"They gave us beautiful reports," he said, stirring his oat milk cortado with visible frustration. "Charts, graphs, quarterly insights. But by the time we got the 'insights,' our competitors had already shifted the market."

That conversation kept me up for weeks. Here's what I realised: Your startup is fundamentally an information-processing machine. The company that learns fastest doesn't just win—they rewrite the rules entirely.

And most founders are outsourcing their primary learning mechanism to agencies that are optimising for the wrong metrics.

How Stripe Won the Intelligence War

Everyone thinks Stripe beat PayPal because of better technology. That's not the real story.

The real story is about information asymmetry.

While PayPal optimised for CFO approval processes and enterprise sales cycles, Stripe discovered something crucial through direct market engagement: developers were the actual gatekeepers of payment adoption decisions.

Patrick Collison, being a developer himself, understood this viscerally. As he later explained: "Every time I built a project, I'd either skip payments integration... because it seemed like so much work."

This wasn't market research. This was a lived experience that informed product strategy.

That single insight—that developers were actively avoiding payment integration due to complexity—became the foundation for a $95 billion company.

Speed of learning equals speed of winning. Companies that process market signals faster don't just compete better—they operate in an entirely different competitive reality.

But here's the problem with traditional startup "research": You don't have quarterly surveys or annual market reports. You have customer interviews that are challenging to obtain, time-consuming and costly, and often don't scale beyond initial product validation.

Meanwhile, your competitors are building continuous conversation systems with their markets. Through content. Through community engagement. Through direct, scalable customer discovery.

And they're doing it in-house.

Content as Market Intelligence: A Personal Discovery

I learned this lesson the hard way with my previous startup.

We hired a digital marketing agency after reading all the right growth blogs. They promised "brand awareness" and "thought leadership." What we got were beautiful posts that generated zero actionable insights about our customers.

Three weeks in, our team decided to pull the plug. Not because the content was bad—it was professionally crafted. But we were optimising for the wrong outcome. We assessed the impact of our content based on impressions, rather than learnings. That was a mistake.

The real value of content isn't impressions. It's intelligence.

Every piece of content is actually a market research experiment. When prospects spend three minutes reading your technical deep-dive but scroll past your product announcements in five seconds, you've just learned something worth £50,000 in traditional market research.

Here's what most founders miss: Consuming content and making purchasing decisions use the same cognitive process. Both require investing a scarce resource—attention. This means engagement patterns reveal buying psychology with surgical precision.

Think about it. When someone chooses to engage with your content about implementation guides versus feature comparisons, they're telling you exactly how they evaluate solutions in your space.

The Algorithm Advantage

Social platforms have created the world's most sophisticated market research infrastructure.

Platforms like TikTok optimise for engagement to drive advertising revenue. Their incentive for keeping people hooked aligns perfectly with your need for market intelligence about what actually resonates with your audience.

What people engage with reveals their true priorities, not what they claim in surveys.

The TikTok algorithm changed everything. Content algorithms now identify content-market fit 24/7 using AI systems more sophisticated than anything you could ever afford. You create content with hypotheses about what might resonate. The algorithm tests it across micro-segments of your target market and gives you precise feedback.

This creates 24-hour hypothesis testing cycles instead of quarterly research reports.

Does your audience respond better to efficiency messaging or productivity messaging? Test it on Tuesday morning. Know the answer by Wednesday lunch. Implement across your entire go-to-market by Thursday.

Why Outsourcing Is Strategic Suicide

Here's what keeps me up at night about agencies: They're learning about your customers, your market, and your messaging effectiveness. Then they're taking those insights to your competitor's pitch meeting next month.

When you outsource content creation, you outsource your primary learning mechanism.

I see founders who understand this intuitively but struggle with the practical implementation. They recognize that content creates valuable market intelligence, but they become overwhelmed by the perceived complexity of "content marketing."

Let me tell you about Cluely. They took this intelligence-gathering approach to an extreme. They hired 50 content creator interns, churning out content across 40 different accounts every day. Non-stop.

Their goal? Identify what goes viral and resonates with their audience. They analyze highly engaging content and use those insights to inform product decisions.

