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All Articles Technology Digital Technology Meta’s AI-powered ad creative: Game-changer or cautionary tale?
Does Meta’s AI-powered ad creative spell the death knell for agencies? No, says EGC Group’s Nicole Penn, who argues that it means agencies will be even more essential.
4 min read
By Nicole Penn 06/11/25
Digital TechnologyMarketingPractical AI
NurPhoto/Getty Images
Meta’s recent announcement that it will begin using AI to automatically generate ad copy and creative based on an advertiser’s goal is a major inflection point for the digital marketing world.
On its face, this shift is positioned as a productivity boost — a way to fast-track ad development, optimize performance and reduce the friction between campaign ideation and deployment.
But for agencies and brands alike, this evolution raises a host of deeper questions: Who really controls the message? How do we safeguard brand voice and values? And what role will creative strategists and agencies play in a world where machines can seemingly produce content on demand?
As the CEO of a digital marketing firm that works with a wide spectrum of brands — from emerging startups to national retailers — I see the enormous potential in AI-powered ad creative.
I also see the risks. If we’re not careful, speed and scale could cost brand safety, creative integrity and strategic oversight.
The new Meta tools promise to dynamically generate text and image assets tailored to campaign objectives, presumably trained on massive datasets of successful ads. In theory, this makes it easier for advertisers — especially smaller businesses — to run high-quality campaigns without a large creative team.
But in practice, early glimpses of AI-generated creative often reveal a mixed bag. The outputs can range from passable to perplexing — and sometimes downright damaging. When AI-generated copy lacks proper context or nuance, it can inadvertently push out messaging that’s off-brand, culturally tone-deaf or simply irrelevant.
Let’s be honest: The quality of the output is only as good as the prompt — and most brands don’t yet have the internal expertise to manage that process effectively.
As we’ve already seen with generative AI tools across industries, the potential for hallucination, misinformation or inappropriate associations is real. When applied to something as visible and public-facing as advertising, these issues are magnified.
Imagine an ad auto-generated by AI that contradicts a brand’s values, misrepresents a product or taps into an insensitive cultural trope. In a landscape where one misstep can go viral, the cost of poor AI oversight is far greater than a blown budget — it’s a brand reputation crisis.
At EGC Group, we believe in building a SAFER foundation for AI in marketing (an acronym which stands for Strategize, Audit, Fine-tune, Evaluate, Reinforce). Any use of AI to generate ad content must be paired with rigorous human oversight, clear brand guidelines and testing frameworks to catch problems before they escalate.
Does this mean agencies are obsolete if machines can make ads?
Far from it.
Agencies will become even more essential — but our roles will evolve. We will serve as curators, not just creators. Strategists, not just executors. Our job will be to ensure that AI serves the brand, not the other way around.
We’ll be the ones to:
What we’re seeing is a shift from “making more ads” to “making smarter ads.” AI is a powerful tool for that, but only when wielded responsibly and strategically.
As AI becomes more embedded in ad platforms, the industry must push for greater transparency and accountability. What datasets are these tools trained on? What biases or blind spots exist in their creative logic? And who bears responsibility when something goes wrong?
Regulators are already investigating these questions, but marketers shouldn’t wait to act. We need internal standards, cross-functional governance and a willingness to reject automation that puts the brand at risk.
Meta’s move signals the start of a new era in performance marketing — one that blends machine efficiency with human creativity. Used responsibly, AI can help us unlock faster iteration cycles, more relevant content and better ROI.
But the path forward isn’t “set it and forget it.” It’s test, learn, adjust — and above all, protect. It’s important to keep a “human in the loop.”
Because in advertising, it’s not just about reaching the audience. It’s about resonating with them. And resonance still requires the human touch.
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Digital TechnologyMarketingPractical AI
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