To get high-quality, on-brand output from AI, teams must invest more time in the initial strategic phase. This means creating highly precise creative briefs with clear insights and target audience definitions. AI scales execution, but human strategy must guide it to avoid generic, off-brand results.

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.

To maximize efficiency and control costs, treat AI ad generators as a starting point, not a final solution. Use them to create initial concepts and copy. Once an ad is "close enough," export it and perform final visual edits in a dedicated design tool like Canva, avoiding expensive AI credit usage for minor tweaks.

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.

The promise of "ads in minutes" is misleading. Achieving a high-quality, brand-aligned ad with tools like Replit requires a significant time investment of several hours and multiple paid iterations. This process can cost $20-$40+ in credits for a single ad, debunking the idea that it's a nearly free, instant solution.

Until the release of Google's NanoBanana model, AI image generators struggled with rendering consistent text and product features, making them unsuitable for branded ads. This model's capability to maintain details like logos and button text was the key technological leap that made automated, image-to-ad workflows viable.

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.

GM's CMO warns that AI in creative often produces average results because it finds the "most likely next answer," reflecting the category norm, not a distinctive brand voice. Simple edits can also trigger a full re-render, introducing new errors and creating more work.