Cluely will win because they're distribution-first with a content intelligence system at its core. As the video shows, they use interns, but you can just as well use AI-optimised content-generating agents for a fraction of the cost.

Integration friction kills competitive advantage. When your agency discovers shifting customer priorities, that intelligence gets filtered through account managers, reporting cycles, and monthly check-ins. By the time insights reach your product team, competitors operating with internal intelligence systems have already adapted.

Remember: Every "failed" post becomes valuable data about your audience when you're optimizing for learning instead of vanity metrics.

Building Your Internal Intelligence Advantage

Last week, while reviewing our content performance for a Nordic client, I noticed something interesting. Posts about "efficiency" were receiving three times more engagement than posts about "growth."

Within 48 hours, we'd updated their product messaging, email sequences, sales conversations, and even the copy on their landing page.

Try achieving that level of intelligence integration speed through an agency relationship.

Your daily business operations create content gold. The question I get from founders constantly is: "What should I talk about?"

The answer is staring you in the face: Your business operations are the exact source of content ideas you need.

Customer support conversations reveal pain points worth addressing. Sales objection patterns shape messaging frameworks. Product usage data guides content distribution strategies. The conversations you have with customers every day are filled with insights that your competitors would pay thousands to discover, and these insights can very well resonate with your audience.

You need a low-friction system to capture and transform these operational insights into content experiments. That should be a key design feature of any content intelligence system you adopt.

The Mathematical Reality

Your three main competitors are building internal content capabilities that provide real-time market intelligence. Your agency partnership—regardless of quality—is now a structural disadvantage.

Mathematical reality: If your competitors have faster learning cycles, deeper customer insights, and integrated decision-making processes, your external partnership creates systematic delays that compound into competitive gaps.

Here's a scenario that plays out every week: Your competitor's internal team discovers that technical buyers prefer implementation guides over feature comparisons. How do they know? They tested both content approaches across different formats and platforms. Implementation guides got 5x more engagement.

They immediately adjust content creation, update email sequences, inform sales messaging, and redesign product positioning. Conversions increase, sales increase.

You’re left behind while waiting for your agency's monthly performance report.

Market intelligence compounds through internal teams in ways that external partnerships cannot replicate. Your internal content team understands customer development cycles, competitive dynamics, and the challenges of product positioning. They build relationships across your organization that amplify insights across every business function.

The companies building internal capabilities now will have insurmountable intelligence advantages by Q3.

What This Means for You

I work from the Entrepreneur First office here in London, and I've had this exact conversation with hundreds of startup founders over the past few months.

The constraint isn't understanding the value of the content. It's a practical day-to-day implementation.

How do you consistently create content that generates actionable insights about your market? How do you build systems that capture operational learnings and transform them into intelligence-gathering experiments?

Today's opportunity is unprecedented. Platforms like N8N and Make, combined with the collapsing cost of AI reasoning models, create a golden opportunity to bring sophisticated content intelligence systems in-house.

AI, with the right prompts and frameworks, can create better hooks and copy at scale. This scale allows you to test hypotheses across multiple customer segments and emotional triggers, maximizing learning opportunities from every piece of content you create.

My company partners with businesses to develop precisely these kinds of in-house content intelligence strategies. I'm completely transparent about our process—sharing insights, workflows, successes, and failures as we build them.

I provide the actual AI prompts, automation workflows, and analytical frameworks we use—a full build-in-public approach.

Because while your competitors are guessing, you should be learning.

Want the practical implementation frameworks? The systems, workflows, and AI tools that transform content creation into competitive intelligence gathering?

Follow along as we build these systems in the open. Because the companies that treat content as intelligence gathering—not just marketing—will have sustainable competitive advantages that agencies cannot replicate.

"Between 5-20 seconds," I reply.

He nods quietly, trying to decipher the seemingly impossible challenge that lies before us: How do we convince donors and audiences alike to care about sustainability initiatives happening across the Mediterranean in only 20 seconds?

Why Did an AI Engineer Quit His Job to Make Content?

