Much like audiences accept CGI in movies, consumers are willing to engage with AI-generated content if it's entertaining or useful. The key is transparency (e.g., labeling it "AI generated"). Marketers should focus on the quality of the experience delivered, not on whether the content is "real."

Relying on the idea that human-created content will always feel more 'authentic' than AI-generated content is a risky strategy. As AI becomes more sophisticated, its ability to generate engaging and seemingly authentic content will improve, challenging the notion that authenticity is a uniquely human moat.

The New York Times test showing readers prefer AI writing misses the point. The critical question for professionals is determining when to use AI. A useful framework involves a spectrum from "all human" for personal, creative work where the process is the purpose, to "all machine" for repetitive, high-volume tasks.

In the age of AI, the new standard for value is the "GPT Test." If a person's public statements, writing, or ideas could have been generated by a large language model, they will fail to stand out. This places an immense premium on true originality, deep insight, and an authentic voice—the very things AI struggles to replicate.

The distinction between AI-assisted and purely human-created content is becoming impossible to draw. Rather than verifying origin, the focus will shift to holding the publisher accountable for the final product's quality and accuracy, regardless of the tools used in its creation.

When automating outreach with Fable, the host found that disclosing the AI's involvement was key. One guest stated he wouldn't have replied otherwise, defining "slop" not as AI-generated content itself, but as AI work deceptively passed off as human. This suggests transparency is the new currency for legitimate AI-assisted communication.

To distinguish between light AI assistance (like Grammarly) and heavy generation, advanced detectors analyze the "cosine difference"—the distance in a multidimensional space between the original human text and the AI-edited version. This quantifies the degree of AI influence.

The Atlantic's CEO Nick Thompson draws a clear line for AI in journalism. He advocates for using it extensively for reporting tasks like finding stories, analyzing data, or checking for chronological gaps. However, since a byline promises human authorship, AI should never write the final prose, even if it becomes a better writer.

To prevent generic AI outputs, treat AI as an assistant, not a replacement. Build prompts that require the user to provide their own perspective before the AI generates content. For instance, an AI tool for writing comments should first ask the user, 'What stood out to you most about this post?' This keeps the human in the loop.