If a country is not an AI producer, it will be an AI consumer. Can developing countries consume AI in a way that actually matters? Consider a country whose economy is guided by AI: a robocracy.
Robocracy is defined by what we might call the mediation share: the fraction of economically relevant cognition that is routed through AI. A country where that share is near 0 is pre-robocratic. A country where it approaches 1 has reached robocracy.
A robocratic economy may still contain nurses, mechanics, and managers; it may still depend on human knowledge and judgement. What changes is the layer that tells these actors what is likely to happen and where to direct their attention.
In this sense, robocracy is closer to a post-planning economy than a post-labor economy. The physical world remains stubborn, but human beings increasingly act on AI-generated routes, recommendations, and assessments.
Mediation rises when AI beats the next-best source of cognition. In poorer economies, that alternative may be nothing at all.
Robocracies will fall into a few different categories. Not all mediation is created equal - cognitive control of taxation, education, and regulation is probably more valuable than of consumer advertising!
When private platforms dominate public, we get market robocracy: fast diffusion, but high risk of rent extraction. If public dominates private, we get state robocracy: universal provision and public leverage, but risks of surveillance and politicized automation. The better target is mixed robocracy: public control over the cognitive backbone, private competition around it.
Practically speaking, when we think about development, we might also consider the paired issues of import dependency, the degree to which foreign platforms manage mediation, and domestic reinvestment, the share of AI-generated surplus captured at home and converted into future capability. Will a robocracy remain sovereign if it imports intelligence? And if the gains from intelligence accrue to the foreign vendors, is it worth it?
With these criteria we can extend the model to four possible outcomes.
Robocratic Scenarios
Outcome #1: No Deliberate Transition
Here mediation remains low. The country neither produces frontier AI nor reorganizes itself around imported AI. The ordinary institutions of development still operate with scarce cognition. Maybe some citizens or businesses use AI privately, and grow, so mediation rises slowly over time. There are no risks, but few gains.
Outcome #2: Thin Robocracy
Here AI is visible everywhere but changes little underneath. Ministries have chatbots, students have tutoring apps, and managers have better slide decks. But it’s mostly for show; society rolls along unchanged with a varnish of intelligence on top. In this world, mediation(deployed) rises faster than mediation(effective). The country has bought an AI interface, not an AI-mediated economy.
Outcome #3: Platform Colonialism
Here mediation is real, but control sits elsewhere. Credit scoring, education, health triage, and public administration run through foreign models, platforms, and data standards. The country receives better answers, but less agency. Rents accumulate outside the domestic system. Measured by mediation, the country looks modern. Measured by autonomy, it has outsourced part of its cognitive nervous system.
Outcome #4: The Robocratic Developmental State
This is the desirable path. The country imports AI where useful, but each deployment builds domestic capability. Strategic workflows remain contestable and partly public, while private firms compete to build useful applications around them.
Easy to imagine how a majority of country level outcomes for a post-AI world might not take the ideal path. The U.S.A., anxious about employment and controlling the means of production anyways, chooses not to deliberately transition. Saudi Arabia opts for thin robocracy whereby splashy chatbots tell tourists where to eat dinner, but little changes materially. South Korea, technologically progressive but incapable of making its own world class models, ends up in a state of platform colonialism - real gains are had, but on terms set by OpenAI.
Robocratic Development
So how can India or Nigeria achieve the golden path towards the robocratic developmental state? A forward-looking state might ask: how can we unbundle cognition on our own terms? The answer is robocratic liberalization.
Many markets for cognition are already state-made. Lawyers and accountants sell cognition organized around public forms like contracts and tax returns. Robocratic liberalization means revising this bundle: instead of protecting the human intermediary, the state can open the cognitive task itself to competition between human professionals, AI systems, and hybrids of both.
Cognitive bottlenecks become competitive markets. A tax filing that once required an accountant becomes a structured workflow where AI handles routine classification and a human reviews edge cases. A nurse with a top diagnostic model is now just as good as a doctor. Crucially, this cannot happen without changing regulations and defining standards!
A cognitive task becomes marketable only when the state defines the object of exchange: the context, the fields, the format. The state’s job is to turn opaque professional judgment into standardized, auditable tasks that many providers can perform.
For a small firm seeking credit, an AI standard loan packet might have verified account statements, tax records, and a human sign-off. Lenders could then compete on the loan while preparers compete on the packet, and the borrower could carry the same auditable file across banks rather than being trapped inside one platform.
The bundling of cognitive tasks and legal responsibility made sense in a world of scarce intelligence. In a world of abundant intelligence, unbundling is one of the easiest levers for states to pull in order to take advantage.
The future developmental state may not own the machines that think, but it must govern the terms on which thinking becomes usable in the economy. Through robocratic liberalization states can make a competitive market for intelligence without making dependency permanent.