AI can write; it can’t own the story

Anthropic has posted a job opening for a “Head of GTM Narrative,” signaling that some of the most valuable marketing work—choosing what to say, how to say it, and why it matters—still needs human ownership. The push comes as the industry confronts an overflow

When Anthropic posted a job opening for a “Head of GTM Narrative,” the title sounded plain. The work description did not. This wasn’t a “content lead” role, and it wasn’t framed as a brand-director position either. It was go-to-market narrative strategy—an attempt to put a human in charge of the story.

That choice lands with a particular weight because Anthropic is a company that has spent years building some of the most capable AI in the world. Yet the job posting points to a line the technology can’t cross on its own: deciding what a message should mean, and why it should carry.

Anthropic isn’t operating in a vacuum. A Wall Street Journal account found that LinkedIn job postings mentioning the term “storyteller” doubled in 2025. reaching roughly 70. 000 roles across marketing and communications. At the same time, companies including Google, Microsoft, and Notion have created or restructured teams around narrative and storytelling. Executives also appeared to be changing how they talk about work: they mentioned “storytelling” on earnings calls 30% more often in 2025 than in the prior year.

The immediate question for business leaders is uncomfortable: if generative AI is already widely deployed in marketing, why are they still hiring for narrative?

The answer sits in what happens after the pitch decks. The article’s core claim is that the industry is now two or three years into mass adoption of generative AI in marketing—and the results aren’t matching promised outcomes. Instead of breakthroughs. the information environment has become crowded with what some researchers now call “slopaganda”: mass-produced. low-quality content that overwhelms and manipulates.

In that atmosphere, the hiring push looks less like a trend and more like a response. The difference, the argument goes, is not whether AI can generate text. It’s whether organizations can build the kind of communication that earns attention and trust.

The playbook outlined through advisory work—where Jenny is described as an executive coach and learning and development expert. and Noam is described as an AI strategist—boils the problem down to four practices that distinguish organizations building authentic narrative from those producing content that doesn’t land.

First is the part that can’t be prompted. The piece argues that the most dangerous misconception in AI-era marketing is treating imagination like a dial you can turn with a better prompt. What AI produces, it says, is plausible; what humans produce at their best is surprising. It’s not presented as poetic contrast, but as a test audiences can feel. The teams that handle this well use AI to accelerate the parts that don’t require judgment—research synthesis. format adaptation. and first-draft scaffolding—then protect time for human judgment on the angle. the entry point. and the emotional logic of the argument. Without that, the warning is blunt: AI-powered content becomes a noise machine that amplifies the wrong ideas and tone.

The recommended “strategic move” is direct: before using AI to draft any external communication. write one sentence by hand—what the audience should believe after reading. and why the organization is the right source for it. If that can’t be answered without the tool. the tool won’t solve it; it will just make the gap harder to see. The same section ties this to research that generative AI works best when humans set a clear narrative and strategic intent. using AI to adapt and scale the message rather than define it.

Second comes a different kind of accountability: write like a person, not a machine. The piece insists authentic narrative can’t be self-assessed. The closer the writer is to the message, the less they can see how it lands. Jenny’s example makes the point concrete. While leading a workshop titled “Communicating With Influence and Impact in the Age of AI. ” she worked with senior leaders at a midsize professional services company. When an AI adoption mandate rolled out, leadership tracked usage: by department, by team, by individual. The logic was measurable, and the outcome followed measurement.

Teams optimized for AI usage instead of quality of output. The communications became polished and well-structured, and they were described as indistinguishable from any competitor. Errors slipped through as ownership evaporated. and the piece adds a question that hangs over the whole scenario: if AI wrote it. who was accountable?.

The missing ingredient, the narrative says, wasn’t skill or team capacity. It was direction. Leaders were stretched managing quarterly performance targets and competing priorities. leaving them without bandwidth to say what the brand should sound like. So teams filled the vacuum by letting the tool decide.

The shift that changed the tone was framed as simple but revealing: each leader was asked to describe out loud. without notes. the most important thing they believed about the future of their industry that most of their peers had wrong. The answers were specific and interesting. none of which made it into the communications teams were producing because no one had put the point of view on the table clearly enough for teams to carry it forward.

The third practice is leading with the pain point. The piece argues many communications fail not because the message is wrong, but because it arrives before trust does. The instinct is to open with the strongest argument. The more effective move is to open with the clearest evidence that you understand who you’re talking to.

Noam’s example is international. but the mechanism is familiar: several years ago. he was preparing communications for sessions at the United Nations to make the case for digital infrastructure investment in lower-income nations. The logic was sound and the data was compelling. Yet every version fell flat because the team kept writing for the argument they wanted to make rather than for the people who had to receive it.

The ministers in those rooms, the piece says, weren’t resistant to progress. They were responsible for populations who had watched foreign-led initiatives arrive with compelling arguments. take credit for outcomes. and leave before complications started. When the narrative acknowledged that reality before asking for anything, the dynamic changed. Questions moved from pushing back on premise to asking about implementation.

The message didn’t change; the entry point did. The piece frames that as the place where narrative succeeds or fails most often.

The “strategic move” here is to write the empathy paragraph first—even if it never makes it into the final version. Draft two to three sentences naming what the audience is carrying right now: tension. fear. and the unspoken concern already in the room. It will reshape what follows, and it will show in the tone even if those lines stay internal.

Fourth is to name the elephant in the room. The claim is that the highest-value thing a communicator can do isn’t confirm what an audience already believes. It’s to name something they’ve been carrying but haven’t put into words—a frustration. a fear. an unresolved tension—and to do so before they do.

This section also ties the idea to recent guidance for leaders in high-stakes situations, arguing that audiences already hold an unspoken “What’s in it for me?” question. If that isn’t surfaced and answered, the piece says, others will.

The “strategic move” is again a question: before any significant communication. ask what the one thing the audience is carrying right now that no one in the industry is talking about. The guidance stresses specificity as experiential rather than demographic—because it’s that opening. the piece argues. that makes a narrative worth reading.

The final line makes the hiring story feel less like a staffing decision and more like a boundary test for the technology: Anthropic isn’t hiring a Head of GTM Narrative because it couldn’t find a way to generate narrative with AI. It’s hiring because it understands the difference between content that exists and communication that works.

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