Despite running an AI company, Clay's co-founder warns against using LLMs for marketing. He argues that AI models are designed to synthesize information and find the average, which is the opposite of marketing's goal: to stand out and be original. His team is discouraged from using it for marketing copy.

When brands use AI tools like LLMs as their primary creative director instead of as an assistant, they produce generic outputs based on existing data. This leads to a "sea of sameness" and a loss of brand distinctiveness.

AI tools enable marketers to generate ideas quickly and at scale, but often at low quality. The critical skill is no longer just creation but rather judgment: the ability to select the right idea, choose the right outcome, and decide what to move forward with.

Shane Hegde of AIR criticizes the marketing message that positions AI as a replacement for creative leadership. This approach is counterproductive, as it tells the target customer—the CMO—that they are irrelevant, creating an adversarial relationship instead of positioning the technology as a valuable tool for them.

The true danger of AI in copywriting is not job replacement, but marketers outsourcing their creativity and decision-making. Relying on AI for a final product robs humans of the messy, valuable creative process, leading to generic content that fails to resonate with customers.

The role of marketing and product teams will shift from direct content creation to managing AI agents. This involves setting clear guidelines, editing AI outputs where it lacks confidence, and manually handling the most brand-critical work, much like managing a human team.

AI tools empower non-product teams like sales and marketing to create and even sell their own prototypes, often without deep problem understanding. This forces product managers into a new, unofficial role: auditing outputs from across the company to maintain a coherent customer experience and unwinding premature commitments.

As AI automates content creation, the critical role for marketing leaders shifts. Instead of producing volume, their primary function becomes instilling a sense of "taste" and sound judgment across their teams to ensure AI-generated output is high-quality and on-brand.

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.