The Creator-Influencer Economy pt 2: A massive algorithmic-driven attention market

Much has been written about the rise of Creators and Influencers, about the new stars and formats and how it is remaking journalism. I’m more interested in the economics and eco-systems.

My assumptions:

  • The Creator-Influencer Economy represents a shift in the primary networks in content distribution.

  • Young people dream of riches, but most will be disappointed. Once a new network is established in media, power laws quickly take hold. Just as with legacy media, the Creator Economy is a winner-takes-most market.

  • The Creator Economy lives by the algorithms and dies by the algorithm as legacy media found.

The latest chapter in the Attention Economy

The theory of change that has been the most durable over the last 20 years of my career has been the Attention Economy. Psychologist, economist, and Nobel Laureate Herbert A. Simon coined the term in the 1960s, and he believed that “a wealth of information creates a poverty of attention”. In our world, we are drowning in information. In a world where media choices are almost unlimited, time and attention are scarce. It radically changes the economics of media, and it has been the constant over my career.

Changes in distribution and new forms of media have been adding to the amount of information available over the centuries. First, it was the penny press, then radio, then TV, then cable and satellite TV and finally the internet and various forms of digital media. All of these changes have created shifts in the Attention Economy. In 2021, Americans spent 3.16 hours a day watching traditional TV and three hours watching digital video, but in 2025, it is estimated that they will watch 2.48 hours of traditional TV but four hours of digital video, according to data from Statista. “In 2022, 89% of UK children habitually consume content on video platforms like YouTube and Tiktok, while fewer than 50% habitually watch live TV”, Chris Rainville and Simon Levene of Mosaic Ventures wrote.

Attention, and with it, revenue shifted to new platforms that aggregate attention globally on a mass scale. YouTube, TikTok and Instagram are massive attention marketplaces, and newsletter platforms like Substack and Beehiiv provide network effects and revenue infrastructure. First, the network effects: YouTube, TikTok and Instagram all have finely watched and tuned algorithms to deliver more of what you want. Beehiiv and Substack both have referral programmes and network functionality that drive free and paid subscriptions. (For a good overview of Substack’s network mechanisms, M.E. Rothwell goes deep into the network science of it all.)

The success of these platforms is the development of mechanisms to increase your consumption of them. It is why direct-to-consumer video platforms are so much more effective than linear TV in driving consumption. Linear TV will show everyone the same ads about the same programmes. The channels are the mechanisms to aggregate attention. Multi-channel television was just an inelegant way of achieving the same thing by cutting up content and audiences into smaller niches. But with Netflix and any D2C video platform after it, discovery is driven by your use and interests not by showing ads for shows to a single, homogenised persona of their assumed audience. The platforms are built to drive habitual consumption.

Time and attention are finite, so all of the time spent watching YouTube and TikTok or reading Substack or Beehiiv newsletters means less time for other things, like consuming traditional media. Money that used to flow to newspapers, radio and traditional television has shifted to these platforms as they have captured a larger share of attention. With the massive audiences these platforms attract, multiple revenue streams have developed to support creators: advertising, affiliate marketing, sponsorships, live events and merch.

It has minted not only stars but also new media entrepreneurs. Audiochuck, the true crime and mystery podcast network founded by Ashley Flowers in 2017, just received a $40 m investment from the Chernin Group that values her business at $450 m. Over half (57%) of Gen Z-aged people want to be influencers, according to a Morning Consult poll of 1000 young people. As I wrote in my last newsletter, Goldman Sachs Research forecasts that the Creator-Influencer Economy will double to $480 bn by 2027. Some of the Gen Z people in the poll said they were seeking money and fame, while others said they wanted connection and community.

Power laws and the creator economy

When a new medium first launches, there is an opportunity for new voices to establish themselves, but as with most digital markets, power law dynamics quickly take hold. As Chris and Simon of Mosaic Ventures wrote in 2022, creator audiences are highly concentrated. They analysed the number of YouTube subscribers, and less than 1% of accounts had more than 100,00 subs. And they highlighted how less than 1% of Twitch streams earned half of all revenue. They believe the same power law curves exist on Substack and OnlyFans. Goldman Sachs Research estimates the global number of creators will increase 10% to 20% by 2028.

