TLDR: Meta is significantly expanding its generative AI capabilities for advertisers, offering automated tools for creating diverse image and text variations to optimize ad performance. This initiative, part of Meta’s broader AI-driven advertising strategy, aims to streamline ad creation, enhance user engagement, and boost return on ad spend, with plans for fully automated ad campaigns by 2026.
Meta Platforms is rolling out advanced generative AI features designed to empower advertisers with automated tools for creating a wide array of image and text variations for their ad campaigns. This strategic expansion is a core component of Meta’s ongoing efforts to leverage artificial intelligence to enhance ad performance and streamline the creative process for businesses of all sizes.
According to recent reports, Meta’s generative AI features for ad creative have already achieved significant scale, with a “meaningful percent” of the company’s ad revenue now stemming from campaigns utilizing these AI-powered tools. Mark Zuckerberg, CEO of Meta, highlighted the progress in AI for ad creative, noting the growing adoption among advertisers. Li, a Meta executive, provided specific metrics, stating that “Nearly 2 million advertisers are now using our video generation features – Image Animation and Video Expansion, and we’re seeing strong results with our text generation tools as we continue to add new features.”
These new AI tools are designed to drastically reduce the time and effort required to produce high-quality, on-brand creative at scale. Key features include consistent branding at scale, allowing advertisers to automatically apply logos, brand colors, and fonts across various creative assets. Furthermore, Meta is testing AI video generation, a feature that transforms still images into animated videos complete with text overlays and music, aiming to make video production faster and more engaging. The platform also offers video highlights, where AI extracts key scenes and phrases from videos to spotlight product benefits more effectively.
Early results from these generative AI tools are promising, with Meta reporting up to a 22% boost in return on ad spend. This demonstrates the competitive edge these tools could offer in the increasingly crowded digital advertising landscape. The focus on video content is particularly notable, given its dominance on platforms like Instagram and Facebook. User engagement metrics also reflect the effectiveness of Meta’s AI-powered content recommendation systems, with time spent increasing 5% on Facebook and 6% on Instagram during Q2 2025. Video engagement, in particular, saw strong performance, with Instagram video time up over 20% year-over-year globally.
Looking ahead, Meta is reportedly planning to enable fully automated ad campaigns by 2026. This ambitious goal would allow advertisers to simply input their business URL and a budgetary goal, with Meta’s AI creative and targeting systems handling the entire ad creation process, including imagery, video, and text, as well as audience targeting and budget suggestions. This move aligns with Meta’s vision of automating the entire advertising process from creative generation to campaign optimization, positioning AI development as central to building “personal superintelligence for everyone.”
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While the industry acknowledges the potential for increased efficiency and performance, some creative agencies express a need to adapt their strategies. The promise of AI in advertising is to make processes faster and cheaper, encompassing copywriting, content creation, ad variation, and optimization. However, concerns about “AI slop” or low-quality content generated without human oversight, and the potential for less differentiation between brands’ creative outputs, are also being discussed within the industry.
