Stop shaming people for using AI. Start organizing to prevent our obsolescence | Garrison Lovely

The industry is engaged in a perverse quest to replace humans. We cannot cede the best tools available to the other side I don’t need to tell you that people hate AI. The list of grievances is long: slop, cheating, bias, enfeeblement, electricity bills, environmental destruction, exploitation, theft, cybercrime, doom. But resistance to the technology has often taken the form of shaming people for personally using it, with precious little organizing against the companies building the machines. This is perplexing, given that those companies are attempting to render us obsolete. The executives may contest this framing, offering some bromides about how AI will augment human work or how we’ll simply find new jobs to do. But their clear goals are to create systems that so clearly surpass our abilities that we will have little hope of competing. Continue reading...

AI replacing humans is the main concern.

This is an opinion essay asserting industry intent to replace human labor, without empirical data, studies, or specific company statements cited in the excerpt. The claim about obsolescence is a strong interpretive framing rather than documented evidence, warranting a concerning but not extreme score with low-moderate confidence.

The article claims that the AI industry's explicit goal is to replace humans, leading to widespread obsolescence. This represents a significant negative implication for human flourishing. While presented as a strong assertion, the evidence provided is primarily interpretative rather than empirical data.

The article argues that AI is being developed to replace humans. It criticizes the lack of organizing against AI companies. It acknowledges that AI could augment human work, but this is not the main focus.

SOURCE     The Guardian: Artificial Intelligence (tier 1)
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DOCUMENT   8516fde2-8602-4afe-ba1a-c1a2fbf3b509
           https://theguardian.com/commentisfree/2026/sep/29/ai-replace-humans
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EVIDENCE   2 extracted excerpts
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MODEL RUN  4 runs, methodology 1.0.1
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SCORE      -76  (Strongly adverse)
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CONFIDENCE 71%