Affiliation: Author, journalist, activist; publishes Pluralistic (blog/newsletter); EFF special advisor; author of The Internet Con (2023) and many novels One-line position: AI is an enshittification accelerator — it makes the already-broken pattern of platform capture worse, faster — and the solution is not AI governance in isolation but restoring interoperability, competition, and user power across the whole tech stack.
What he's reacting against
- AI discourse that treats AI as a standalone phenomenon — argues AI must be understood within the political economy of platform power
- Tech optimism that ignores platform dynamics — AI deployed by monopoly platforms will serve platform interests, not users
- AI safety discourse that ignores current harms — the risk isn't just future AGI, it's present-day extraction
- IP maximalism that locks users into platforms — advocates for interoperability, right to repair, and adversarial interoperability as structural remedies
Key claims
- "Enshittification" (coined 2023): platforms follow a lifecycle — attract users → attract business customers → extract maximum value from both → the platform becomes worse for everyone; AI accelerates each stage
- AI as enshittification accelerator: LLMs enable cheaper content production, cheaper customer service, cheaper moderation — all of which lower quality while increasing extraction
- The problem is structural, not technological: AI is a tool deployed within existing power structures; fixing AI requires fixing the power structures (monopoly, IP, platform lock-in)
- Interoperability is the remedy: mandated interoperability and adversarial interoperability (the right to build compatible tools without permission) break platform lock-in
- IP law protects extractors, not creators: DMCA, terms of service, and non-compete agreements prevent users and competitors from building alternatives — AI doesn't change this; it makes it worse
- AI copyright concerns are real but secondary: the bigger problem is not AI training on copyrighted data — it's that the same companies doing the training also control the platforms where creators have no leverage
Theories aligned with
- Enshittification / platform political economy
- Interoperability and adversarial interoperability as structural remedies
- Adjacent to surveillance capitalism (Zuboff) but from a builder/activist register, focused on structural remedies rather than diagnosis
Where he overlaps / splits
- Overlaps with Zuboff on surveillance and extraction; splits on register — Zuboff diagnoses from academia, Doctorow prescribes structural remedies from an activist position
- Overlaps with Crawford on AI as a power structure; splits on prescription — Crawford maps the atlas of power, Doctorow builds the case for interoperability
- Overlaps with Khan on antitrust and competition; splits on scope — Khan uses enforcement tools, Doctorow advocates for legislative structural change
- Overlaps with Lanier on data dignity; splits on approach — Lanier wants to pay for data, Doctorow wants to break the platforms that hoard it
- Splits with Andreessen/Thiel fundamentally — they see platform power as deserved market success, Doctorow sees it as regulatory capture
Notable predictions
- (2023) "Enshittification" would become the dominant frame for tech criticism — outcome: strongly supported; the word entered mainstream use, was named 2023 word of the year by multiple sources
- (2023) AI deployment by monopoly platforms would accelerate extraction — outcome: supported by customer-service AI, content farm AI, and ad-targeting AI trends
- (Ongoing) Without interoperability mandates, AI will entrench platform monopolies — outcome: TBD; no major interoperability legislation has passed in the US
Track record
- "Enshittification" is the most successful new concept in tech criticism in a decade — genuine cultural impact
- The Internet Con (2023) is the most actionable book on tech platform reform — specific policy prescriptions, not just critique
- EFF advisor since early internet era — decades of credible advocacy on digital rights
- Prolific novelist (Little Brother, Walkaway, etc.) — unique blend of technical fiction and non-fiction advocacy
- Consistently ahead of the mainstream on platform-power dynamics — was writing about these issues before they became obvious
Empirical vs normative
- Empirical: case studies of platform enshittification cycles (Facebook, Twitter, Amazon, Google); analysis of how AI fits the pattern
- Normative: interoperability should be mandated; IP law should be reformed; users should have exit rights; platform monopolies should be structurally constrained
- The empirical pattern-matching is strong; the policy prescriptions are specific and actionable but politically difficult
Sources
- Blog: Pluralistic — daily writing, primary outlet
- Books: The Internet Con: How to Seize the Means of Computation (2023); many novels
- EFF: special advisor, public advocacy
- Talks: numerous conference keynotes, tech policy events
- "Enshittification" essay (2023-01): the original articulation on Wired/Pluralistic
Weak spots / open questions
- "Enshittification" is a powerful frame but may be too totalizing — not every platform follows the same trajectory, and some AI deployments genuinely improve products
- Interoperability mandates are the prescription, but implementation is enormously complex and has limited political momentum in the US
- Less technically engaged with AI capabilities — the critique is about political economy, not about what AI can or can't do
- Activist positioning means he systematically emphasizes the worst-case interpretation of corporate actions — selection bias in the evidence he highlights
- The frame is primarily about consumer platforms — less applicable to enterprise AI, scientific AI, or frontier research where the dynamics differ
Rich's take
- (your synthesis here)
converts-from: personas/cory-doctorow.md · schema v1 · AI & Society domain