"Picture a chocolate company with an elaborate recipe, generations old. They ask an AI system to identify which ingredients they could remove to cut costs. The AI suggests one. They remove it. Sales hold steady. They ask again. The AI suggests another. This continues through four or five iterations until they've created the cheapest possible version of their product. Fantastic margins, terrible sales. When someone finally tastes it, the verdict is immediate: "This isn't even chocolate anymore.""
"The numbers tell the story. In a Forrester study commissioned by Optimove, only 18% of marketers consider themselves at the leading edge of AI adoption, even though nearly 80% expect AI to improve targeting, personalization and optimization. Forrester's Rusty Warner, VP and principal analyst, puts this in context: only about 25% of marketers worldwide are in production with any AI use cases. Another third are experimenting but haven't moved to production. That leaves more than 40% still learning about what AI might do for them."
An AI recommendation loop that prioritizes cost reduction can iteratively remove elements until a product loses its essential qualities despite meeting metrics. Repeated automated optimizations can produce high margins but poor customer experience when human judgment is absent. Survey data show limited deployment: only 18% of marketers view themselves as AI leaders, about 25% have AI use cases in production, another third are experimenting, and over 40% are still learning. Many professionals and IT teams restrict access to third-party AI tools pending vendor-provided responsible AI features, data protections, and auditability.
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