AI marketing is entering its next phase. Most brands are NOT ready for it.

It is NOT the next performance channel but something else...

There is a familiar pattern in marketing whenever a new channel emerges. Early adopters rush in, performance looks exceptional, and budgets follow. Then, gradually, the returns begin to flatten. Costs rise, competition intensifies, and what once felt like a breakthrough starts to look like business as usual.

AI chatbots and conversational interfaces are moving through that same cycle, only at far greater speed and for marketers across APAC, this moment feels particularly compressed. Ours is a region defined by platform fragmentation, super apps, and rapid shifts in consumer behaviour. E-commerce continues to grow at double-digit rates here, with new formats such as video commerce reshaping how consumers discover and buy products . In many markets, video already plays a role in more than 40% of shopping journeys .

AI doesn’t replace this complexity, it sits on top of it. The temptation, as always, is to treat AI as the next performance channel to optimise but that would be a catastrophic mistake.

Photo by Declan Sun on Unsplash

From search to answers

For two decades, digital marketing has largely been built around search and social. Consumers expressed intent through keywords or behaviours, and brands responded with targeted messages designed to convert that intent into action.

AI changes that dynamic because, Instead of searching, consumers increasingly ask. And instead of navigating multiple sources, they receive synthesised answers. The interface is no longer a list of options but a single, curated response.

This compresses the decision journey thereby reducing the number of opportunities brands have to influence it. Nevermind trying to get our brands seen, how do we get them selected?

The limits of optimisation

Much of modern digital marketing has been optimised for measurable, short-term outcomes. Attribution models reward channels closest to conversion and budgets, typically, follow. Over time, this creates a system that is highly efficient at capturing existing demand, but far less effective at creating new demand and we have seen the consequences of this approach.

Over-investment in performance activity leads to diminishing returns as the pool of in-market consumers becomes saturated. At the same time, underinvestment in brand reduces the effectiveness of those same performance channels over time.

AI accelerates this dynamic because when fewer touchpoints exist, there are fewer levers to pull. The idea that incremental optimisation alone can sustain growth becomes harder to defend.

Brand becomes the signal

If AI intermediates the relationship between brand and consumer, what determines which brands are surfaced in the first place? The answer lies in something many organisations have deprioritised. BRAND

Across industries, our ROI Genome data consistently shows that brand investment increases the effectiveness of performance activity and delivers higher overall returns. Shifting from a performance-only approach to a balanced strategy can increase revenue returns by as much as 90% and in an AI-driven environment, this takes on a new dimension.

AI systems interpret authority, relevance and credibility based on patterns in data. Brands with stronger recognition, clearer positioning and broader presence are more likely to be surfaced, recommended and trusted. Where brand used to be a drive of preference, it’s now an input into the answer itself.

A smaller shelf, a bigger risk

Traditional digital environments offered near-infinite shelf space. Search results, social feeds and marketplaces allowed multiple brands to compete for attention. Conversational AI i.e. chatbots, reduces that space dramatically.

Instead of ten blue links or an endless scroll, there may be one or two recommendations, which creates a structural shift. The risk is no longer inefficiency, it is invisibility. Brands that rely solely on performance mechanics risk optimising themselves out of consideration.

The system gets more complex, not less

There is a tendency to think of AI as simplifying marketing whereas, in reality, it does the opposite.
It interacts with search, commerce, content and customer experience simultaneously. It blurs the boundaries between paid, owned and earned media. It compresses the funnel while making it less linear.

This reinforces a long-standing principle; growth is rarely driven by marketing alone. Again, according to ROI Genome, across industries marketing typically contributes between 5% - 20% of business performance, with the majority driven by factors such as distribution, pricing and broader market dynamics. AI does not change this.

What CMOs should do next

The immediate priority is not to chase AI as a tactic, but to strengthen the foundations.

1. Rebalance investment.
   Budgets skewed too heavily towards performance will struggle to scale in AI-mediated environments. A combined approach, where brand and performance work together, consistently delivers stronger returns, with combined-channel strategies achieving significantly higher ROI than single-channel approaches .

2. Evolve measurement.
   Attribution models are poorly suited to a world where influence is diffuse and mediated by AI. More holistic approaches are required to capture both short-term and long-term effects.

3. Think beyond marketing.
   AI will expose weaknesses in distribution, pricing and customer experience just as quickly as it highlights marketing inefficiencies. A narrow focus on media optimisation will not be enough.

4. Build stronger signals.
   In a world where AI curates the answer, brands need to send clearer, more consistent signals across every touchpoint. This includes brand, but also product, experience and availability.

The next phase of AI marketing

AI will continue to evolve and its role in the consumer journey will no doubt expand too. Its influence on decision-making will likely deepen. But it will not reward more optimisation, it will reward stronger signals. For CMOs, that requires a shift in mindset away from chasing incremental gains in isolated channels and towards building a system that works as a whole.

At the end of the day AI may change the interface but it doesn’t change the objective and brands that recognise that will not only adapt to AI but bend it to their advantage.

Speak to our modelling experts to understand how your brand shows up in an AI-driven landscape and where your investment is truly driving growth. The answers may be more revealing than your dashboards suggest.