Twenty-eight years ago, I sat at my desk at Wired magazine, typing out a story that felt almost too personal to publish. The headline was simple: "The Hot New Medium Is … Email." I was writing about myself — a creator of a then-novel phenomenon: the viral internet newsletter. Think Substack, but in 1995, built by hand, for an audience of just 4,400 subscribers on a network of only 16 million people.
I called it "Meme." It was delivered once a month via electronic mail. In today's language, I was an early influencer. And I desperately believed in an idealized picture of the internet, where ideas flowed freely and credibility was earned through genuine connection.
That world is gone. AI has killed it. And in its place, something far more honest is being born.
How AI Destroyed the Old Model of Influence
The core of the old influencer model was trust. You followed someone because you believed they had genuine expertise, a unique perspective, or an authentic voice. But AI has made that foundation impossible to maintain. Today, an AI can generate a thousand posts, a hundred videos, or a complete persona in minutes. It can mimic tone, fabricate expertise, and produce content at a scale no human can match.
As I explained to Wired readers back in 1995: "What counts is who reads it." That was the promise of artisanal knowledge — a direct, human connection. Now, the question has shifted. In a world where any voice can be manufactured, how do you know who is real? The answer, according to the new thinking, is that you can't. The old category of "influencer" — built on manufactured persona and content volume — is dead.
Why This Matters Right Now
This isn't just a nostalgic lament from an old internet pioneer. It's a fundamental shift in how we consume information, make purchasing decisions, and even form opinions. For years, brands and audiences relied on influencers as trusted intermediaries. That trust has been systematically eroded by AI-generated content that is indistinguishable from human creation. The result is a credibility crisis that affects everyone — from marketers to consumers to the very fabric of online discourse.
The emotional consequence is profound. We are entering an era where the default assumption is skepticism. Every post, every review, every piece of advice must be questioned. This is exhausting, but it is also forcing a necessary evolution.
How the Shift Unfolded
The journey from artisanal newsletters to AI-generated content was gradual, then sudden. In the early days, influence was a craft. You built an audience through consistent, valuable, and personal output. Then came the platforms — Instagram, YouTube, TikTok — which democratized reach but also commoditized authenticity. The final blow was the arrival of generative AI, which could produce content at a scale and quality that made human effort seem obsolete.
What began as a land of artisanal knowledge has become a factory of synthetic voices. The very tools that promised to amplify human creativity have instead made it indistinguishable from machine output.
Who Is Affected and What Experts Are Saying
The impact is felt most acutely by the creators who built their careers on trust. According to the author, the old model of the "influencer" — a person whose primary value was their manufactured persona — is no longer viable. Audiences are becoming more discerning, and brands are starting to demand verifiable expertise, not just follower counts.
Experts in digital media argue that the next wave of influence will belong to those who can prove their human judgment. The new currency is not content volume, but verified, transparent decision-making. The question is no longer "How many followers do you have?" but "What can you actually do, and can you prove it?"
What We Know So Far — and What Remains Unclear
What we know is that the traditional influencer model is in terminal decline. AI has made it impossible to trust online personas at face value. What remains unclear is exactly what will replace it. The author suggests a return to a more honest form of influence — one based on demonstrated expertise and transparent human judgment. But the mechanics of this new model are still being defined.
Will we see a rise in "verified human" badges? Will platforms need to implement new forms of provenance tracking for content? Or will the market simply self-correct, with audiences gravitating towards those who can prove their authenticity through actions, not just words?
Risks, Concerns, and the Balanced View
The risks of this transition are significant. For creators who have built their livelihoods on the old model, the shift can be devastating. There is also the danger of a "trust vacuum" where no one is believed, leading to a breakdown in online community and commerce. Critics argue that the new model of "verified expertise" could be elitist, favoring those with institutional credentials over those with genuine but informal knowledge.
However, the author presents a balanced view: the death of the old influencer category is not a tragedy, but an opportunity. It forces a return to what made the early internet so powerful — a focus on genuine connection and valuable insight, rather than manufactured persona.
Why Similar Trends Are Growing
This shift is part of a larger pattern across the digital landscape. We are seeing similar crises of trust in news media, with AI-generated articles flooding the web. In e-commerce, fake reviews generated by AI are becoming a major problem. In social media, deepfakes and AI-generated profiles are eroding the very concept of identity.
The trend is clear: as AI becomes more capable, the value of verifiable human input increases. The scarcity is no longer content — it is trustworthy, human-generated judgment.
- AI can now generate content that is indistinguishable from human writing, video, and audio.
- The traditional influencer model relied on the assumption of human authenticity, which AI has broken.
- The new model of influence will be based on verified expertise and transparent human decision-making.
"What counts is who reads it." — David Bennahum, Wired, 1995
What Readers, Users, or Investors Should Know Now
For readers and users, the key takeaway is to become more critical consumers of online content. Look for verifiable credentials, transparent processes, and consistent, demonstrable expertise. For creators, the advice is to double down on what makes you uniquely human — your personal experiences, your decision-making process, and your ability to provide value that an AI cannot replicate.
For investors and brands, the opportunity lies in platforms and tools that can verify human authenticity. The next big thing in influence will not be a new social media platform, but a system that can prove a creator is real, knowledgeable, and trustworthy.
What Could Happen Next
The future of influence will likely be a hybrid model. AI will handle the grunt work of content creation and distribution, while humans will provide the judgment, curation, and personal connection that machines cannot. We may see the rise of "curator-influencers" who are valued not for their own content volume, but for their ability to filter and interpret the vast sea of AI-generated information.
Another possibility is the emergence of "provenance" as a key metric. Just as we now track the origin of food or diamonds, we may soon demand to know the origin of online content. Was this post written by a human? What are their credentials? Can they prove their expertise through verifiable actions?
Our Take: Why This Story Matters Beyond One Incident
This is not just a story about the death of a job category. It is a story about the fundamental nature of trust in the digital age. The early internet promised a world where ideas flowed freely and anyone could be heard. That promise has been fulfilled, but at a cost. The noise has become so loud, and the tools of deception so powerful, that we are being forced to rebuild the very concept of credibility from the ground up.
The author's journey from a 1995 newsletter writer to a commentator on the AI-driven death of influence is a powerful metaphor for our times. The artisanal internet is gone. But in its place, something better may be emerging — a system where influence is not about who shouts the loudest, but about who can prove they are real.
FAQs
How has AI killed the traditional influencer model?
AI has made it possible to generate content, personas, and even expertise at a scale and quality that is indistinguishable from human output. This has destroyed the trust that was the foundation of the old influencer model, where audiences believed they were following a real, authentic person.
What is replacing the old influencer category?
A new model of influence is emerging, based on verified human expertise and transparent judgment. Instead of valuing content volume or manufactured persona, the new model values demonstrable skills, verifiable credentials, and a clear record of human decision-making.
Can AI-generated content ever be trusted?
AI-generated content can be useful for information and entertainment, but it cannot replace the trust that comes from a verifiable human source. The key is to be transparent about when AI is used and to provide clear provenance for any claims of expertise or authenticity.
What should creators do to survive this shift?
Creators should focus on what makes them uniquely human: their personal experiences, their decision-making process, and their ability to provide value that an AI cannot replicate. They should also seek ways to verify their expertise through credentials, transparent processes, and consistent, demonstrable output.
