Executive Summary
Artificial intelligence is often framed as a threat to writers, but it may actually expand the value writers provide. By using AI to repurpose interviews, extract insights, and create additional formats from existing reporting, writers can move beyond producing single articles and instead deliver multiple strategic assets from the same source material. This shift transforms writers from content creators into content multipliers—professionals who help organizations extract more insight, reach, and impact from every conversation.
From Interview Leftovers to Strategic Assets
In my recent contract position as a section editor for UC Berkeley Haas alumni magazine, I noticed something interesting. During article interviews, I’d have these great conversations with alumni who were doing amazing things—and even helping change the world. To a fault, they all credited their successes to the business school, many of them naming specific professors and mentors who inspired them. But more often than not, these glowing endorsements ended up on the cutting room floor once the story was written and edited. Often, it was simply because I didn’t want an article to come off as too promotional, or there wasn’t enough space for them.
In my years of professional writing, this tendency to only use small portions of interviews is common. Much like movie directors, writer/reporters get more than they need during interviews—the transcripts from the “Changing the World” article I linked to were in the 3,000-word range for a 500-word profile—so they can be sure to have enough when it comes time for writing. But as I considered the larger goal of Berkeley Haas, I started to see what a waste these leftovers really were—and how AI could be used as a value add.
During article interviews, I’d have these great conversations with alumni who were doing amazing things—and even helping change the world. To a fault, they all credited their successes to the business school, many of them naming specific professors and mentors who inspired them.
Understanding the Real Goal Behind Content
You see, the larger goal of alumni publications like Berkeley Haas is to promote the school to new prospects and inspire alumni giving, whether it’s volunteer time, monetary gifts or both. What’s more, alumni sentiment is a key marker Poets&Quants and others use to rank schools—and a driver of new students. In fact, there’s a whole department devoted to alumni relations, which is always looking for shout outs from grads it can use to inspire giving.
So, when I was asked to strategize how the Haas marketing and communications team could use AI, I offered up a simple but powerful suggestion: Use AI to do what AI does best—surface and summarize the endorsements and shout outs from interviews that otherwise would be buried in yet another transcript file. Doing this task manually would be too time consuming, but AI is almost tailor made to quickly scan transcripts and find relevant sections and quotations that can then be used by the alumni relations team. I’m proud to say that Haas is now exploring this strategy.
Three More Ways Writers Can Become Content Multipliers
But that’s just the beginning of how writers can use AI as a value add to content we’re already producing. Here are three more ways writers can expand their role from content creator to content multiplier:
Turning Zoom interviews into podcasts:
Every interview already contains more value than a single article can capture. With AI-assisted transcription and audio cleanup, writers can turn recorded interviews into podcast-ready conversations—creating an entirely new content channel from work that has already been done. Advances in AI editing tools like Notebook LM now allow audio to be edited via text transcripts and automatically enhanced for clarity. The real value isn’t the technology; it’s the writer’s ability to shape narrative flow, identify compelling moments, and frame insights for an audience. Instead of delivering one asset, writers deliver a multimedia content experience.
Providing an executive summary of the interview:
Executives rarely need more information—they need clearer meaning. AI can help surface themes and key points quickly, but writers provide the judgment that turns raw conversation into strategic insight. Research from the Harvard Business Review has shown that leaders increasingly rely on concise, synthesized insights to manage information overload. By producing executive summaries alongside articles, writers move closer to advisory work, helping leadership teams understand why an interview matters, not just what was said. This positions writers as interpreters of expertise rather than transcribers of it.
Turning data discussed in an interview into charts and graphs:
Interviews often contain valuable data that disappears into paragraphs. AI-assisted visualization platforms now make it easier to transform raw information into charts and graphics that clarify complex ideas. When writers help translate information into visual form, they expand their role from storyteller to communicator across formats—making ideas more persuasive, shareable, and decision-read. Research from the National Institute of Health and others consistently shows that visualized data improves comprehension and retention compared with text alone.
AI Doesn’t Reduce the Value of Writers — It Expands It
For years, writers have been paid primarily for producing words: articles, blog posts, white papers, and reports. AI challenges that model—but not in the way many fear.
What AI actually does is expand the surface area of writing.
An interview is no longer just an article. It can become a podcast, an executive briefing, a social content series, a data visualization, or a knowledge asset that informs strategy across an organization. AI lowers the friction of production, but it does not replace the need for judgment, narrative thinking, or editorial responsibility. If anything, it increases demand for those skills.
The writers who thrive in the AI era will be the ones who stop thinking of themselves as content producers and start operating as interpreters of expertise and multipliers of ideas. Clients don’t ultimately pay for words—they pay for clarity, credibility, and impact. AI simply makes it possible to deliver more of that value from the same raw material.
In that sense, AI isn’t competing with writers. It’s revealing what the most valuable writers have been doing all along: turning conversations into insight, information into understanding, and expertise into influence.
And the writers who learn to use AI this way won’t find their work diminished—they’ll find it expanded.
About the Author
Gary Thill is an award-winning journalist, editor, and content strategist with decades of experience covering technology, business, and innovation. He specializes in translating complex ideas into clear, credible stories for professional and academic audiences and helps organizations adapt their content strategies for the AI search era.
Frequently Asked Questions
How can writers use AI without replacing their own work?
Writers can use AI to analyze, summarize, and repurpose material they have already created, allowing them to produce additional formats and insights while maintaining editorial control and originality.
What does “content multiplier” mean?
A content multiplier creates multiple strategic assets—such as podcasts, summaries, visuals, and social content—from a single interview or reporting effort.
Does using AI reduce the value of professional writers?
Not necessarily. AI increases efficiency, but organizations still rely on human judgment, storytelling ability, and credibility to ensure accuracy and meaningful interpretation.
What skills will writers need in the AI era?
Editorial judgment, subject-matter expertise, interviewing skills, narrative framing, and strategic thinking are becoming more valuable as AI handles mechanical tasks.
Why are interviews especially valuable for AI-assisted workflows?
Interviews contain original insights and firsthand expertise—exactly the kind of material AI cannot independently generate but can help repurpose and organize.