AI Summary
5 min readWhy AI Ends The Internet
"The timeline is it possible we could have an economy of AI agents 2026, 2027. That's actually my version of existential risk. If we release that really quickly without any infrastructure in place, we just crash the economy."
This is not a prediction about superintelligent machines rebelling against humanity. It is a prediction about software agents—billions of them—buying, selling, negotiating, and contracting on the internet without the legal scaffolding that makes markets work. Professor Jillian Hadfield, a distinguished scholar of AI alignment and governance at Johns Hopkins, argues that the technology industry is racing toward what she calls an "economy of agents" while governments and economists are still thinking about regulation in 20th-century terms.
The Agentic Economy
The core shift is simple to describe but profound in its implications. Today, when you shop online, you are the one comparing prices, reading reviews, and making the final purchase decision. Even if you use an AI chatbot to discover products, you remain the shopper and transactor. In an agentic economy, you tell a piece of software "go find me this kind of shoe" and it does everything in the background—searching, comparing, negotiating, arranging delivery, even signing agreements—without your ongoing attention.
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What you'll learn
- 1 (00:00) **Introduction: The End of the Internet as We Know It** - Sinead Bovell introduces the central thesis: AI systems, not humans, are becoming the primary users and producers on the internet, leading to an "economy of agents."
- 2 (02:20) **Defining the "Economy of Agents"** - Hadfield clarifies that this is a potential future, contingent on both societal choice and technical capability, and paints a picture of how it would work.
- 3 (06:57) **Price, Markets, and AI Decision-Making** - The discussion explores how fundamental economic concepts like price will function in an agentic economy.
- 4 (14:58) **The Critical Problem: Identity, Liability, and Legal Infrastructure** - The conversation shifts to the major governance gap: AI agents currently have no legal identity, creating massive liability issues.
- 5 (23:00) **The "Make Me a Million Dollars" Test Case** - Hadfield uses Mustafa Suleyman's "modern Turing test" to illustrate the profound challenges of agentic liability.
- 6 (28:08) **Legal Personhood for AI Agents?** - Hadfield predicts that we will eventually need to grant AI agents a form of legal personhood, similar to corporations, to manage liability in a complex agentic economy.
- 7 (33:30) **The Alignment Problem as an Incomplete Contract** - Hadfield frames the core technical challenge of AI alignment as an "incomplete contracting" problem, familiar from economics and law.
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Show Notes
Are we looking at the beginning of the end of the internet as we know it?
In this episode of I’ve Got Questions, I sit down with Professor Gillian Hadfield, a leading scholar in AI alignment, governance, law, and economics, to explore one of the biggest shifts on the near horizon: the rise of an “economy of agents.”
Right now, humans are still at the center of the digital economy. We search, shop, compare, negotiate, decide, and transact. But tech companies and investors are pouring billions into a future where autonomous AI agents may begin doing most of those things on our behalf, becoming the primary actors across markets, platforms, and digital life.
Professor Hadfield explains why our existing systems of governance, from courts to legislatures, are not built for a world where AI is the primary operator in the economy, why the rise of agent-run businesses could challenge the very idea of the firm, and why she believes the real existential risk is an economic crash.
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