Critical reading of an economic memo written from the future
The document published by Citrini Research presents itself as an archive dated June 2028 and reviewed since February 2026. It is neither a forecast nor a probabilistic scenario. The authors explicitly describe it as a “thought exercise in financial history, from the future” and specify: “what follows is a scenario, not a prediction”.
Source: https://www.citriniresearch.com/p/2028gic?utm_medium=email
This narrative construction is essential. The text adopts the form of a macroeconomic post-mortem describing a crisis that has already occurred in order to test the robustness of current analytical frameworks against an unprecedented shock: the abundance of artificial intelligence.
A Historical Break in the Relationship Between Productivity and Employment
The memo’s starting point is an observation presented as retrospective: the economy’s most productive asset would have, for the first time in modern history, destroyed more jobs than it created.
The initial phase is described as euphoric. Corporate AI adoption triggers rapid productivity growth, expanding margins and a stock market rally. Massive layoffs in skilled functions are not immediately interpreted as a negative signal: they are perceived as the logical translation of efficiency gains. Generated profits are not redistributed as wages. They are reinvested in computational infrastructure, which accelerates the substitution of human labor.
This dynamic triggers what the text calls a “human intelligence displacement spiral”: AI replaces jobs → labor income decreases → consumption declines → companies automate further to preserve their margins.
The Core Shock: The Contraction of the Consumer Economy
The scenario rests on a central macroeconomic assumption: in contemporary economies, approximately 70% of GDP depends on household consumption. Yet automated systems do not consume.
The text formulates this idea directly: machine spending is zero. As real wages fall, solvent demand contracts. Activity continues to appear in national accounts, however, because automated production is recorded. The authors then introduce the notion of “Ghost GDP”: real production that no longer circulates in the human economy. The crisis is therefore not primarily a supply-side crisis. It is a crisis of value circulation.
The Fragility of Credit: From SaaS to Real Estate
The memo then describes the financial channels through which this demand contraction transforms into a systemic crisis. The first breaking point concerns SaaS. The recurring revenue model relies on the workforce stability of client companies. When white-collar workers disappear, software licenses become useless. Revenue collapses.
Private equity, heavily exposed to these debt-financed assets, is hit in turn. The second channel is the real estate market. Residential real estate valuation in major metropolitan areas depends on the solvency of upper-middle classes. Their disappearance triggers rapid price declines. These two movements converge toward a credit crisis in 2027.
Agents and the End of Intermediation Rents
The text introduces a second shock, distinct from labor substitution: the widespread adoption of autonomous agents.
In a world of agents, the user interface disappears as a loyalty space. The agent constantly compares all available options and selects the least expensive one. Habits, brand, and user experience cease to be barriers. The DoorDash example is used to illustrate this transformation: the application no longer has a direct relationship with the user. It becomes an interchangeable supplier in a fully arbitrageable market. This point does not only concern technology. It challenges all models based on attention capture and information friction.
Unprecedented Wealth Concentration
In this scenario, productivity increases sharply, but gains are captured by the owners of computing infrastructure. The authors evoke a level of inequality exceeding that of the Gilded Age. The question is therefore not wealth creation, but its distribution.
The Lag in Public Responses
The text does not describe a total absence of public intervention. It emphasizes their timing. Monetary and fiscal policies arrive too late to halt the dynamic. This slowness produces a major political effect: a loss of confidence in the state comparable to that observed after the 2008 financial crisis. AI labs then become the primary designated culprits in public debate.
A Theoretical Framework Problem
The document’s conclusion does not announce an inevitable collapse. It asserts that existing analytical frameworks are ill-suited to an economy characterized by intelligence abundance. “Nobody’s framework fits.” The text also emphasizes that certain elements of the scenario will probably not occur. Its function is not predictive. It is exploratory.
Intelligence Abundance as an Economic Shock
The memo’s implicit thesis is as follows: modern economic theories were constructed in a world where human intelligence was a scarce factor. If this intelligence becomes abundant in computational form, the primary constraint shifts toward solvent demand and income circulation. The challenge is no longer the capacity to produce. It becomes humans’ capacity to participate in the economy.
Read as a research document rather than fiction, this text functions as a stress test applied to major economic equilibria. It questions the link between productivity and employment, the growth model based on consumption, digital intermediation logics, and private credit structure. It does not propose a future. It tests the robustness of the present.
Conclusion
This fictional memo written from 2028 does not describe what will happen. It stages, in retrospective form, the possible consequences of a logical chain of events: the automation of intelligence in an economy structured by human consumption.
Its value lies in the question it poses to economists, businesses, and public decision-makers: what analytical models enable us to think about an economy where intelligence is no longer a scarce factor?