This is where traditional economics kicks in. Oversupply depresses prices, or in this case wages. People flock to media for money, fame or mission. With power law driving the Attention Economy, it means that the vast majority of creators will not earn what Goldman Sachs refers to as professional wages.

Only about 4% of global creators are deemed professionals, meaning they pull in more than $100,000 a year. Goldman Sachs Research expects their share of the creator universe to stay steady even as the overall ecosystem expands.

Almost half (48%) earned $15,000 or less, according to research from NeoReach. That might be a nice source of supplemental income, but it won’t pay the bills. And the income can be quite unpredictable. Clint Bentley was profiled in a Wall Street Journal article. The 29-year-old has 400,000 followers across TikTok, Twitch and YouTube, and earned $58,084, which is in the upper third of earners, but he still lives with his parents because of the volatility of his income.

Live by the algorithm and die by the algorithm

And just like traditional media that has found they need to keep pace with changes in algorithms, the same is true with the Creator Economy. The difference is that platforms are tweaking their algorithms to the benefit creators, while Facebook and X have both tweaked theirs to the detriment of traditional publishers. But it means that for many creators, their businesses are built on the rented audiences of the platforms. Of course, those creators who have built communities and networks of their own and direct supporters through platforms like Patreon have more of a safety net. One of the creator community networks I follow is vintage computing - Sean of Action Retro, Kate of Macintosh Librarian and Steve of Mac84. They have loyal followings and operate in a mutually supportive community, helping create a larger audience and deeper relationships. Traditional media has made a similar pivot to direct relationships with subscribers and members as platforms have sent less traffic to drive ad impressions.

Something else is at play here: Creator-Influencer businesses are leaner than the large legacy media organisations. In the barbell media economy, big legacy players like the New York Times are the winners that take the most of the pivot to reader revenue and multi-market, multi-product businesses. On the opposite end are agile but also very lean creator businesses. Some are solopreneurs, but others have grown to become nascent media companies in their own right.

Axios’ Sara Fischer was on Brian Morrissey’s Rebooting podcast talking about the Creator-Influencer Economy, and she was quite direct. These new players don’t have the overheads, high-cost structures or, yes, unions, that legacy players have, she says.

Taking a step back, the distribution networks have changed, which has shifted power from television, cable and satellite networks. A Media Operator is reporting that VCs and funds are looking for roll-up investments in the Creator Economy that will drive concentration. This is to say that the Creator Economy is looking a lot like the traditional media economy. The thing that has changed is the distribution networks that are aggregating attention and revenue.

News influencers are a slightly different subset of this economy, and that’s on deck for another newsletter about that. If you want to get ahead and read more, Liz Kelly Nelson, who is laser-focused on this, breaks down where news influencers sit in the new news eco-system.

Newsletters: The cockroach of digital media

These are the stories that caught my eye while I thought about the Creator Economy.

The humble newsletter is like the cockroach of digital media—hardy and resilient. It is the MVP of many digital media operations. In fact, Sarah Ebner of the FT says it is the “biggest driver of reader engagement”. I talk about newsletters as part of the post-platform Push Economy of media. Audiences have committed to content that is pushed to them: newsletters in their inboxes, podcasts in their favourite apps or the push notifications of media apps. Continuing the theme above, she says that the personality-driven newsletter is one of the developments she has seen in her decade of work on the format.

Media builds its own social spaces

I’ve been following how publishers are reviving their own efforts at creating communities to challenge the dominance of the major social media platforms. I was told by a friend in the industry that Buzzfeed’s Jonah Peretti has talked about launching a social network before, but it looks like he is serious this time. He has a hypothesis that people are craving digital services that don’t feel like they are manipulating them emotionally. I don’t disagree with him, but Buzzfeed played the game of the social networks a long time that I don’t trust it as a brand to bring something authentic to the table.

Jeff Elgie is one of the most interesting leaders in the local journalism market, and his Villiage Media has launched its place-based social network on select sites in its Canada-based news network. Jeff is smart and focused, and this is an experiment to watch both in terms of audience engagement and how it drives KPIs for the business.

With so much doom and gloom in the industry, it is always good to hear about success and learn from it. Le Monde’s successful subs strategy has allowed it to double the size of its newsroom and see a point where its digital subscribers will pay for that enlarged newsroom.

