Basic income’s appeal today is similar to its roots in 18th-century England – it’s a way to compensate people for a common good taken for private gain
Summary
The concept of basic income, often framed as a solution to potential mass job displacement by AI and automation, is gaining traction among tech billionaires like Sam Altman and Elon Musk, as well as in local government trials in cities like Stockton, California, and Atlanta. However, a scholar of British culture, literature, and politics argues that this modern framing overlooks the historical origins of basic income. Tracing its roots to early 19th-century England, the author posits that the first basic income proposals, notably by Thomas Spence, emerged as a direct response to the "enclosure of common lands." This historical parallel is drawn to contemporary AI models engaging in "expertise theft" by scraping and recombining human-generated content, suggesting that basic income is fundamentally a response to the perceived unfair appropriation of shared resources and knowledge, rather than solely an economic efficiency measure.
Key takeaway
For policy makers weighing basic income proposals, recognize that its historical context extends beyond mitigating AI-driven job losses. Your approach should consider the underlying principle of compensating for "expertise theft" and the appropriation of shared digital commons, similar to historical land enclosures. This reframing suggests that basic income is not merely a welfare measure but a potential mechanism to address a perceived fundamental injustice in the digital economy.
Key insights
Basic income's historical roots reveal it as a response to dispossession, not just automation or poverty reduction.
Principles
- Basic income addresses perceived unfair appropriation of common resources.
- Technological shifts often trigger calls for wealth redistribution.
In practice
- Examine AI's "expertise theft" as a modern enclosure.
- Consider basic income as compensation for lost communal assets.
Topics
- Basic Income
- AI Automation
- Expertise Theft
- Enclosure of the Commons
- Thomas Spence
Best for: Policy Maker, AI Ethicist, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.