Four months earlier, I had been sitting in a glass-walled office in London, building AI systems for a tech startup. The work was intellectually stimulating, the pay was excellent, and my career trajectory was clear.

Then why did I walk away?

The answer lies in a question that kept me up at night: What happens when world-class storytelling meets world-class distribution?

My father, Edward Girardet, is an award-winning war journalist whose decades of experience have produced some of the most important reporting of our time on Afghanistan. He excels at sourcing stories from hard-to-reach places, asking the right questions, and uncovering narratives others miss. Tom Woods has Emmys lining his shelf for his work as a cameraman and as a director, bringing production excellence to every project he touches.

Yet I watched as their meticulously crafted stories — stories that took months to research and produce — were being outperformed by hastily assembled content optimized purely for algorithms.

This realization sparked a pivotal moment in my career. I quit my engineering job for a simple hypothesis: What if I could learn the fundamentals of quality storytelling from masters like Tom and Edward, while helping them adapt their work to modern platforms using my background in AI and analytics?

That hypothesis led us to Nice International Airport, where we were about to pick up a team to help raise awareness for sustainable tourism and citizen science initiatives on behalf of two NGOs: PolarQuest and HelpSaveTheMed. Our budget was low and therefore the strategy was clear: leverage AI and our team's experience to create low-cost content, and optimize it to garner a large audience. Herein lies vibe marketing.

What Is Vibe Marketing Really?

Vibe Marketing is the systematic practice of packaging the same fact-rich story in multiple emotional "wrappers," testing each, and scaling the version audiences respond to most strongly.

At its core, it's the idea that storytellers can expand their content's reach and impact by creating variations of the same substantive content, testing different emotional approaches with their audience, and letting the data reveal what resonates most deeply.

In other words: what vibe do audiences most enjoy when receiving your content?

To illustrate this concept in action, The Washington Post offers a perfect example with their TikTok "Universe." Their account has amassed 1.7 million followers and 86 million likes by adapting high-quality reporting to different emotional framings. As Dave Jorgenson, Senior Video Producer at The Washington Post, explains: "People are on TikTok, YouTube, Reels and all kinds of places. They aren't necessarily looking for a paper subscription, so why not grow trust with them on platforms where they're already active?"

The results speak for themselves. When they launched their YouTube Shorts channel, repurposing their TikTok content, they saw explosive growth – jumping from 6,000 to over 100,000 followers in just months. The Post routinely reframes the same meticulously reported stories through humor, surprise, or empathy to reach Gen Z without diluting a single fact. They're not changing their journalism — they're changing the emotional wrapper that helps it travel.

@washingtonpostThe same but different. #watergate #trumpcall

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The logic behind this approach is compelling for several reasons:

1. AI commoditizes text, not taste. When everyone (including AI) can generate decent prose, what truly travels is the feeling a package projects. Humans process emotions much faster than logic, so you need to resonate emotionally on modern platforms.

2. Algorithmic feeds reward emotion-weighted signals. The platforms that control distribution increasingly prioritize content that generates emotional engagement. This isn't necessarily at odds with quality — it just means quality needs an emotional key to unlock distribution.

The Storyteller's Dilemma in 2025

That night in the Land Rover, Tom and I's discussion revealed the painful paradox of modern media:

• Quality content creation has never been easier (with research tools, AI assistants, etc.)

• Quality content discovery has never been harder (drowning in an ocean of mediocrity)

This contradiction stems from two converging factors that have created this challenge:

1. The AI-driven content flood. Large language models have lowered the cost of producing average content to near-zero, creating unprecedented noise. As one of our veteran filmmakers put it: "Everyone has the same camera now — both technically and intellectually."

2. Algorithm prioritisation of emotional signals. Most discovery platforms now weigh emotional engagement more heavily than authority or accuracy. The vibe has become more critical than ever.

For experienced media professionals who've spent decades honing their craft, this feels like a betrayal of everything we value. But what if there's a middle path that respects quality while embracing new distribution realities?

Our Mediterranean Experiment: Building in the Open

What I'm sharing today isn't a completed case study, but rather a real-time experiment we're currently conducting in the Mediterranean. We're building in the open, sharing our strategy and early insights as we implement vibe marketing for these conservation initiatives.

