Hi, I’m Gary Thill,
a Writer. an Editor. a Content Strategist. an AI Adopter.

March 12, 2026

4 Ways Writers Can Use AI to Move from Content Creator to Content Multiplier

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.

March 12, 2026

Why Professional Writers Don’t Need to Fear AI Slop 

Summary

Artificial intelligence is rapidly transforming both content creation and online search. While AI-generated content is increasing, AI search tools increasingly prioritize credible, experience-based, human-authored material. As a result, professional writers may become more essential—not less—in the evolving digital information ecosystem.

You probably wouldn’t guess it, but you’re reading one of the most valuable pieces of content on the internet right now. Why? Simply because it’s written by me, a human named Gary Thill, as opposed to AI. That simple difference—that it’s written by a person—makes this content increasingly powerful for two key reasons.

First, AI-generated content, aka “AI slop,” is exploding. While exact measurement is difficult, researchers and industry analysts agree that generative AI is rapidly increasing the volume of online text. A 2024 study from researchers at Amazon Web Services and academic partners estimated that a significant and growing portion of newly published web content now includes AI-generated text, reflecting widespread adoption of generative AI tools across industries.

Major publishing and SEO platforms have also documented the surge. For example, analyses by Originality.ai and other content detection firms have reported sharp increases in AI-assisted publishing across blogs, marketing websites, and affiliate content.

First, AI-generated content, aka “AI slop,” is exploding. While exact measurement is difficult, researchers and industry analysts agree that generative AI is rapidly increasing the volume of online text.

While the shift toward AI-written content is concerning, for content providers, there’s a second concurrent AI trend that may be even more disruptive: more and more people are using AI to search for content.

Here are the statistics.

As of 2024 and 2025, AI-generated or AI-powered searches have become a growing component of web discovery.

• Google has integrated generative AI summaries, known as AI Overviews, directly into search results. Google has confirmed that these features are designed to answer complex questions by synthesizing information from multiple sources rather than directing users to a single webpage.

• Research suggests AI summaries are changing user behavior. The Pew Research Center has reported that generative AI tools are reshaping how people seek and consume information online, with users increasingly relying on AI-generated summaries rather than visiting multiple websites.

• Independent research and analytics firms have documented the long-term growth of “zero-click” search behavior—where users receive answers directly from search platforms without visiting external websites.

So, the question on every content provider’s mind is: How do I make sure my articles show up in AI searches?

The answer is using human-generated content, whether it’s Google, ChatGPT, Claude, or any other AI-driven search platform.

The reasons are similar to how SEO optimization helps ensure articles are more likely to be found in traditional Google searches. Google and other AI search systems rely heavily on content that demonstrates strong credibility signals, often described using Google’s E-E-A-T framework—Experience, Expertise, Authoritativeness, and Trustworthiness.

According to Google’s Search Quality Rater Guidelines, content that demonstrates first-hand experience, expert knowledge, and clear author attribution is more likely to be evaluated as high quality and reliable.

• First-hand Experience: Google emphasizes content created by individuals with direct experience or demonstrated subject familiarity.
• Unique Voice and Perspective: Original insight helps distinguish authoritative content from repetitive or derivative material.
• Authority and Trust: Content linked to identifiable authors or reputable organizations is easier for search systems to evaluate for credibility.

When human-generated content is combined with the expertise of a veteran writer and reporter, search engines tend to reward it. Google’s documentation consistently states that its ranking systems aim to surface content that is helpful, reliable, and people-focused rather than content created primarily to manipulate rankings.

In other words, AI search prioritizes credibility, originality, careful research, and first-hand reporting—the hallmarks of professional writers.

As someone with decades of experience producing expert, in-depth, well-researched, first-hand (and I might add, award-winning) writing, I appreciate that Google and the rest of the AI chatbots value this kind of work.

But I also know there’s more going on here than simply offering high-quality content that makes search engines and chatbots hungry for human-generated content. It’s actually a matter of survival.

That’s because AI-generated content is exactly what it says: content generated by large language models trained on existing data. These systems create new material by synthesizing patterns found in previously published human content.

Researchers have warned that heavy reliance on synthetic training data can create a phenomenon known as model collapse. A widely cited study published in Nature found that training AI models repeatedly on AI-generated content can gradually degrade accuracy, diversity, and reliability because the systems lose exposure to original human-created information.

Without fresh, original human reporting and analysis, AI systems risk relying on recycled or degraded information. In a very real sense, AI needs fresh DNA—and that DNA comes from human-generated content, especially from experienced writers and journalists.

And that’s why, even as AI-generated content threatens to take over the internet, I’m confident that my role as a professional writer isn’t really at risk. While there will always be those who rely on automated content, the more AI search dominates content discovery, the more valuable credible, expert human writing becomes.

So, the next time you’re tempted to let ChatGPT generate your content, remember that if you want it to stand out in AI search, it may still be worth hiring a human.

Key Takeaways

• AI-generated content is expanding rapidly across the internet.
• AI-powered search is changing how users discover information.
• AI search systems often prioritize credible, human-authored content.
• Professional writers supply original reporting that AI systems depend on.
• Expertise, authority, and authenticity are becoming more valuable differentiators.

About the Author

Gary Thill is an award-winning journalist, writer, and editor with decades of experience covering technology, business, and innovation. His work focuses on translating complex topics into clear, credible, and engaging content for professional and technical audiences.

Frequently Asked Questions About AI Search and Human Writing

Do AI search engines prefer human-written content?

AI search tools often prioritize content demonstrating experience, expertise, authoritativeness, and trustworthiness. Human-authored material frequently performs well in these areas.

Will AI replace professional writers?

AI is changing how writing is produced, but it still relies heavily on human-generated research, reporting, and analysis. Many experts believe AI will augment writing rather than eliminate it.

What makes content more likely to appear in AI search results?

Content is more likely to be cited when it includes original insight, strong sourcing, clear structure, expert perspective, and trustworthy information.

What is AI slop?

AI slop refers to large volumes of low-quality automated content created primarily to rank in search engines rather than provide meaningful or original value.

How can businesses prepare for AI-driven search?

Organizations can improve visibility by investing in expert-led, research-based, and human-authored content that demonstrates authority and credibility.