Taylor Lorenz’s Power User

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Is AI really a massive bubble waiting to burst, or are we underestimating how durable the AI boom actually is?
For this months Power User bonus episode, Journalist Garrison Lovely, author of the new book Obsolete: The AI Industry’s Trillion-Dollar Race to Replace Us, (out this week!!) joins me to break down the case for and against the AI bubble.
We dig into the staggering amount of money flowing into artificial intelligence, Nvidia’s central role in the AI economy, OpenAI and Anthropic’s business models, the economics of running large language models, massive data center spending, Chinese open-weight models like DeepSeek and Kimi, and whether AI companies can ever justify their enormous valuations.
Garrison argues that believing the entire industry will eventually collapse can be a comforting story, but it risks distracting us from the very real effects AI is already having on jobs, wealth, surveillance, privacy, war, and power.

For decades, the entire internet was built on one simple assumption: the person on the other end of the screen is actually human. That assumption is officially dead.
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AI agents are getting good enough to post, argue, browse the web, work, transact, and impersonate humans online. So what happens when the internet can no longer reliably tell the difference between a person and a bot?
In this episode of Free Speech Friday, I talk with researcher Renee DiResta about the rise of autonomous AI agents, proof of personhood, digital identity, online anonymity, and the growing challenge of figuring out who (or what!!)  we're interacting with online.
Renee explains how an AI agent ended up inside one of her group chats, why modern AI systems are increasingly capable of getting around tools like CAPTCHA, and how autonomous agents can behave in unexpected ways. We also discuss examples of agents creating fake identities, manipulating online conversations, and even retaliating against humans.
We discuss the question of, should people have to prove they're human online? We break down potential approaches including government digital IDs, biometrics, hardware credentials, community verification, zero-knowledge proofs, and privacy-preserving proof-of-humanity systems. We also discuss the risks these technologies pose to privacy and anonymity — and why a system designed to stop AI bots could easily become a system for identifying and tracking real people.
As AI agents become more common across social media, group chats, workplaces, financial systems, and the broader web, the basic assumption that every account represents a human is starting to fall apart.
Can we build an internet where humans and AI agents can coexist without destroying anonymity and privacy forever?

What happens when Silicon Valley tries to optimize everything, from AI and politics to dating, reproduction, friendship and even human behavior?
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Every year, hundreds of technologists, rationalists, AI researchers, startup founders and prediction market obsessives gather in Berkeley for Manifest. Officially, it’s a conference about prediction markets. But the ideas circulating there offer a fascinating window into a much bigger worldview that is becoming increasingly influential across Silicon Valley and the AI industry.
In this episode of Power User, freelance journalist Alex Bronzini-Vender joins me to explain what he saw inside Manifest and the strange world of Silicon Valley rationalism. We discuss prediction markets, AI existential risk, effective altruism, embryo selection, radical transparency, dating experiments, Manifold, Polymarket, Eliezer Yudkowsky, the paperclip maximizer and why some attendees see markets as a tool for optimizing nearly every aspect of life.
We also get into the growing political and cultural influence of the rationalist movement, why Manifest has been compared to Davos, and what happens when ideas that once existed on obscure blogs and internet forums begin moving into the mainstream of technology and politics

The New Global Plan To Control What You Post
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A new United Nations cybercrime treaty is being sold as a way for governments to fight hacking, phishing, and online fraud. But its sweeping language could also help countries identify anonymous users, obtain data from technology companies, and punish political speech across national borders.
In this episode of Free Speech Friday, I speak with Sarah McLaughlin, senior scholar of global expression at the Foundation for Individual Rights and Expression, about the UN Convention against Cybercrime and the growing number of governments hiding censorship powers inside cybercrime legislation.
We discuss how online satire, criticism of government officials, adult content, AI-generated images, and so-called misinformation could be treated as serious crimes carrying years in prison. We also examine new and proposed cybercrime laws in Malaysia, Namibia, China, South Sudan, and more, and how authoritarian governments could use international data-sharing systems to pursue political critics.
 
Cybercrime is real. But when governments define ordinary online speech as "cybercrime," laws created to catch hackers will become tools for censorship, surveillance, and the destruction of online anonymity.

Why does everyone suddenly think AI could kill humanity?SUPPORT MY WORK: 
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In this episode of Power User, I'm joined by tech journalist Natasha Tiku to investigate the viral claim that AI has a 10% chance of causing human extinction. From the halls of Anthropic and OpenAI to the corridors of Washington, D.C., we uncover how the insular, billionaire-funded Effective Altruism (EA) movement transformed sci-fi doomsday theories into mainstream media panic and undemocratic policy proposals.
  
We break down the math behind the so-called "10% extinction risk," expose how dark money and ideological fellowships shaped mainstream AI coverage, and discuss why big tech labs actively benefit when lawmakers regulate frontier models out of fear rather than tackling immediate, real-world harms like wage discrimination, data privacy violations, and corporate consolidation.