Here's how the roles break down in our experiment:

Edward Girardet: Sources the stories from hard-to-reach places, conducts interviews, and identifies the core narrative worth telling

Tom Woods: Brings production excellence to short-form content, applying his documentary expertise to ensure visual quality

My Role: Bridge the gap between their storytelling expertise and modern distribution by applying AI workflows and audience analysis

The early results are promising. In just three days of posting, our TikTok content has garnered 5,000 views and 50 followers – significantly outperforming a YouTube video on the same topic that had a considerably larger budget and took several weeks to produce.

This collaborative approach allows each person to focus on their strengths while honouring the core principles that make quality journalism valuable. Let me break down our methodology:

1. Lock Down the Non-Negotiables

The night before our first shoot in Nice, we gathered the team to establish clear boundaries:

• Verified facts & data would never be compromised

• Attribution & source integrity would remain sacrosanct

• The mission's core values would guide everything

• The fundamental narrative must remain intact

By establishing these guardrails upfront, we created a framework that respects journalistic integrity while allowing for creative distribution.

2. Identify Multiple Emotional Angles

With these boundaries established, we identified what authentic emotions already existed within our stories:

• The wonder of discovering marine ecosystems

• The urgency of addressing plastic pollution

• The human connection of scientists dedicating their lives to conservation

• The curiosity triggered by surprising microplastic facts

The key insight here is that none of these angles required inventing anything or compromising facts. They were all already present in the story itself—we simply needed to identify which ones resonated most strongly with our audience.

3. Create Variations and Test

For each key conservation story, we created multiple versions emphasizing different emotional aspects:

• One leading with stunning underwater footage to evoke wonder

• One starting with scientists' personal stories to highlight human connection

• One beginning with surprising microplastic facts to trigger curiosity

The underlying facts remained identical across all variants. We then published these variants and let the data tell us which emotional approach resonated most strongly with our target audience.

Why This Approach Makes Sense for Experienced Media Professionals

The most profound insight driving vibe marketing is treating your audience as a black box. You can have hunches about what will engage them, but those hunches are often wrong—sometimes dramatically so.

What makes vibe marketing particularly powerful in today's media landscape is the role of AI in carrying the cognitive load of creating variations. Before, testing multiple approaches would have required massive production resources. Now, AI helps us:

• Generate variations of the same core content with different emotional framings

• Analyze audience responses to identify which emotions are resonating

• Scale production of winning approaches across platforms

• Continuously learn from audience engagement

This technological advancement transforms the economics of quality storytelling. In our pre-production planning, I've used AI to help our team generate dozens of variant scripts and hooks. Each maintains the core factual content but emphasizes different emotional entry points. This would be prohibitively time-consuming without AI assistance.

The result is a framework that allows quality storytellers like Edward and Tom to focus on what they do best—capturing substantive, meaningful stories—while AI handles the experimentation needed to optimize distribution.

Addressing the Integrity Question Head-On

When I first proposed this approach, my father was deeply skeptical. "Isn't this just manipulating emotions?" he asked, voicing a concern that many serious journalists share.

It's a valid question that deserves a thoughtful response. Here's the perspective that changed his mind:

Clickbait invents emotions; vibe marketing discovers which authentic emotions in your story resonate most.

Think of it as having multiple conversations about the same topic with different friends. You might emphasize different aspects depending on what resonates with each person, but the core truth remains unchanged.

This distinction is crucial. After seeing the approach in action, Edward now sees how this approach can help his most important stories find the audience they deserve — without compromising a single fact.

What's Next: Join Us on This Journey

I'm committed to building in the open, so I'll be sharing our journey as we implement vibe marketing for Mediterranean conservation stories. Over the coming weeks, as we gather more data from our TikTok strategy, I'll share:

• The exact AI prompts we're using to generate viable emotional angles

• Our template for tracking variant performance

• Early results showing which emotional approaches are resonating

• Insights from our team of experienced storytellers about how this approach affects their craft

I believe that experienced media professionals have an unprecedented opportunity to combine their unmatched storytelling abilities with modern distribution techniques. The key is not abandoning your expertise but supplementing it with data-driven insights about which emotional aspects of your stories create the strongest initial connection.

