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The aversion to AI-generated text will fade for internal communications like emails and strategy docs. A human-guided AI often produces clearer, more effective writing than the average person. The key is human accountability: the sender must stand behind every line, even if an AI wrote it.

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AI doesn't replace copywriters; it transforms their role. By automating the menial task of generating countless variations, it frees them to focus on high-level strategy: defining brand voice, guiding the AI, and acting as the expert who orchestrates the machine rather than being the machine.

AI assistants are creating two classes of writing. The first is dense, information-transfer text (like a technical plan) best consumed and summarized by an agent. The second is storytelling with a personal "vibe" intended for human readership and emotional connection.

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.

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.

Avoid using AI to create sales outreach from scratch ('black pen'). Instead, use it as an editor ('red pen'). Apply the 10-80-10 rule: 10% human-led prompting, 80% AI-driven task execution, and a final 10% human refinement. This maintains quality while boosting efficiency.

Don't ask AI to write a press release in one shot; it will mimic the 97% of releases that fail. Instead, use a top-down, iterative process. You provide the strategy, then ask AI for structure, headline options, and paragraph variations. This combines human strategy with AI's writing prowess.

Instead of asking an LLM to generate a full email, create a workflow where it produces individual sections, each with its own specific strategy and prompt. A human editor then reviews the assembled piece for tone and adds "spontaneity elements" like GIFs or timely references to retain a human feel.

Instead of making AI mimic a human's voice, teams should embrace AI-generated text for internal communications. This is faster for the creator, and the focus shifts to the quality of the underlying thought. The new social contract requires the author to stand by the content, not the prose.

Effective AI content strategy uses tools to handle first drafts and outlines, accelerating production and ensuring consistency. This frees up humans to perform the crucial roles of editing, shaping perspective, and injecting unique, lived experiences, which AI cannot replicate. The goal is amplification, not automation.

Instead of trying to make AI interactions seem human, be transparent by labeling automated responses as coming from a 'robot.' This builds authenticity and manages expectations, normalizing the technology much like email evolved from an 'inauthentic' medium to a standard business tool.