Brands are increasingly using generative AI tools to create digital ads, but major barriers still exist to make the technology broadly effective.
As these new offerings improve over time, a bicycle company, for example, could theoretically target Facebook users in Utah by showing AI-generated graphics of people cycling through desert canyons, while users in San Francisco could be shown cyclists cruising over the Golden Gate Bridge, ad experts predict. The text of the ad could be tailored based on the person's age and interests.
One is brand safety. Companies are uncomfortable outsourcing campaigns to generative AI, which can generate visuals and phrases that reflect certain biases or are otherwise offensive and can be inaccurate.
"We are actively monitoring any new trends in AI-generated content," the email said. "If the substance of the content, regardless of its creation mechanism, violates our Community Standards or Ads Standards, we remove the content. We are in the process of reviewing our public-facing policies to ensure that this standard is clear."
Reed described generative AI as a good "starting point," but said companies and marketers still need to hone their own brand messaging strategy and not rely on generic content. Generative AI doesn't "think" like a human strategist when producing content and often relies on a series of prompts to refine the text, she explained.
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