Firm size
The minimum viable firm gets smaller
AI can lower the cost of expertise, administration, coordination and production, allowing a person or tiny team to deliver outcomes that once needed a department.
HumainX / Working definition
What is the neo-cottage economy?
A framework for examining how AI could reorganize production around individuals and very small teams—and what might stop that future from arriving.
Definition
The neo-cottage economy is an emerging model in which AI makes individuals and very small teams economically viable units of production at a scale that once required larger firms.
HumainX uses neo-cottage as an economic term. It does not describe an architectural style, a nostalgic return to manual craft, or the cottagecore aesthetic. The “cottage” is a historical analogy: productive capability that was pulled into factories and corporations may become distributed again, this time through software, AI models, digital markets and networked tools.
Four core ideas
What the hypothesis actually claims
Capability
Tools become organizational capacity
A general-purpose AI system can act less like one tool and more like a bundle of functions: research, analysis, design, software, operations and customer support.
Exchange
More work moves through markets
When coordination outside a firm becomes cheaper, individuals and small producers may contract directly with customers and with one another.
Ownership
Distribution is not guaranteed
People may gain productive capability while models, compute, data, distribution and customer relationships remain concentrated in a few platforms.
The mechanism
Why AI could change the boundary of the firm
Ronald Coase argued that firms exist partly because using the market has transaction costs: finding suppliers, negotiating, coordinating, sharing information and monitoring work. AI may lower several of those costs at once.
Industrial modelCapital → firm → departments → production
Neo-cottage possibilityPerson or tiny team → AI-enabled capability → customer
This is a hypothesis, not a forecast of universal self-employment. Regulation, trust, capital requirements, physical infrastructure and customer acquisition still create powerful reasons for organizations to exist.
Evidence to watch
How we will know whether it is happening
01
Output per person
Do solo operators and micro-firms produce revenue and outcomes comparable with larger incumbent teams?
02
Firm-size distribution
Does the share of economically significant one-person and very small firms rise in AI-exposed industries?
03
Multiple income sources
Do more people earn directly from customers, products, intellectual property and short-lived collaborations?
04
Platform dependence
How much value remains with producers after model, compute, marketplace and distribution costs?
05
Transaction costs
Does AI measurably reduce the time and expense of finding, contracting with and coordinating external specialists?
06
Durability
Can these small producers survive shocks and build trust, or are they merely temporary wrappers around dominant platforms?
Two possible futures
Capability can distribute while power concentrates
Millions of capable producers
Individuals own customer relationships, portable reputations and a meaningful share of the tools they depend on. Small firms proliferate and economic production becomes more distributed.
More capable, more dependent
Individuals can produce more, but the essential models, compute, data, marketplaces and distribution channels remain concentrated. The cottage exists, but someone else owns the loom and the road.
Primary reading
Sources behind the framework
- Ronald Coase — The Nature of the Firm (1937)
- OECD — Generative AI and productivity evidence
- ILO — Generative AI and Jobs
- OECD — Generative AI and the SME Workforce
The complete argument, counterargument and research notes appear in The Neo-Cottage Revolution.
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Help test the hypothesis
We will update this definition as new evidence, objections and real-world business models emerge.