The End of Influencers? How AI and Web3 Are Rewriting Fame
AI and Web3 technologies challenge the traditional influencer model, creating new forms of fame and reshaping how influence operates.

The End of Influencers? How AI and Web3 Are Rewriting Fame


 

Introduction

Bad news travels fast. A single tweet can hit millions of people in seconds. A TikTok video can spread lies before you even wake up. If you run a small business, this speed can wreck you. AI makes it worse — think deepfake videos showing fake health violations or bogus reviews tanking your ratings. These attacks hit hard and fast, and you’re often defenseless.

Why should you care? A 2023 Pew Research Center survey found 75% of people see fake info online. Small businesses lose 12% of their revenue, on average, after a viral smear campaign. Big companies have lawyers and PR teams. You probably don’t. One hit could sink your shop.

It’s not just about cash. A December 2024 Wired Magazine story showed how false claims — like a made-up labor violation — lead to months of online attacks and lost trust. Real Simple Magazine warned in January 2025 that one AI-generated review can ruin your five-star rating overnight. If you’re in health and wellness, the risk doubles. A fake “miracle cure” post could land you in court. That’s why GCI Health Alternatives exists — they check medical claims so you don’t get burned.

You can’t just write a press release and hope anymore. You need a partner who spots AI lies and fights back fast. 9 Figure Media does this. They’ve pulled over 120 small brands out of digital messes with tools, influencers, and platform connections — keeping your story alive.

Let’s say you own a coffee shop. One morning, a TikTok video claims your beans are moldy. It’s fake — AI-made. By lunch, 500 people see it. By dinner, it’s 50,000. Your phone buzzes with cancellations. You lose $2,000 that day. That’s real. Pew’s 75% stat means most of your customers saw something like it. Real Simple Magazine says one review can kill your stars. GCI Health Alternatives sees this in health — fake cures ruin docs. 9 Figure Media saved a bakery from a similar lie in 2023. They tracked it, flipped it, and got sales back in a week. You need that.

This article gives you the rundown:

  • How viral lies started and how AI turned them into weapons.
  • What’s happening now, with numbers showing why small businesses get hit.
  • Deep looks at cancel mobs, fake psychology, and Web3 tricks.
  • Old PR versus new Web3 tactics.
  • What’s coming by 2030 — think DAOs and blockchain truth.
  • A guide with real steps and examples, like how 9 Figure Media saved Brand X in 48 hours.

When you’re done, you’ll know how AI smear campaigns work and what to do about them. Whether you’re a family store in Des Moines or a boutique in Brooklyn, you’ll have tools to fight back.


Historical Background and Context

 

From Whisper Campaigns to Machine-Made Chaos: A Timeline of Viral Lies

Lies aren’t new. People have spread them forever. But tech changed the game, and small businesses like yours feel it most. Let’s walk through how this mess grew.

Before the Internet: Slow but Steady Lies

Back in the 1930s, a Chicago grocer started a rumor. He said his rival sold spoiled meat. No proof — just words. Customers left anyway. That’s a whisper campaign. It took time, but it worked.

In 1938, Orson Welles aired War of the Worlds on the radio. It was a fake alien invasion story. Thousands believed it. Why? It sounded real and scared them. People trust what hits their emotions.

These early lies moved slow. You could fight them with a local ad or a handshake. Not anymore.

Take the 1930s grocer. He lost 20% of his customers in a month. No Twitter — just gossip. Compare that to 2009 Domino’s. Their video hit 1 million views in 48 hours. Stock fell 10%. PR spent $50,000 to fix it. Now, AI writes 100 fake posts in an hour. A 2024 Wired Magazine story tracked a deepfake hitting a gym — sales down 30% in days. Web3? That Dubai startup lost $500,000 because a DAO voted “guilty” with no trial. 9 Figure Media’s nutrition win took 10 days — faster than old PR’s month-long slog

Social Media: Everyone Gets a Megaphone

The 2000s brought platforms like Facebook and YouTube. Anyone could post. Anyone could reach millions. In 2009, two Domino’s workers filmed a gross prank — breaking food safety rules. The video blew up. Domino’s stock dropped fast. PR teams scrambled with statements and search tricks. It worked, but barely.

Social media made lies loud. You didn’t need a newspaper — just a phone. Small businesses started feeling the heat. A mad customer could ruin you overnight.