I invite you to follow along and even experiment alongside us. If you're working on substantive stories that deserve a wider audience, consider how applying vibe marketing might help you discover which emotional aspects of your story create the strongest initial connection with your audience.

Together, we can ensure that quality storytelling not only survives but thrives in the algorithm age.

Want to Stay Ahead of the AI Content Revolution?

AI engineer turned content strategist. As the son of veteran journalist Edward Girardet, I bridge data science and storytelling to revolutionize content marketing. My newsletter delivers practical AI tools and frameworks that help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement. Join me at the frontier where algorithms meet storytelling.

My newsletter delivers:

• Practical AI tools you can implement immediately

• Strategic frameworks for audience-centric content creation

• Case studies of successful AI-powered journalism

• The latest developments in content technology—explained without the jargon

Weekly newsletter to discover how to transform your content strategy with the power of AI.

AI engineer turned content strategist. I help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement.

At Global Geneva, we faced this challenge head-on. Our article about Geneva watches—well-researched and expertly crafted—was barely reaching readers. By applying a straightforward content discovery method, we increased its readership by 400% while maintaining our journalistic standards. This experience revealed a systematic approach to ensuring substantive content finds its audience in today's algorithm-driven world.

The Content Discovery Opportunity

The gap between what audiences search for and what quality content exists represents a massive opportunity for experienced journalists and media professionals.

Understanding How People Find Content Today

The internet is the world's foremost information provider, representing the collective knowledge of our species. Its users scour the web for access to information, products, and services. For many years, search engines such as Google and social media giants like Meta have been tracking the digital footprint left behind by our activities, accumulating massive amounts of data. This has allowed companies to provide increasingly personalised experiences that we've all become accustomed to.

Google's prominence as a search engine stems from its ability to process enormous amounts of data and provide users with information that closely matches their search intent.

When people use Google, they're expressing a need or desire for specific information. This is what we call "search intent" - the real question behind their query. For example, when someone types "Geneva shoes," they could mean several things, but Google understands they're likely looking for shoe stores in Geneva, not a brand called Geneva Shoes or shoes manufactured in Geneva.

Digital marketers have been using this understanding of search intent for years, while many traditional media professionals have focused solely on creating excellent content without considering how audiences will find it. Today's readers primarily discover information through search, not by directly visiting publications. This creates a disconnect between valuable expertise and the people who could benefit from it.

Thankfully, you don't need to become a digital marketer to bridge this gap. Modern tools make it possible to uncover exactly what your potential audience is looking for.

How We Found Our Content Opportunity

Our experiment with Global Geneva began with Google's Keyword Planner—a free tool showing what people are searching for.

We discovered "Geneva watches" represented a significant opportunity:

• Thousands of monthly searches (high traffic potential)

• Relatively few high-quality articles addressing the topic (low competition)

This combination of high interest and low competition creates the perfect opening for quality journalism.

Understanding the Questions Behind the Keywords

After identifying this opportunity, we needed to understand what specific questions people had about Geneva watches.

We used this enhanced ChatGPT prompt, feel free to use it yourself:

You are an experienced content strategist and SEO expert tasked with helping a writer prepare an article for an international magazine focused on Geneva. The article subject is:

<article_subject>
Geneva watches
</article_subject>

Your goal is to provide a comprehensive analysis and outline for the article, focusing on search queries, user intent, key questions, and subtopics. Please follow these steps:

1. Analyze the article subject and generate the top 10 search queries people might have about it.
2. For each query, identify the likely intent behind the search.
3. Determine key questions the article should answer to satisfy readers' curiosity.
4. Identify subtopics to cover for comprehensive information.
5. Create a detailed article outline based on your analysis.

Before providing your final output, wrap your thought process and analysis for each step inside <content_strategy> tags. This will ensure a thorough interpretation of the subject and help create a more targeted article outline. It's OK for this section to be quite long.