AI roundup: NYTimes newsroom rollout, Thomson Reuters court win and how journalists are using it

AI is proving itself an important tool for publishers to make their operations more efficient and their revenue models to increase conversion and decrease churn more effective. The New York Times might be fighting OpenAI in the courts, but it just announced a major deployment of AI in its newsroom.

If this case holds up on appeal, it would be a major precedent. AI companies have relied on US fair use provisions to justify their scraping of content from their Westlaw service by a company called Ross Intelligence. Key to the ruling was that the judge found the AI company was attempting to create a market substitute by scraping Westlaw’s content.

AI adoption is industries often outpaces official guidelines. Experiments with the technology both as part of formal programmes or individual efforts are happening across the industry, and Editor & Publisher provides a useful overview.

An old friend, Mark Jones shared this, and it’s a good one to bookmark and use. I saved it because I should follow the suggestions more than I do!

The Creator-Influencer Economy pt 1: looking back on the first wave – bloggers

The total addressable market of the Creator-Influencer Economy could double by 2027 to $480 bn, according to Goldman Sachs Research. The forecast made in 2023 projected the Creator Economy to roughly double in five years.

I’ve been mulling the Creator-Influencer Economy, and I’m still rolling this over in my head so file this newsletter in the category of me thinking out loud. As I have seen several times over, a lot of the analysis centres on how screwed legacy media is because they are now competing against an army of individual creators and news influencers across a range of platforms including TikTok, YouTube, Twitch, Substack and more. Yes, there is that, but having been to this rodeo before, I want to think about this in two ways:

  1. The economics and dynamics of the Creator Economy itself.

  2. The business model pivot legacy media would have to make to take advantage of those dynamics and the pros and cons of some of the most obvious approaches.

As I started to think about this present moment of disruption in media, I started to think about previous chapters of digital creators, which created new markets and destroyed old ones. How is the current wave of fragmentation and distribution different from earlier ones? Creators have always been a part of the internet, and casting a look back reminded me of how early pioneers experimented with ideas, including commercial models, that have now become the foundation of the Creator Economy.

The Long History of the Creator Economy - JenniCam and the rise of the bloggers

Digital technology has been challenging and remaking traditional media almost from its inception, and I’ve been covering it and living it in various roles now for more than three decades. Yeah, I’m that old, but this isn’t a shake-my-fist-at-the-sky moment to tell the kids to get off my lawn. (Although, yes, I have those moments.) It is to say, I’ve watched the technology and market evolve through various iterations.

People forget about lifecasting and blogging communities like LiveJournal from the 1990s. Not long after I met my wife in 2006, I remember This American Life rerunning an episode from a decade before, in 1997, talking about experiences they were having on the Internet, which they wondered if they could have anywhere else. It highlighted the story of one of the biggest lifecasters, Jennifer Ringley of JenniCam fame. She started streaming pictures from her dorm room when she was a 19-year-old university student, and at the peak of its popularity, her site received 7m visitors a day. After graduating, she offered a paid service with a higher refresh rate. Voila, a business model that would seem quite familiar in today’s world of camgirls, although I’m hesitant to refer to her as that.

Another chapter in this story was the rise of blogs. In 2024, the US presidential candidates courted influencers who have podcasts, YouTube channels, newsletters and massive TikTok followings. In 2004, with the initial success of Howard Dean, bloggers rose to challenge the establishment media in setting the political agenda. They had a prominent place at the Democrat’s nominating convention that year. Not only did I cover the phenomenon for the BBC, but I ‘blogged’ during the US political conventions and then the final months of the 2004 elections. It was one of the first forays by the BBC into blogging, although the comments had to be taken in via email and then carefully curated. In 2005, I came to the UK to research and write a white paper on how the BBC should respond to revolution in media.

It was a heady time when the lines between traditional media and the audience blurred. I launched a segment on Radio 5 that looked at the news agenda through the lens of blogs and podcasts (and later social media), and then I was on the launch team of the World Service interactive programme World Have Your Say. I often brought bloggers and podcasters, including milbloggers - members of the US military blogging and podcasting from Iraq and Afghanistan - onto the programme.

