The irony of the documents' authorship should be stated plainly. Max Abecassis is the inventor of seven pending U.S. patent applications for domain-agnostic AI systems that apply first principles analysis to optimise performance across any field of human activity: athletic competition, organisational management, special operations, human development, and beyond. These systems are designed to derive from universal principles what characteristics enable superior performance, match tactical sequences to agent capabilities, and operate identically across fundamentally different domains. They are, by design, systems that replace human expertise and judgement with AI that reasons from first principles without domain-specific human knowledge.

The inventor of systems designed to make human expertise structurally redundant across unlimited domains is, by that fact, exceptionally positioned to foresee the consequences of such technology for human labour.

His professional career, including 51 U.S. patents, successful technology licensing, and the founding of CustomPlay LLC, demonstrated the practical application of anticipatory analysis across decades of technological change.

Trained as an economist at Harvard (1973), Abecassis understands the economically destructive consequences of broad labour displacement and the unsuitability of existing structures and policies to prevent societal collapse.

His 1970 philosophical work "Beyond the Romantic Animal" identified the trajectory of technological dehumanisation more than fifty years before the current crisis made it measurable.

This document was produced in collaboration with Anthropic's Claude, an AI system whose capabilities illustrate the very thesis the document advances. Claude contributed structural analysis, identified internal inconsistencies, challenged the author's assumptions when its reasoning warranted disagreement, produced and revised prose across multiple iterations, and maintained analytical coherence across a complex multi-chapter argument developed over an extended collaborative process. The quality of that contribution is itself evidence for the displacement analysis: the cognitive tasks this collaboration required, including research synthesis, logical auditing, editorial judgement, strategic communication analysis, and the production of polished prose calibrated to a specific audience, are tasks for which organisations currently employ teams of analysts, editors, and policy writers. One author and one AI system produced what would have required months of institutional effort. The reader may draw their own conclusions about what this implies for the workforce that currently performs such work.

The author welcomes: Inquiries from those who may desire to collaborate on this project; perspectives and contributions from those with additional insights and expertise; and constructive questions, criticism, and requests.

Please email max@isolatedsocieties.org and include "SSIS" in the subject line.