems begin to influence discovery, brands need a clearer way to understand how visible they are inside that layer, and how to improve it.
But that is only one part of the picture. Another gap we kept seeing was around talent.
Many organisations want to move faster with AI, but struggle to find people who can actually implement and operationalise it inside their business. That is where Apex AI comes in – not as a traditional hiring model, but as a way to embed AI capability directly into teams, so progress does not stall at the idea stage.
And then there is the question of interaction.
A lot of marketing effort still drives users into experiences that feel static and disconnected from intent. Forms, rigid funnels, and fragmented CRM systems often fail to capture what people actually need in that moment.
FormShift was built in response to that – to make customer interaction more conversational, more adaptive, and ultimately more useful for both the user and the business.
None of these were built as standalone ideas. They came from recurring friction points we kept seeing across markets.
Roar Labs exists to take those patterns seriously – to move from observing them to building around them.
It is still early. The patterns are still forming, and not fully settled.
Some organisations will continue to adapt within existing structures.
Others will begin to reshape those structures more fundamentally.
Over time, that difference tends to compound.
From where we sit, the direction is becoming clearer.
Marketing is moving closer to infrastructure. Closer to systems. Closer to how growth is actually built and sustained. And the advantage, increasingly, is going to come from those who choose to build with that change early – rather than adjust to it later.
At Roar Global, that is the role we have stepped into - building ventures across marketing, platforms and AI.
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