In your content strategy, consider the following:
- The specific context of Geneva and how it relates to the article subject
- The international audience of the magazine and how to make the content relevant to them
- Different aspects of the subject that might interest various reader segments
- How the search queries and intents can guide the article structure
- Potential angles or hooks to make the article more engaging
- SEO best practices and how to incorporate them into the outline

After your content strategy, provide your final output in the following structure:

1. Top 10 Search Queries
2. Search Intent for Each Query
3. Key Questions to Answer
4. Comprehensive Subtopics
5. Detailed Article Outline

Please ensure that your article outline is specific and based on the search intents you've identified. This will allow the writer to create an article that directly addresses what users are looking for when searching for information on this subject. Throughout your analysis and outline, keep the specific context of Geneva in mind.

The response revealed people weren't just searching for "Geneva watches brands" as a generic term. They wanted to understand:

• The heritage of watchmaking in Geneva

• What distinguishes these timepieces from others

• Their historical significance

• How they compare to other luxury watches

This two-step process gave us a clear roadmap for creating content that would both reach and satisfy our audience while maintaining our journalistic standards.

Creating Content That Connects

Once you know what your audience wants, you can structure your content to meet their needs while preserving your quality standards.

Focus on Authentic Storytelling, Not Keyword Stuffing

With our research complete, we assigned an experienced journalist to write an article addressing these specific interests while maintaining Global Geneva's quality standards.

Here's the key insight: Google rewards authentic, human-centered content—not keyword stuffing or formulaic writing.

This represents a major opportunity for journalists. Your ability to create unmatched high-quality content, combined with addressing proven user search demand, allows you to quickly outcompete other content.

Lead With Story, Not Stats

We discovered people wanted to learn about Geneva watches' history. The story behind a product matters as much as the product itself.

This insight shaped our approach. We used storytelling to engage readers from the opening paragraph, drawing them into Geneva's watchmaking heritage before addressing specific questions.

This approach honors both journalistic principles and audience needs.

Structure Content for the 7-Second Decision

Our analytics revealed a critical insight: readers typically decide whether to read an article in just 6-7 seconds.

In these crucial seconds, they:

• Scan the headline

• Read the opening hook

• Scroll down to view subheadings

This video shows one of our readers quickly glancing through our article.

Your content structure needs to communicate value within this brief window. A quick scan should reveal exactly what your reader will gain.

Use Subheadings as Signposts

We structured our article with clear, informative subheadings that directly addressed the questions from our research. Each subheading served as:

• A signpost for human readers

• A signal to search engines about content relevance

We included high-quality images that illustrated key points and broke up text for easier scanning.

Rather than awkwardly forcing keywords into the text, we focused on naturally addressing the underlying questions.

Results and Next Steps

Our experiment yielded impressive results—and revealed a straightforward process any media professional can replicate with their own expertise.

Once published, our article took approximately 28 days to start gaining significant traction—an important timeline to note when measuring success with articles on Google. After this initial period, Google recognized our content as high-quality and authoritative, featuring it prominently in search results, particularly in the "People also ask" section.

Google specifically used our article to answer the query "Is Geneva watch a luxury brand?"—likely from people researching before making a purchase decision. The algorithm correctly identified that our article provided valuable context about Geneva's role in the luxury watch market, placing it at the top of the People also ask section and driving consistent traffic of around 400 clicks daily.

This traffic is particularly valuable because it comes from people actively seeking information on the topic, making them more likely to engage deeply with the content and explore other articles on our site. Unlike social media traffic that spikes and disappears, search-driven traffic provides a steady stream of engaged readers over time.

You can replicate this success using this simple framework:

1. Identify potential topics within your expertise that align with your publication's focus, by utilizing free tools such as Google Keyword Planner.

2. Research audience interest using the AI prompt we provided to uncover specific questions and search intent.

3. Structure your content to directly address these questions while maintaining your quality standards.

4. Publish and monitor performance, recognizing that results typically take 3-4 weeks to materialize.

5. Expand on successful content by creating related articles that address adjacent topics.

This approach doesn't require technical expertise—just a willingness to listen to what your audience is actively seeking and applying your professional skills to meet those needs.

