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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Zero Sum Game: The Rise of the Employee-Less $100M Enterprise by 2027

Authors: Sakata, Fabio;

Zero Sum Game: The Rise of the Employee-Less $100M Enterprise by 2027

Abstract

Zero Sum Game: The Rise of the Employee-Less $100M Enterprise by 2027 In the dusty industrial parks of Palo Alto, a revolution is brewing. It doesn't announce itself with protest signs or manifestos. Instead, it whispers through server farms and emerges in lines of code that silently reshape our understanding of what constitutes a "company." By 2027, we'll likely witness something unprecedented in modern capitalism: a $100 million Annual Recurring Revenue (ARR) company with precisely zero employees. Not a minimal staff. Not a lean team. Literally zero humans on payroll, with all operations managed by AI agent networks orchestrated by a single founder. This isn't science fiction—it's the logical conclusion of trends already transforming our economic landscape. To understand why, we must first reconsider what knowledge work has meant across different epochs, and how our relationship with productive labor itself is undergoing its most dramatic transformation since the Industrial Revolution.

Keywords

knowledge economy, zero-employee company, future of work, AI agents, automation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average