Marketers race ahead with AI, but consumer trust falls behind

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A new report from Gartner reveals a widening trust gap between marketers and consumers when it comes to AI. While 63% of marketers report using generative AI for content creation and campaign execution, only 29% of consumers say they trust companies that rely heavily on AI in their marketing.

This divergence is not just perceptual — it’s strategic. For marketers, AI offers speed, cost efficiency, and scale across personalization, media optimization, and customer engagement. But for consumers, the rise of synthetic content has triggered concerns around authenticity, manipulation, and data use.

The trust deficit is especially stark in use cases involving AI chatbots, hyper-personalized messaging, and voice assistants—channels where the line between automation and deception can blur. Despite this, adoption continues to accelerate across industries under pressure to do more with less.

What does this mean for brand strategy? It’s no longer enough to deploy AI behind the scenes. Marketers must now design AI-visible experiences that are also trust-optimized. That includes transparent disclosures, clear data usage policies, and maintaining a human layer in high-stakes interactions.

Critically, brands that fail to close the perception gap risk eroding long-term loyalty — even as short-term efficiency rises. AI can support marketing — but it cannot substitute brand character. Consumers are watching not just how fast brands move, but how responsibly they scale.

In the age of AI, trust isn’t optional — it’s part of the product.