The digital landscape doesn't have to be hostile territory for quality content. With this straightforward discovery method, your expertise can find its audience, ensuring that substance prevails over algorithm gaming. The key is building a bridge between your knowledge and the questions your audience is already asking.

Want to Stay Ahead of the AI Content Revolution?

AI engineer turned content strategist. As the son of veteran journalist Edward Girardet, I bridge data science and storytelling to revolutionize content marketing. My newsletter delivers practical AI tools and frameworks that help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement. Join me at the frontier where algorithms meet storytelling.

My newsletter delivers:

• Practical AI tools you can implement immediately

• Strategic frameworks for audience-centric content creation

• Case studies of successful AI-powered journalism

• The latest developments in content technology—explained without the jargon

Weekly newsletter to discover how to transform your content strategy with the power of AI.

Subscribe now

AI engineer turned content strategist. I help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement.

I. The New Media Battlefield: Why Traditional Journalism Is Losing Ground

The Economics of Extinction

As the LA Times announces another round of layoffs, independent journalist Johnny Harris unveils NewPress—a multimedia venture featuring just three journalists with a combined following of 12.5 million people. This stark contrast isn't simply another "journalism is dying" headline; it's evidence of a fundamental transformation in how quality journalism survives—and potentially thrives—in today's digital ecosystem.

According to Gallup, only 34% of Americans have even a "fair amount" of trust in mass media—down dramatically from 72% in 1976. Meanwhile, content creators like Joe Rogan reach audiences of 11 million per episode and command higher trust ratings than traditional news brands. These statistics aren't anomalies; they're symptoms of a systemic shift:

1. The collapse of the advertising revenue model. Traditional outlets no longer control the mediums where audience attention resides. When marketers follow the attention economy, they follow it to social platforms, not legacy publications.

   

2. The trust deficit continues to widen. Audiences increasingly value perceived authenticity over institutional authority, creating an opening for individual creators who build direct audience relationships.

3. Attribution in digital marketing has become precise and measurable. A recent TikTok campaign I ran cost just $500 and generated one million verifiable impressions with detailed demographic insights—metrics and targeting capabilities that would have been unthinkable in traditional media models.

The economics are brutal but undeniable: the business model that sustained journalism for decades has been fundamentally disrupted. For serious journalists, this isn't just a financial challenge—it's an existential one.

II. How We Got Here: The Three-Stage Evolution of Media

In 1994, a newspaper controlled both what you read and how you read it. By 2024, newspapers control neither—they function as guests on platforms that dictate virtually every aspect of their relationship with readers.

To understand this transformation, we need to break down the three core functions of journalism:

1. Sourcing: Journalists find unique stories and insights through investigation, interviews, and specialized analysis—the traditional strength of the profession.

2. Curation: Editors and executives select, frame, and package these insights for maximum relevance and impact on their intended audience.

3. Distribution: The packaged content reaches audiences through controlled channels.

Traditional media once dominated all three stages. Today, they've lost control of two:

The Distribution Disruption: The cost of distribution has effectively collapsed to zero. Anyone with a social media account can potentially reach millions without the infrastructure that once protected media companies. When The New York Times invests thousands in an investigative piece, it competes for attention with content that cost nothing to distribute.

The Curation Revolution: Algorithms now curate content based on engagement metrics, not editorial judgment. Platforms like YouTube, TikTok, and X prioritize personalization to maximize their own advertising revenue. Content selection is no longer guided primarily by editors but by engagement algorithms designed to maximize time-on-platform.

The competitive advantage in journalism now lies almost exclusively in the sourcing function—the ability to uncover unique insights and tell important stories that others can't. But sourcing alone isn't enough when your carefully reported story disappears into the algorithmic void.

III. The Adaptation Playbook: How Individual Creators Are Winning

Johnny Harris doesn't call himself a journalist—he calls himself a storyteller. That small semantic difference represents a multi-million dollar insight about what modern audiences actually value.

Harris, who previously worked at Vox, has built a sustainable model connecting directly with millions without institutional intermediaries. According to industry estimates, his YouTube channel alone generates between $11-14 million annually. How has he succeeded where traditional outlets struggle?

