GenAI transforms advertising's core pillars. It enables hyper-personalized creatives at scale, democratizes ad production for smaller businesses, and fundamentally enhances the two most critical functions of any ad platform: predicting user behavior and measuring campaign outcomes.

Current AI ad tools are highly effective at generating strong, platform-specific copy, especially for text-heavy formats like Google Search Ads. However, they struggle with visual elements, often producing generic imagery, incorrect logos, and poor layouts that require significant human iteration and refinement.

Svedka's fully AI-generated ad was widely panned as one of the worst ever, feeling generic and soulless. In contrast, Flexport's AI-generated ad was praised for its clever script and classic Super Bowl feel. This proves that AI is a tool; the success of creative work still hinges on a strong, human-led idea and thoughtful execution, not just the novelty of the technology used.

Higgsfield's CEO notes a key trend: the best-performing AI-generated ads don't try to pass as real. They lean into a distinct AI aesthetic, suggesting that audiences are not only accepting but are also engaged by this new visual style, prioritizing creativity over photorealism.

Previously, marketers told Meta who to target. With the new AI algorithm, marketers provide diverse creative, and the AI uses that creative to find the right audience. Targeting control has shifted from human to machine, fundamentally changing how ads are built and optimized.

To get better initial results from AI ad tools, don't just specify what you want—also provide a list of negative constraints. Clearly state what the AI should not do, such as using certain illustration styles or off-brand colors. This helps avoid common AI pitfalls and reduces costly iteration cycles.

While AI image models create high-fidelity ads, generating variations is costly. A cheaper, faster approach is building ad templates as code (e.g., React components). This allows for creating thousands of text and layout variations for free, enabling rapid testing of messaging before investing in polished visuals.

Advanced AI tools can now produce video ads with realistic avatars that are so effective they are starting to replace the entire user-generated content (UGC) ad stack for large advertisers on platforms like Meta, signaling a major shift in creative strategy.

While AI video tools can generate visually interesting ads cheaply and capture views, they currently lack the authentic creative spark needed for true brand building. Their value lies in quick, low-cost content, making them a performance marketing tool rather than an asset for creating a lasting, memorable brand identity.