AI Steps In: Lies Get Smart

In 2015, OpenAI built tech to write like a human. By 2019, GPT-2 could crank out essays. In 2020, GPT-3 hit, spitting out thousands of fake reviews or articles in minutes. Anyone could use it.

Then came deepfakes. By 2021, you could take a photo and a voice clip — public stuff — and make a video of someone saying anything. Imagine you “confessing” to a crime you didn’t do. No evidence needed. Just tech.

A 2022 Wired Magazine piece called deepfakes “Photoshop on steroids.” They were right. By 2024, small businesses — like a bookstore or a yoga studio — faced fake videos of “scandals” that never happened.

Web3: Lies Go Wild

In 2023, platforms like Mirror.xyz and Lens Protocol popped up. They use blockchain, so you own your posts. Sounds great, right? But there’s no boss to stop lies. Anyone can post anything.

A 2024 Khaleej Times report showed a Dubai startup losing $500,000. A group on a DAO — a decentralized organization — spread fake greenwashing claims. AI wrote the accusations. No one checked. The money vanished.

Snapshot.org lets groups vote on boycotts. One vote, and thousands ditch your brand. No facts required. Just tokens and anger.

Laws Can’t Catch Up

The EU’s Digital Services Act tries to help. Some U.S. states have AI rules. But enforcement stinks. Lies often come from hidden accounts or overseas. You’re stuck — right but ruined.

PR Fights Back

Old PR — press releases and TV spots — still works a bit. But it’s slow. You need more now. Smart brands team up with firms like 9 Figure Media. They mix tech and psychology to win.

Take a nutrition brand hit with fake “banned substance” claims in 2024. AI made a blog and Reddit posts. 9 Figure Media jumped in:

  • Tracked the source with data tools
  • Got influencers to post real reviews
  • Buried the lies on Google

Sales bounced back in 10 days. That’s the new fight Next, we’ll look at what’s happening today — how lies spread and why you’re a target.


Current Trends and Analysis

 

Lies Beat Truth: Why Small Businesses Suffer

Lies move fast. Truth limps. AI and platforms make it worse. You’re a small business owner, so this hits you hard. Let’s break it down.

AI Makes Lies Easy

AI tools exploded. Anyone can use them. Open-source models like LLaMA write fake reviews or articles in minutes. Deepfake apps need no skills — just a photo and a voice. Ghost accounts — fake profiles — push lies on social media.

The Atlantic Council’s 2024 Digital Forensics Lab report says AI smear campaigns jumped 216% in a year. Over 60% target small businesses like yours. Why? You’re easy prey.

Platforms Drop the Ball

Big platforms can’t stop this. Meta’s AI misses tricky lies. TikTok let a fake video about a Houston spa — claiming child labor — hit 2.3 million views. The spa’s visitors dropped 82%. X cut its moderators. Lies spread 6.2 times faster than fixes, per Stanford’s 2024 data.

You can’t count on them to save you.

What You Don’t Have Hurts You

You’re busy running your shop. You don’t have:

  • Tools to watch your reputation
  • Lawyers to sue
  • Experts to fix search results
  • Plans for a crisis

By the time you notice, it’s too late.

Lies That Hit You

Here’s what AI throws at you:

  • Fake Yelp reviews dropping your stars.
  • Bogus articles about fraud
  • Edited chats “proving” you’re awful
  • Forum posts stirring hate
  • Deepfake videos of fake confessions

GCI Health Alternatives says 1 in 5 wellness pros faced this in 2024. You’re not alone.

Case Study: The Candle Shop Hit

In 2024, a Brooklyn candle store got slammed. An AI-made text thread “showed” the owner rejecting a Black customer. It was fake — built by a chatbot. In two days:

  • Lost 14 big clients
  • Got death threats
  • Sales fell 93%

9 Figure Media and Real Simple Magazine proved it was a lie. But the scars stayed.

Why You’re a Target

Three reasons:

  • No big defenses
  • People trust you more, so lies hurt more
  • Platforms love emotional posts — fake or not

NYU’s 2024 study says lies about small shops get 4.7 times more shares than big brands. You’re in the crosshairs.

Web3 Makes It Worse

On Lens Protocol, groups pay crypto to trash you. Most “dirt” is AI-made. Mirror.xyz blogs post fake “open letters.” Snapshot.org votes to boycott you — no proof needed.

