The Long Industrial Revolution is a periodization concept used by Henry Farrell and Cosma Rohilla Shalizi, and in adjacent work by Alison Gopnik and James Evans, to situate AI in historical context. It holds that the Industrial Revolution is best understood not as a discrete event bounded to roughly 1760–1840 — steam, factories, textiles — but as a centuries-long, still-unfinished transformation of human capacities to organize economic, social, and political life.
On this view, the decisive innovations of modernity are not only machines but social technologies: systematic means of reorganizing relationships among human beings. Bureaucracies, markets, print capitalism, the price mechanism, opinion surveys, and democracy itself are all entries in this lineage, each a way of processing information about a complex society by reducing it to tractable abstractions (see AI as Social Technology). The "Long Industrial Revolution" names the whole arc.
Argumentative role in the Farrell-Shalizi account
The concept does specific work in the Farrell-Shalizi account (AI as Social Technology, Knight Columbia, May 2026). It places AI on a continuum rather than at a rupture: if large language models are the latest social technology in a long lineage, Farrell and Shalizi argue the right comparison class is bureaucracy and the market rather than a nascent autonomous mind. They present this as opposing the AGI, superintelligence, and singularity framings, which treat AI as a discontinuity with history. Farrell and Shalizi argue those framings are "not weird enough" in that they miss that AI, like its predecessors, will reorganize social relations rather than simply replace human cognition.
The framing also implies continuity in the kind of problem AI creates. Farrell and Shalizi hold that every prior social technology in the lineage produced lossy coarse-grainings — abstractions that discard information and become embroiled in power relations, creating winners and losers — and that AI will do the same, with different attentional trade-offs but trade-offs nonetheless.
On policy, the framing recasts the governance question. If AI is a continuation of the long transformation of collective organization, Farrell and Shalizi argue governance should ask how AI coarse-grainings interact with existing institutions — reinforcing, reshaping, or replacing markets, bureaucracies, and democratic processes — rather than treating AI as an external shock to otherwise stable institutions.
Relation to adjacent concepts
The Long Industrial Revolution is the historical-periodization layer of the Farrell-Shalizi framework, while AI as Social Technology is its analytical core. AI as Cultural Technology (Farrell, Gopnik, Evans, and Shalizi, 2025) is a companion that emphasizes the transmission of knowledge over the reorganization of relationships. The concept connects to Intelligence Replaces Hierarchy as the specific case of AI meeting the bureaucratic social technologies that preceded it.
Relationships
- depends-on: AI as Social Technology (the framework this concept anchors)
- contradicts: Artificial General Intelligence (AGI), Transformative AI (TAI) framings of AI as a historical discontinuity
- related: AI as Cultural Technology, Intelligence Replaces Hierarchy, AI Political Economy, Henry Farrell, Cosma Rohilla Shalizi
- supported-by: AI as Social Technology (Farrell + Shalizi, Knight Columbia, May 11 2026)
Sources
- AI as Social Technology (Farrell + Shalizi, Knight Columbia, May 11 2026) — Farrell & Shalizi, AI as Social Technology, Knight Columbia, May 11 2026 (canonical anchor).