Researcher uses Anthropic's Fable 5 to develop AI-era macro-economic theory
A new model combining task-based economics and classical scarcity suggests Georgist taxes to combat AI-driven wage depression.
An independent researcher, known as Wilsoniumite, has utilized Anthropic’s 'Fable 5' (Claude) to conceptualize a new macro-economic theory and produce a formal academic paper. Developed in collaboration with a co-author from the Stockholm School of Economics, the project explores how the interplay between technology and resource scarcity dictates aggregate wages.
The resulting theory, hosted on SSRN, attempts to "pin" aggregate wages by synthesizing several distinct economic frameworks. It integrates the task-based model developed by Nobel laureate Daron Acemoglu and Pascual Restrepo with input-output recursion—referencing the work of Wassily Leontief and Piero Sraffa—and land rent theories dating back to David Ricardo’s 1817 writings. The author explicitly credited Fable 5 for assisting in the conceptualization of the theory and for writing the blog post announcing the work, stating that he simply could not have written the piece without the AI.
The Scarcity Framework
The core of the proposed model argues that wages are not arbitrary but are set by the relationship between available technology and access to physically scarce resources. By combining modern task-based analysis with classical scarcity models, the researcher suggests that the depression of wages caused by AI automation can be mitigated through specific policy shifts.
Specifically, the author advocates for a return to Georgism—an economic philosophy that proposes a single tax on land and other scarce natural resources—and the establishment of sovereign wealth funds. According to the researcher, taxing these scarce factors is the primary solution to ensuring economic stability as AI continues to displace traditional labor tasks.
Industry Implications
This development highlights a growing trend of LLMs being used to bridge the gap between independent researchers and formal academic production. By leveraging AI to synthesize complex historical theories with modern models, the project demonstrates how generative tools can accelerate the formalization of theoretical research.
However, the project has also sparked debate regarding the novelty of AI-assisted synthesis. On Hacker News, critics have argued that the theory is not a new discovery but rather a rediscovery of established classical economics from Adam Smith, David Ricardo, and Henry George, effectively "laundered" through an LLM.
What's Next
As the paper remains hosted on SSRN, the next phase for the theory will be peer review and empirical testing to determine if the model's predictions hold up against real-world data. Observers will be watching to see if the academic community accepts the AI-assisted methodology and whether the proposed Georgist solutions gain traction as a viable policy response to the automation of the workforce.