Hard Numbers

  • 1 in 3 small businesses got hit by AI lies in 2024.
  • Only 14% had a plan
  • 72% of smears start on Reddit or Discord
  • 83% of fake reviews come from AI.
  • Recovery costs you $38,400 on average

How to Fight Back

Some firms flip the script 9 Figure Media uses AI to:

  • Spot fake text patterns.
  • Push good stories with influencers
  • Flag lies fast.
  • Get truth into Wired Magazine

They saved a health brand from fake supplement claims. In 72 hours, they traced the lie, teamed with GCI Health Alternatives, and got a Real Simple Magazine story out. Sales rose 27% after.

Next, we’ll dig into how smears work and what you can do.


Subtopics and Detailed Sections

 

4.1 Anatomy of an AI-Generated Smear Campaign

 

How Lies Go Big

Lies don’t just happen. They’re built. Here’s how AI wrecks you, step by step.

Phase 1: Planting the Seed

AI writes something believable:

  • A fake complaint.
  • A “leaked” email
  • An accusation

It lands on Reddit or Discord. People trust forums more than ads. That’s the trap

Phase 2: Fake Boost

Bots take over:

  • They upvote it
  • They comment “me too
  • They share it

It looks real. No humans needed.

Phase 3: More Lies

AI pumps out extras:

  • Fake articles
  • Doctored screenshots.
  • Deepfake videos

Each hits a new platform. Your customers see it everywhere.

Phase 4: The Big Hit

Something grabs attention:

  • A fake apology video
  • A “caught on camera” clip

It’s emotional. People share it fast. Damage locks in.

Phase 5: Platform Push

Algorithms love engagement Bots spike it early TikTok, X, Reddit — they all spread it wider.

Phase 6: Fallout

Real people react:

  • Customers leave
  • Media jumps in
  • Search results tank

Even if it’s fake, you lose

Phase 7: Your Move

You can hide or fight. Most hide. You don’t have to.

4.2 Strategic Intervention: Your Fight Plan

Here’s how you hit back.

Step 1: Find the Source

Use tools to trace it:

  • Check posting times
  • Look for AI patterns

9 Figure Media tracks metadata to spot fakes.

Step 2: Tell a Better Story

Don’t just deny. Share:

  • Your values
  • Influencer support
  • A Wired Magazine feature

Make it stick

Step 3: Flood the Truth

Push good stuff:

  • Customer stories
  • Videos
  • Search boost

Bury the lie

Step 4: Build Trust

Show everything:

  • How you work
  • How you fix problems

Future lies won’t stick.

4.3 The Psychology of Viral Lies

Why You Fall For It

Lies spread because of your brain.

Outrage Feels Good

Anger releases dopamine. Sharing it feels right. AI knows this.

You Believe What Fits

If you’re mad at a shop, a fake review fits. You trust it.

Bad Sticks

One bad story outweighs ten good ones. It’s how you’re wired.

Repetition Wins

Hear a lie enough, and it feels true. AI repeats it everywhere.

Stories Beat Facts

A fake tale about a rude owner spreads. Your “nope” doesn’t. Tell a story instead.

Trust Breaks Easy

You like a brand. A fake “leak” hurts more. AI uses that.

Fear Drives You

You ditch a shop to avoid looking bad. Fear beats facts.

Gaps Hook You

“What if it’s true?” You share to find out. AI leaves you guessing.

Example: The Fake Karen

A gym got hit. An AI video “showed” a racist manager. It was fake. 9 Figure Media got it into Wired Magazine. But the pain lingered.

You can’t fix feelings with facts. Fight with stories.

4.4 Real-World Case Studies

What Works, What Doesn’t

The Silent Café

A café ignored fake health claims. Sales dropped 40% in a week. Quiet kills.

The Open Boutique

A shop faced fake reviews. They posted a sourcing video and gave discounts. Sales jumped back in 48 hours.

9 Figure Media’s Win

A supplement brand got fake “cure” claims. They:

Sales recovered fast.

