Open Source, Co-Ops and a History of Bias in Corporate America

Dev.to / 6/6/2026

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Key Points

The article argues that AI risks recreating corporate hierarchies in a more invisible way, replacing human managers with algorithms, dashboards, and automated decision systems.
It highlights how corporate structures in the U.S. have historically been shaped by class, race, unequal education, and unequal access to capital and leadership.
Rather than “replacing people with AI,” the author calls for using AI to remove bureaucracy, repetitive work, and unnecessary gatekeeping while protecting human dignity.
The piece presents a vision of “AI-native” product development: small, transparent teams where humans own the mission, AI agents support workflows, customers help provide feedback, and productivity gains are shared.
It emphasizes accountable, temporary functional hierarchy—offering “flat dignity and structured responsibility” instead of superficial organizational flatness that can hide power.

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