Artificial intelligence, workers, and future of work skills
Sarah Bankins, Xinyu Hu, Yunyun Emily Yuan
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AChecked 1 Oct 2026. Non-commercial or no-derivatives license: full text kept internally; only metadata and abstract are indexed and used.
| Source | License | Open-access status | Read as |
|---|---|---|---|
| openalex | cc-by-nc | hybrid | Yellow |
| crossref | http://creativecommons.org/licenses/by-nc/4.0/ | — | Yellow |
| unpaywall | cc-by-nc | hybrid | Yellow |
Abstract
BHistorically, the use of technology in organizations has reshaped the nature of human work. In this article, we overview how current waves of artificially intelligent (AI) technologies are following this trend, showing how its uses can both automate and complement human labor, alongside creating new forms of human work. However, AI can also generate both upsides and downsides for workers' experiences, which are dependent upon a range of factors such as how the technology is used and the support employees receive during digital transitions. We conclude by outlining how AI literacy and other human-centered skills will play an increasingly important role in future workplaces.
Claims built on this paper
D- As AI spreads across professions, the scarce human skill shifts from operating one tool to orchestrating many: Calboreanu 2026 centers "the practitioner's ability to select, configure, and compose tools across domain boundaries," with prompt and context engineering transferring "as portable cross-tool metaskills"—echoing Bankins et al. 2024's conclusion that "AI literacy and other human-centered skills will play an increasingly important role in future workplaces." Trace →