The corridor framework refines the inclusive-extractive distinction by adding a temporal and dynamic dimension. Inclusive institutions are not a stable endpoint but an ongoing achievement. They require societal capacity — unions, press, civic associations, political parties — that matches and constrains state capacity. When state capacity grows faster than societal capacity (the modern surveillance state, now AI-enabled), the corridor narrows. When societal capacity collapses (deunionization, media decline, atomization), the corridor narrows from the other side.
AI's threat to the corridor operates on multiple fronts simultaneously. State surveillance capabilities expand dramatically with AI-enabled pattern recognition, predictive policing, and behavioral modeling. Corporate behavioral modification capabilities expand through engagement optimization and personalized persuasion. Meanwhile, the organized societal forces that would constrain both — labor unions, local press, civic associations — are being further weakened by AI-driven labor market disruption and the attention economy's degradation of shared public space.
The Red Queen effect — the mutual running between state and society that keeps both capable — operates through specific institutional channels that AI is disrupting. Collective bargaining generates the information and coordination that lets workers constrain firms; AI-mediated individualized work contracts bypass it. Investigative journalism generates the accountability that constrains governments; AI-disrupted media economics threaten it. Each disruption weakens one side of the balance.
Applied concretely, the framework reframes the AI governance question. The goal is not to regulate AI per se but to preserve the corridor conditions — capable state, organized society — within which AI's benefits can be realized without its dangers dominating. This is a different policy agenda than traditional AI safety: it focuses on labor organization, press sustainability, civic infrastructure, and democratic accountability as much as on model capabilities or deployment restrictions.
The book appeared in 2019, before ChatGPT made AI's political economy urgent. The framework has been updated in Acemoglu's post-2022 writings to incorporate AI specifically, including his 2024 Economic Policy piece and various op-eds emphasizing that the corridor is narrowing under AI pressure.
Liberty is a balance, not a state. Freedom requires both capable states and organized societies — neither absent nor dominant.
The corridor is historically rare. Most societies have not entered it; most that have entered have been pushed out by the collapse of either pole.
AI threatens both sides of the balance. It strengthens state and corporate capacity while weakening the societal organization that would constrain them.
Preserving the corridor is the primary AI governance task. This is a different agenda than either laissez-faire or state-centric regulation.