Single-/Few-Human–AI Firms and Single-/Few-Human–AI–Robot Firms: New Archetypes under the MMC Framework

This working paper introduces two emerging firm archetypes enabled by advances in generative AI, multi-agent systems, and automation: the Single-/Few-Human–AI Firm (S/F-HAI-F) and the Single-/Few-Human–AI–Robot Firm (S/F-HAIR-F). Within a micro- and mini-scale firm (MMC) framework, the paper argues that these entities, while legally classified as firms, differ fundamentally from traditional organizations in their production functions, capital structures, and risk profiles. S/F-HAI-F is characterized by extreme labor leverage, AI-intensive cognitive production, high fixed and near-zero marginal costs, and structural dependence on digital platforms. S/F-HAIR-F extends this model by integrating robotic capital, enabling single- or few-human firms to directly engage in manufacturing, agriculture, logistics, and other physical sectors through micro-scale automated operations. The paper compares these two archetypes as distinct, path-dependent trajectories rather than stages of a single evolution. The analysis contributes to firm theory by highlighting the role of algorithmic and robotic capital under conditions of minimal human headcount, and outlines implications for public policy, including taxation, platform regulation, and workforce transformation in an economy increasingly shaped by human–AI–robot micro-firms.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-15
DOI
https://doi.org/10.5281/zenodo.18088666
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
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article

Single-/Few-Human–AI Firms and Single-/Few-Human–AI–Robot Firms: New Archetypes under the MMC Framework

Shaoyuan Wu
Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

Single-/Few-Human–AI Firms and Single-/Few-Human–AI–Robot Firms: New Archetypes under the MMC Framework

Shaoyuan Wu
article en

Abstract

This working paper introduces two emerging firm archetypes enabled by advances in generative AI, multi-agent systems, and automation: the Single-/Few-Human–AI Firm (S/F-HAI-F) and the Single-/Few-Human–AI–Robot Firm (S/F-HAIR-F). Within a micro- and mini-scale firm (MMC) framework, the paper argues that these entities, while legally classified as firms, differ fundamentally from traditional organizations in their production functions, capital structures, and risk profiles. S/F-HAI-F is characterized by extreme labor leverage, AI-intensive cognitive production, high fixed and near-zero marginal costs, and structural dependence on digital platforms. S/F-HAIR-F extends this model by integrating robotic capital, enabling single- or few-human firms to directly engage in manufacturing, agriculture, logistics, and other physical sectors through micro-scale automated operations. The paper compares these two archetypes as distinct, path-dependent trajectories rather than stages of a single evolution. The analysis contributes to firm theory by highlighting the role of algorithmic and robotic capital under conditions of minimal human headcount, and outlines implications for public policy, including taxation, platform regulation, and workforce transformation in an economy increasingly shaped by human–AI–robot micro-firms.

Zenodo (CERN European Organization for Nuclear Research)
Global Policy Institute (US)
Decent work and economic growth
Openalex Percentile: Top 22%
Digital Economy and Work Transformation
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