Podcast Episode: The Copyright Reckoning: How AI Rewrites Everything — Including the Law

Pip: The Hedge has been calling things early since 2008, and timothymccandless is keeping that tradition alive with a look at what happens when the legal system meets a technology it genuinely wasn't built for.

Mara: This episode is about copyright law under pressure from AI — the cases in court, the doctrine that's breaking, and the four scenarios for how it might resolve. Let's start with the reckoning itself.

The Copyright Reckoning: How AI Rewrites Everything — Including the Law

Pip: The central tension here is structural, not procedural. Copyright law was built on two assumptions — that expression is scarce and that copying is detectable — and AI has quietly demolished both without anyone agreeing on what replaces them.

Mara: The post frames the active litigation — the NYT suit against OpenAI, the Authors Guild actions, Getty Images versus Stability AI — and lands on this: "Fair use was designed for humans doing creative work. An AI processing 100 billion tokens of human writing to produce commercial output doesn't fit that mold — and courts know it."

Pip: Which means the doctrine isn't just strained — it's pointed at the wrong subject entirely. Fair use assumed a person with expressive intent on the other end. That assumption is gone, and courts now have to either stretch the framework until it's unrecognizable or admit it simply doesn't apply.

Mara: The market-harm prong is where it gets most concrete. The four-factor fair use test has always weighted market harm heavily, so if AI output replaces demand for the original work, the transformative-use defense takes serious damage regardless of how technically different the output is.

Pip: And then there's what the post calls the rewrite problem — which is the sharper edge. If AI can take any copyrighted work and produce a cleaner, updated version of the same ideas, copyright only ever protected the specific expression anyway. AI just industrializes the paraphrase at a scale that makes that distinction feel hollow.

Mara: Four resolution scenarios are on the table. Licensing regimes modeled on ASCAP and BMI are called the most likely near-term outcome. Output rights carved out separately from training rights come next. Congressional action is flagged as least likely given how slowly IP law moves. And fair use expanding until enforcement atrophies is described as unlikely but not impossible.

Pip: The honest bottom line, as the post puts it, is that copyright was a bargain — temporary monopoly rights in exchange for eventual public domain contribution. AI broke that bargain in both directions.

Mara: Creators will get something. AI companies will pay something. Neither amount will feel adequate. That's the pattern, and the post doesn't pretend otherwise.


Pip: The legal system will patch something together — it just won't be intellectually coherent. That's a fair description of most major technological transitions and their aftermath.

Mara: The pressure is real and it's building. Worth watching which of those four scenarios starts hardening into precedent first.

The Copyright Reckoning: How AI Rewrites Everything — Including the Law

The Hedge · May 20, 2026 · Brutal Honesty Over Hype Since 2008

Copyright law was built on two assumptions: that expression is scarce, and that copying is detectable. AI has demolished both — and the legal system has no clean answer for what comes next.

A model can now ingest a novel, internalize its structure, voice, and ideas, then produce something functionally equivalent without reproducing a single protected sentence. That’s not a loophole. That’s a structural failure in the entire framework.

The cases on the docket

The litigation now working through the system — the NYT’s suit against OpenAI, the Authors Guild actions, Getty Images versus Stability AI — isn’t really about copying in the old sense. The central questions are whether training on copyrighted work constitutes infringement, and whether AI output competes with the original in the marketplace.

That second prong is where fair use gets complicated fast. The four-factor test has always weighted “market harm” heavily. If AI output replaces demand for the original, the “transformative use” defense takes serious damage — no matter how technically different the output is.

“Fair use was designed for humans doing creative work. An AI processing 100 billion tokens of human writing to produce commercial output doesn’t fit that mold — and courts know it.”

Where the doctrine breaks down

Fair use was designed for humans with expressive intent: a critic quoting a passage, a scholar analyzing a text, a parody riffing on an original. The doctrine assumes a person on the other end. That assumption is gone.

Courts will have to either stretch the doctrine until it’s unrecognizable, or acknowledge it simply doesn’t apply the same way. Neither path is clean.

The rewrite problem

Here’s the sharper issue: if AI can take any copyrighted work and produce a “better” version — cleaner prose, updated facts, same ideas — what exactly does copyright protect anymore?

Under current law: expression, not ideas. You can’t copyright a plot structure, a chord progression concept, or a journalistic angle. You can only copyright the specific words, notes, or images. A perfect paraphrase has always been legal. AI just industrializes it at a scale that makes the distinction feel hollow — because it is hollow, at that scale.

How this likely resolves

Four scenarios are on the table:

  1. Licensing regimes emerge. Like ASCAP/BMI for music — a collective licensing system for training data. Publishers get a cut, AI companies get legal cover. Messy but workable. Probably the most likely near-term outcome.
  2. Output rights get carved out. Courts hold that training is fair use, but AI output that directly substitutes for source material is not. Creates a two-tier system that will be a nightmare to enforce.
  3. Congress acts. Probably the least likely near-term outcome given how slowly IP law moves. But pressure is building, and there’s bipartisan motivation when the targets are both large tech companies and foreign competitors.
  4. Fair use expands and copyright atrophies. Courts decide transformation is so complete that most AI use qualifies, effectively gutting enforcement for a generation. Unlikely — but not impossible if lobbying balance tips hard enough.

The honest bottom line

Copyright was a bargain: society grants temporary monopoly rights to creators in exchange for eventual public domain contribution. AI breaks that bargain in both directions.

It learned from centuries of creative work without compensating anyone. It now produces work that may never need to enter the creative ecosystem at all. The legal system will patch something together — but it won’t be intellectually coherent. It’ll be whatever compromise the most powerful parties can negotiate.

The writers, photographers, and musicians are going to get something — probably not enough. The AI companies are going to pay something — probably not enough. That’s how these things usually resolve.

The people who built the internet learned this the hard way. Creators are learning it now.


The Hedge has covered financial and legal disruption since 2008. Brutal honesty over hype — always.