Qualitative study reveals distinct occupational repertoires regarding AI workplace integration in online discussions, indicating public views extend beyond simple optimism or pessimism.
Public discussion of artificial intelligence and employment is often reduced to a binary between technological optimism and pessimism. This qualitative study examines 3275 substantive comments from 22 purposively selected English-language Reddit threads, spanning 18 subreddits and thirteen occupational or institutional domains, collected in early April 2026. Drawing on interpretive-repertoire analysis and using sociotechnical imaginaries as a sensitizing framework, the study identifies nine recurring vocabularies through which participants construct relations between AI and human labor: replacement; displacement and stratification; augmentation and complementarity, including augmentation-as-intensification; surveillance and subordination; algorithmic gatekeeping; selective immunity and embodied resistance; adaptation mandate; institutional redesign; and replacement reversal. The sampled discussions suggest occupationally patterned differences in the salience of these repertoires. Creative work discussions frequently foregrounded replacement and stratification, service-work discussions emphasized intensification and control, skilled-trades discussions mobilized embodied immunity, and legal discussions foregrounded institutional redesign. The findings show that vernacular discussion differentiates among multiple locations, mechanisms, and beneficiaries of AI-related change that cannot be captured adequately through a simple optimism–pessimism distinction.
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Iordache et al. (2026) studied this question.
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