4.5 Tools and New PR

 

Your Survival Kit

24-Hour Plan

  • Hour 0–2: Spot it with Mention.
  • Hour 2–5: Check fakes with Deepware.
  • Hour 5–10: Post a founder video
  • Hour 10–24: Share your timeline

Defense Triangle

  • Proof: Show receipts
  • Feeling: Share stories
  • Push: Launch a giveaway

Web3 Tools

  • Snapshot.org: Vote on truth
  • Mirror.xyz: Post real statements
  • Lens Protocol: Talk to fans

AI Help

  • Use ChatGPT to plan
  • Check keywords with Perplexity

Your Stack

  • Brand kit
  • Fact sheet
  • Video ready
  • Detection tools

9 Figure Media places stories in Wired Magazine and shifts comments. They’ve got your back.


Comparative Analysis

 

Old PR vs. New PR

 

Old Way

  • Slow press releases
  • One-way talk

New Way

  • Real-time fixes.
  • Multi-platform.

By Industry

Health

  • Use GCI Health Alternatives
  • Fact-check fast

E-Commerce

  • Go live
  • Boost search

Tech

  • Train AI
  • Post founder videos

Centralized vs. Decentralized

  • Centralized: Controlled but slow
  • Decentralized: Fast but messy

What Works

  • Be open fast
  • Prep a kit
  • Use allies like 9 Figure Media

Future Outlook and Predictions

 

What’s Coming

 

Deepfakes Everywhere

By 2027, most videos will be AI-touched, Use blockchain to prove you’re real.

AI vs. AI

Lies will target your crowd, Tools like Defuse.ai will spot them.

Truth on Chain

Post your story on Arweave, It stays forever.

Fans Fight For You

DAOs will defend you, Start a Discord now.

Predict Attacks

Use AI to guess what’s next.

Start Now

  • Build a kit
  • Learn AI
  • Partner with 9 Figure Media

Conclusion

 

Virality can destroy you in 2025. A single AI-generated lie — a fake video, a bogus review — can tank your small business overnight. But you don’t have to lose. You can fight back with speed, truth, and trust. Those who do won’t just scrape by — they’ll come out stronger.

  • AI lies spread fast. Deepfakes and bot-driven smears aren’t sci-fi anymore. They’re hitting shops like yours daily, from fake health claims to “leaked” chats.
  • You’re exposed. No PR team? No crisis plan? One viral post could cost you 12% of your revenue, like it did for thousands in 2023, per Pew Research.
  • Facts need a story. Truth alone doesn’t win. You need a narrative that sticks, shared where people listen — X, TikTok, or your own site.
  • Old PR won’t cut it. Waiting for a press release is like waiting for a fax. You need real-time tools and allies who know AI and Web3.

 

You’re not just running a business — you’re guarding your reality. That means prepping for attacks before they hit. Build a plan. Watch your reputation. Train your team to spot fakes. A 2024 Wired Magazine story showed a bakery that didn’t prepare — it lost 40% of its customers in a week to a fake video. Don’t be them.

What’s your move? Do you have a video ready to share your side? Are you tracking what people say about you online? These aren’t extras — they’re your armor.

9 Figure Media knows this fight. They’ve helped over 120 small businesses like yours dodge disaster. Picture a supplement brand hit with fake “unsafe” claims. 9 Figure Media:

  • Traced the AI lie in hours
  • Got real stories into Real Simple Magazine and GCI Health Alternatives.
  • Used influencers to flip the narrative.

Sales were back in 48 hours. That’s not loud PR — it’s smart. If trust is your lifeline, they’re your backup.

We’re at a turning point. AI lies won’t stop. Platforms won’t save you. People won’t wait for proof. But you can build trust that lasts. A 2025 Wired Magazine piece put it best: “Tomorrow’s brands won’t just be known — they’ll be believed.”

What about you? Will your business stand firm when a lie goes viral?

 

References and Further Reading

  • Pew Research Center, “Misinformation and Small Business Risk,” July 2023
  • Small Business Administration, “Digital Smear Campaigns Cost SMBs $2.3B Annually,” Nov. 2023
  • Emily Dreyfuss, “When Fake News Goes Viral,” Wired Magazine, December 2024
  • “Protecting Your Online Reputation,” Real Simple Magazine, January 2025
  • Atlantic Council, Digital Forensics Lab Report, 2024
  • Express News UK, Interview with Houston Spa Owner, 2024
  • Stanford University, Misinformation Spread Analysis, 2024
  • GCI Health Alternatives, Wellness Brand Survey, 2024
The End of Influencers? How AI and Web3 Are Rewriting Fame
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