Much like now with creators, people talked about the democratiisation of media and a force that would “challenge traditional media”. In 2007, Julian Robins wrote a paper as a Reuters Fellow at Oxford University. He wrote:

The blogging revolution comes at a time of turmoil for the traditional media, as digital technology changes the way people consume news, information and entertainment. Audiences and readerships are falling, along with profitability. Many mainstream news organisations have rushed to embrace user-generated content as they seek to fine-tune their business model for the new age.

As I was writing this, I thought that I wouldn’t call the current phase of creators democratisation. It’s a marketplace of attention and commerce. While yes, news and political influencers are part of the mix, it’s also about technology, fashion, food and so much else.

The fall of blogging and the rise of a new kind of social media

But blogging faded, although one might argue that newsletters are the new blogs. But blogs and podcasts faded, although podcasts would enjoy a renaissance. The decline of blogs was down to several factors. One issue was discovery, which still bedevils new podcasts. Technorati was the search engine for blogs, long before Google tried to create a subset of its search. Google launched its blog search in 2005, but shut it down as a standalone product in 2011. However, apart from search, some fundamental technology that connected the distributed network of bloggers broke, and the fediverse was a long way off. Note, I am sceptical that most people will embrace distributed networks. Those who do choose to accept a higher degree of friction for what they perceive as freedom, but that’s a whole other discussion.

However, I think what caused the decline of blogs and explains the rise of everything that came after was network effects. Bloggers used a system called trackbacks to see who had linked to them, and it was often via those links that helped bloggers discover each other. Trackbacks became overwhelmed with spam and ceased to function effectively. Comments were another way that bloggers interacted with each other, but these comments were spread across blogs. It was a highly distributed conversation, but the comments and links helped motivate bloggers to keep on writing. I remember what a thrill it was.

Of course, the social media platforms quickly eclipsed blogs. Why?

  • Powerful network effects. It was much easier to find your friends.

  • Simpler engagement mechanisms including lightweight likes and easy commenting.

  • Algorithms that helped you keep in touch with friends and topics you were interested in. (Although we can debate how effective they are now.)

  • Masssive, centralised aggregators for attention.

That last point is key. Grassroots bloggers prided themselves on their distributed nature. It reminds me of the quote from the film Star Wars: The Rise of Skywalker, “That’s not navy, sir. It’s just…people.” However, the attention was spread across thousands of blogs like stars across the sky. Bloggers revelled in the distributed nature of their conversation, but it wasn’t to last and couldn’t have lasted in the face of what came next.

Social media networks captured that attention and aggregated it. They provided much more efficient markets for advertisers, and that helped support a new generation of creators. Attention shifted to these platforms and so did billions of dollars of revenue globally. It drained attention and revenue from traditional media, particularly journalism. But that’s the next chapter.

The AI imperative for media

The biggest news in AI overall was the release of DeepSeek, a disruptive Chinese distilled AI model. It leveraged other models to beat OpenAI and Anthropic by some measures of AI progress, AI expert Karen Hao told the Reuters Institute. Her analysis is worth reading. She said DeepSeek has triggered a long-standing, but dismissed, challenge to the dogma that AI progress needed more resources rather than a more efficient use of resources. It’s an important read. Of course, with this being a Chinese disruptor of America’s perceived dominance of AI, it has political overtones.

While creators are part of the current chapter in media, AI also dominates the innovation agenda for journalism organisations. Brian Morrissey is not impressed. “Unlike past new technologies, publishers have taken a far more cautious approach to using AI beyond the basics or for little skunkworks projects that are unlikely to have much impact. The examples of publishers using AI are usually confined to small-scale frippery like AI-enabled internal search.”

I think he’s being a little harsh. I saw a demo of a tool The Economist is developing to scan academic papers for possible story ideas and came away impressed, and the Nursing Times use of AI to power a question-based way to access the intelligence of its archive is smart, especially how it is connected to their subscription model.

INMA’s Sonali Verna looks at the strategic frameworks that media companies could use to maximise the impact of their AI efforts. At the end of the day, I think AI should be deployed to do what it is uniquely good at and solve pain points for audiences and editorial teams.

The Independent is showing the sophistication in their approach as they grow as a digital English-language news brand. I have been fascinated with their A2K - anonymous to known strategy in the UK. They have 11 different ways to capture first-party data from their audiences. In the US, they are smartly scaling to stake a claim to that market. They have a lot of lessons to teach other media companies on how to survive in this highly competitive, rapidly changing media market.