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.

With AI workflows generating thousands of creative variations in minutes, the primary job is no longer the manual act of creation. The critical skill becomes curation: building the right automated systems upfront and then strategically selecting winning assets from a massive pool of options.

The largest advertisers on platforms like Meta launch over 10,000 new creatives a year, equating to more than 40 per workday. This massive scale of experimentation is manually impossible for most companies, creating a clear market need for AI platforms that automate and scale video production.

AI can now analyze video ads frame by frame, identifying the most compelling moments and justifying its choices with sophisticated creative principles like color theory and narrative juxtaposition. This allows for deep qualitative analysis of creative effectiveness at scale, surpassing simple A/B testing.

The cost of creating a sophisticated, multi-clip AI video ad, including all image and video generations, can be astonishingly low—as little as two dollars. This radical reduction in production costs democratizes high-quality video creation, making it accessible to nearly anyone, regardless of budget.

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.

Ridge automates ad creation using a custom GPT and N8N, producing 500 static ads daily. Even if 90% are unusable, the remaining 50 ads provide a constant stream of testable creative, increasing the chances of finding winning variants for personalized campaigns at scale.

The real economic value of generative video lies in advertising, not filmmaking. Unlike movies with finite consumption, there is unlimited demand for personalized, diverse ad content. This makes advertising a perfect fit for the technology's scalable content creation capabilities.

Top creators like Mr. Beast relentlessly A/B test thumbnails and video intros to maximize views. AI video platforms now bring this data-driven experimentation to SMBs, allowing them to rapidly test variations of spokespeople, demographics, and creative elements to optimize ad performance.