Meta is scaling AI-powered creative tools across its advertising ecosystem, with Muse Image designed to help businesses generate improved campaign variations from existing visual assets.
Last week, the company’s Q2 update indicates that image generation is rapidly becoming embedded in performance marketing, lowering the cost and time needed to test new creative.
For CX leaders, the priority is ensuring this new scale strengthens customer confidence instead of creating a more crowded, synthetic and less credible digital environment.
Speaking with CX Today, Misti Vogt, SVP of Engagement at Orange Logic, argued that trust depends on how customers interpret AI-generated content within its intended context.
“Authenticity isn’t a property of the content itself, it is defined in context at the moment of consumption," she said.
"The same AI-generated or augmented image can be a legitimate creative choice in one context and a trust violation in another; the pivot point is the customer’s expectation of truth in the moment.”
Meta’s Creative AI Momentum
Meta's Q2 results reveal AI image generation is now becoming a standard capability within digital advertising workflows, embedding generative AI into existing systems to build, test, and optimize campaigns.
The company revealed that adoption of its image-generation features more than doubled during the quarter, meaning AI-generated creative is becoming a mainstream component of performance marketing.
Mark Zuckerberg, CEO of Meta, highlighted the growing adoption of the company's AI creative tools, pointing to strong demand from businesses of all sizes.
"We are also seeing a lot of demand for our new AI-powered creative tool," he explained.
"9 million small businesses on our platforms are now using at least one of our AI ad creative tools."
At the center of this strategy is Muse Image, Meta's latest generative AI model designed to participate more actively in the creative process by analyzing existing visuals and learning from performance to generate enhanced advertising assets.
"Muse Image is going to supercharge this. The model can analyze images, improve its own work, and produce better ad variations based on advertiser input," Zuckerberg reveals.
This represents a shift from AI acting as a production assistant toward becoming a creative optimization engine that continuously refines advertising based on marketer feedback and campaign performance.
Susan Li, CFO at Meta, reinforced that the company's objective is not simply to automate content creation, but to help advertisers produce brand-consistent creative at greater scale.
