Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy
Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society’s understanding of expertise. In this research, we study the vision for the future of expertise described in the public communication of five industry data annotation organizations and their CEOs, as reflected on social media feeds and public appearances on podcasts. We find that the industry envisions AI expertise as cheap, meaning that it can offer a bett…
The same vision treats human professional expertise as an extractable resource whose value is judged relative to AI, with potential to transform and revalue expert careers.
Findings are based only on public-facing communication of five firms and their CEOs, not on internal practices, worker experiences, or measured labor market outcomes.
Evidence
- Peer-reviewedProceedings of the 5th Annual Symposium on Human-Computer Interaction for Work2026-06-19
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Truvace Impact Record TRV-2026-0142, v1: “Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy.” Truvace, 2026-07-13. /record/TRV-2026-0142 (accessed at citation time). sha256 6124a87cb340f17e…
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