Taylor Lorenz’s Power User

What if everything you've been told about technological progress is a lie?
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AI is changing society faster than ever, but resistance to technology is not new. For this week's Free Speech Friday I spoke with academic Thomas DeKaiser, author of Techno Negative, about the history of anti-technology movements, from the Luddites smashing machines in the Industrial Revolution to anarchist groups bombing computer companies in the 1980s.
We discuss AI, labor automation, surveillance, moral panic, Silicon Valley ideology, tech CEOs, machine breaking, environmental destruction, and why backlash against technology keeps returning throughout history. We also explore whether technological progress actually benefits ordinary people, or mainly serves corporations and power. Sometimes it's not what you think!
Topics include:
Why anti-AI movements are growing

Big Tech and labor exploitation

AI moral panic and conspiracy theories

Environmental costs of AI

Surveillance and control

The politics of technological progress

Why people resist new technology

Silicon Valley and deregulation

The Lie Created To Strip Your Rights Online
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In March, a CNN investigation into a "Global Academy" of 62 million men allegedly drugging and assaulting women broke the internet. But the most viral story of the year was built on a foundation of misleading statistics and bad journalism. 
Journalist Kat Tenbarge joins me to debunk the "62 Million Men" narrative. We dig into how this story was used to manufacture consent for dangerous new censorship laws and who is actually behind the movement to repeal Section 230.
In this video, we cover:
Why the "62 million" figure is a misleading traffic stat, not a count of criminals.

The connection between CNN’s reporting and far-right Christian nationalist groups like Exodus Cry.

How the "Global Academy" branding was manufactured from a single interview quote.

The real-world harm of FOSTA-SESTA and why new "safety" bills like KOSA actually endanger victims.

How mainstream media organizations lobby against free speech to protect their own business interests.

Don't let emotional propaganda dictate tech policy. We look at the systemic failures of the legal system and why villainizing platforms instead of perpetrators is a losing battle for women's rights. If you’ve seen the “62 million men” claim, you need to watch this.

Should AI be protected by free speech laws?
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In this episode of Free Speech Friday, I sit down with Corbin K. Barthold, Internet Policy Counsel at Tech Freedom, to discuss one of the most controversial legal papers of the year: "Why the First Amendment Protects Artificial Intelligence."
While many are calling for strict AI regulation to prevent "AI psychosis" or the spread of misinformation, Corbin argues that AI outputs are a protected form of expression. If we allow the government to dictate what an LLM can and cannot say, are we inadvertently giving them the power to control our access to information?
In this video, we cover:
Why AI content qualifies as First Amendment protected speech.
The theories the government uses to justify censorship.
Analysis of recent tragic cases involving Character AI.
Why New York’s S7263 law might be "rank protectionism" for doctors and lawyers.
The progressive case for why we should actually want free and open AI.
#siliconvalley #tech #technology #internet #ai #artificialintelligence

There’s a hidden social hierarchy on the internet
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Is your Instagram "low class"? While we like to think of the internet as a universal playground, a new digital class war is emerging. From the way you use filters to the number of emojis in your bio, your digital habits are increasingly signaling your socioeconomic status to the world.
In this episode of Power User, I sit down with etymologist and cultural commentator Adam Aleksic to decode the hidden semiotics of "Low Class Instagram." 
We explore why billionaires keep their accounts private with 200 followers, why the "photo dump" has become a sophisticated narrative tool for elites, and how algorithms are siloing us into class-based bubbles.
We break down:
The "Puppy Filter" Trap: Why technical illiteracy is the new class signifier.

Billionaire Behavior: Why the ultimate luxury is being completely offline.

Digital White Flight: Why elite users are fleeing Facebook and Instagram for "curated" spaces like Bluesky vs Substack.

AI & Class: How your choice of LLM (Claude vs. ChatGPT) and even your font choice (Serif vs. Sans Serif) reveals your status.

The Death of Anonymity: Why the "surveillance state" makes it harder for lower-class users to experiment with their identities.

[PATREON PREVIEW] Is Geese a Psyop? How the Music Industry Fakes Virality
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Support my independent journalism: 
🙏 Patreon: ⁠https://www.patreon.com/cw/taylorlorenz       ⁠ 
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The Brooklyn band Geese has sparked a massive "industry plant" controversy in 2026 after their album Getting Killed and a sold-out tour led to accusations of being a digital "psyop".
 
While the music has received mainstream praise, fans became suspicious of how the band took over social media feeds almost overnight. This skepticism intensified after an interview at SXSW with Chaotic Good Projects, a marketing agency that uses armies of bots and TikTok accounts to force songs into virality.
Kristin Robinson is a journalist at Billboard who broke the story about Geese and Chaotic Good Projects. She joins me to discuss how meme pages are used by the music industry, how record labels manipulate online conversations and flood comment sections with positive messages, and how agencies can sway public perception of performances on SNL or Tiny Desk. 
As AI-generated music begins to top the iTunes charts, the line between authentic talent and engineered "slop" continues to blur. We discuss the truth behind the Geese situation, the evolution of viral marketing, and how the music industry is changing in the age of automation.
We discuss:
How viral music campaigns actually work
Why “industry plant” accusations keep happening
How platforms like TikTok shape what you hear
Whether AI artists could be the next big thing