His approach incorporates four key principles:

1. Audience-First Mentality: Harris creates content for viewers, not peers or industry insiders. He prioritizes clarity over complexity and engagement over tradition, making complex topics accessible without sacrificing substance.

2. Multimedia by Design: Rather than treating video, audio, and text as separate channels, Harris designs stories to leverage the strengths of each medium, creating content that feels native to each platform where his combined audience of 6.7 million followers (5.9M on YouTube, 767K on Instagram) engages with his work.

Example of Johnny Harris's platform-native content strategy. By adapting the same core journalistic insights into platform-specific formats, Harris reaches audiences where they already are with content optimized for each environment.

3. Acknowledged Perspective: By openly embracing his viewpoint while ensuring fairness, Harris builds trust through transparency rather than claims of absolute objectivity—a quality increasingly viewed with skepticism by digital natives.

4. Platform Fluidity: His content moves seamlessly across platforms, meeting audiences where they already are through both short-form and long-form formats adapted to platform-specific consumption patterns.

These principles aren't just working for Harris. They represent a replicable model for journalists who understand that in today's media landscape, controlling your relationship with the audience is the only sustainable path forward. The good news? New tools make this possible at a scale previously unimaginable for individual creators.

IV. The AI Accelerant: Transforming the Journalistic Workflow

What if a single journalist could perform the work of a graphic designer, researcher, editor, and fact-checker—simultaneously? That's not science fiction; it's the new reality of AI-augmented journalism.

The key insight: AI won't replace the sourcing function that gives journalism its value. Artificial intelligence can't generate truly unique stories by exploring the world or building trusted relationships with sources. But it can dramatically enhance the other two stages of the journalistic process:

AI-Enhanced Curation:

• Analyze which angles of a story will resonate with specific audience segments

• Optimize headlines and framing for engagement without sacrificing journalistic integrity

• Identify patterns in audience feedback to refine future content

AI-Powered Distribution:

• Automatically repurpose long-form content into platform-specific formats

• Generate supplementary visuals, charts, and graphics that traditionally required specialized teams

• Optimize posting schedules based on platform-specific engagement patterns

For journalists concerned about maintaining their professional identity in this new landscape, consider this framework:

1. Double Down on Unique Sourcing

   • Identify your irreplaceable expertise and access

   • Focus reporting resources on stories only you can tell

   • Build direct relationships with communities, not just sources

2. Leverage AI for Content Optimization

   • Use AI tools to test multiple framing approaches for the same core reporting

   • Employ language models to adapt content tone for different platforms

   • Create visual assets that previously required dedicated design teams

3. Embrace Multi-Platform Distribution

   • Treat platforms as distinct environments, not syndication channels

   • Use AI to transform core reporting into platform-native formats

   • Measure engagement across platforms to refine distribution strategy

This isn't about abandoning journalistic principles—it's about ensuring those principles reach audiences in a transformed landscape where attention is the scarcest resource.

Conclusion: The Winners and the Left Behind

The future of journalism doesn't belong to institutions or to algorithms—it belongs to journalists who understand how to harness both human insight and technological capability.

Traditional media institutions still possess tremendous advantages in sourcing: experienced reporters, institutional knowledge, and established access. What they've lacked is the nimbleness to adapt to changes in curation and distribution. Individual creators like Johnny Harris have shown that when you combine compelling storytelling with platform fluidity, audiences follow.

The winners in this new reality will be those who maintain their core journalistic function—finding and contextualizing important information—while embracing new tools that amplify their reach and impact.

For serious journalists ready to adapt, AI isn't an existential threat. It's the most powerful ally they've ever had in ensuring quality journalism doesn't just survive, but thrives in the platform era.

Want to Stay Ahead of the AI Content Revolution?

AI engineer turned content strategist. As the son of veteran journalist Edward Girardet, I bridge data science and storytelling to revolutionize content marketing. My newsletter delivers practical AI tools and frameworks that help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement. Join me at the frontier where algorithms meet storytelling.

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AI engineer turned content strategist. I help brands and creators craft targeted stories that resonate with specific audiences and drive measurable engagement.