Yesterday, while grabbing coffee after church, a friend vented to me, “Aleks, why does my dad’s generation trust AI-generated influencers so much? They treat them like real people with credible opinions, but won’t listen when I tell them to look for actual facts.”
It instantly hit me: the marketing world is facing the exact same problem. There’s a massive disconnect between what we think AI is doing and what the audience actually feels. Recent Braze research highlighted by MarTech proves this point perfectly: while 93 per cent of marketers are convinced AI helps them understand customers better, only 53 per cent of consumers feel brands accurately predict their needs.
We find ourselves in a “high-capability, low-trust” paradox. While marketing teams are sprinting ahead with AI adoption, consumers remain deeply sceptical about how and why brands are using these tools.
The core issue isn’t a technology problem; it’s a trust problem. And for brands looking to scale across diverse markets in Asia and beyond, realising that difference is the key to survival.
The rise of the AI intermediary
The implications of this trust gap are profound. Today, 19 per cent of consumers are already using AI intermediaries to interact with brands, a number expected to surge to 46 per cent in the near future. However, more than half of consumers expect brands to use AI in self-interested ways (like cutting costs) rather than to actually improve the customer experience.
When your customers view your technology as a barrier rather than a benefit, visibility and value clarity matter more than ever. Marketers are no longer just optimising for search results or social algorithms; they are optimising for how an AI assistant interprets, filters, and recommends their brand.
This perception gap cannot be solved with better internal dashboards or more efficient media buying alone. It requires transparent, tangible value demonstration. The customer needs to see and feel how AI makes their experience better.
Enter creative differentiation: The META’s perspective
How do brands bridge this gap? The answer lies in moving away from algorithmic homogenisation and leaning heavily into what Meta defines as creative differentiation.
Consumers don’t want to feel targeted by a machine; they want to feel understood by a brand. For example, in our company, SOMIN, we recognise that as the most powerful application of AI, which isn’t finding cheaper ways to serve the same generic ad — it’s using AI to fuel ad diversification and rapid content expression development.
Also Read: When AI stops being a feature and starts being infrastructure
When brands rely on a single, rigid visual or message, ad fatigue sets in, and the AI comes across as a cold, calculating retargeting tool. By introducing ad diversification, brands can break out of this trap. We use AI-powered insights to analyse audience behaviours, motivations, and cultural nuances, allowing brands to develop a wide array of tailored “content expressions.”
This means a single campaign can dynamically present different visual cues, messaging angles, and ad formats based on what genuinely resonates with a specific, hyper-local audience segment.
When AI is used to drive creative differentiation, the consumer experience shifts dramatically. Instead of feeling stalked by repetitive, self-serving corporate messaging, consumers are served varied, highly relevant content that speaks to their specific pain points and interests. The AI stops feeling algorithmic and starts feeling authentic.
The path forward
The brands that succeed in the next era of digital marketing will be the ones that can explain their AI usage through actions, showing how it improves customer outcomes rather than just internal operational efficiency.
As the MarTech data suggests, moving fast breaks things, and right now, it’s breaking customer trust. Rebuilding that trust requires connecting AI capability with genuine cultural relevance. By embracing diversification and prioritising diverse content expressions, brands can finally prove to their customers that AI isn’t just about the bottom line; it’s about building a better, more personalised relationship.
Are you experiencing the AI trust gap in your customer interactions? It might be time to rethink how your creative speaks to your audience.
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