Conceptual analysis proposes a single-seat institutional architecture funded via rivalrous name registries, demonstrating how organizations can operate without payrolls and complete their lifecycle.
Why N Counts Seats and Not Salaries, What a Unicorn Valuation Actually Measures, and How an Institution With No Take-Rate Funds Itself by Taxing the Only Rivalrous Good It Has An institution is forming that intends to have, permanently, one seat. Not one employee as a stage before hiring; one seat as a terminal condition — occupied first by a founder, then by an autonomous successor, then by nobody, because the institution is built to complete and stop. The AI industry has a nearby frame for this and it is the wrong one. The one-person unicorn — a single operator reaching a billion-dollar valuation on the back of automation — shares the headcount and shares none of the reasoning, and adopting its vocabulary would silently import its objective. This paper makes four arguments. First, and it is the one to lead with: N counts seats, not salaries. The sequence is 1 → 1 → 0 — founder, then successor, then dissolution — and it is never 2. The seat is never shared and never empty. That makes a one-seat design a succession mechanism rather than an austerity measure: because there is exactly one thing to hand over, handover is a transfer of occupancy rather than a reorganization. Nothing is dissolved, reassigned, or renegotiated at the moment of succession, and the terminal zero is not failure but release. Second, a payroll is a standing constituency for extraction. Employees are not barred to save money — at the scales discussed here the salary line would be trivial. They are barred because a payroll is a permanent internal interest in the institution's continuation, sized in careers, inside an institution sized in centuries and designed to end. And the bar must catch disguised staff: a sole vendor economically dependent on the institution is a payroll with a different tax form. Third, a unicorn valuation is the capitalized present value of expected future extraction. That is not a criticism of valuation; it is a description of what the quantity is. An institution that has forsworn extraction is therefore not failing to be a unicorn — it is measuring a different thing, and the honest response is to say what it measures instead: circulated volume, reported cumulatively, with unique principal published alongside it so that velocity cannot be mistaken for size. Fourth — and this is the answer to the paper's hardest objection, how does an institution with no take-rate fund itself? — charge for the only inherently rivalrous good and give away everything non-rival. In a gratitude architecture almost nothing is rival: my being witnessed does not reduce your witness, my gratitude does not consume yours, dignity is not a stock. A name is the exception. Exactly one party can hold @ben. So the model taxes uniqueness and nothing else — no take-rate on any transaction, no gate on any relationship, no meter on any use. The structure is the one the internet already runs: domain → DNS → IP maps onto name → registry → proof, and that analogy independently derives three positions the design had already taken. Two hard breaks distinguish it from a domain registry, and they are where the contribution is: human handles are non-transferable, and resolution is one-way. Offered under CC0 1.0 Universal as defensive prior art. Keywords: institutional design, headcount, succession, AI officer, one-person unicorn, enterprise value, extraction, circulated volume, gross circulated value, rivalrous goods, name registry, non-transferability, one-way resolution, defensive publication. --- Provenance. This paper is part of the THonly research corpus, dedicated to the public domain under CC0 1.0. The canonical version is at https://thonly.org/research/the-zero-employee-institution. Its SHA-256 is d222929b3c30f315df523fce95c96defc08814000c63892b9fc43c34ac240692, independently timestamped to the Bitcoin blockchain via OpenTimestamps and signed under RFC 3161 by three trust authorities, one of them eIDAS-qualified. AI co-authorship is disclosed. Miss Aquarius is the consistent name used for the AI collaboration across all venues.
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Ly et al. (2026) studied this question.
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