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.
Authors
- Shaoyuan Wu
Institutions
- Global Policy Institute (US)
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
- 0.00