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TRV-2026-0417Certified recordPeer-reviewed

The impact of generative artificial intelligence on socioeconomic inequalities and policy making

Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information d…

Policy · The Trace — both readings · certified 2026-07-20 · v1 · article view · machine-readable

Current reading — gain

Generative AI can boost workplace productivity, create new jobs, offer personalized learning in education, and improve diagnostics and accessibility in healthcare.

Current reading — problem

Generative AI may expand misinformation, distribute workplace benefits unevenly, widen the digital divide in education, and deepen pre-existing inequalities in healthcare.

What this doesn’t fix

Existing research has critical gaps and explicit trade-offs that complicate a priori hypotheses, and current EU, US, and UK policy frameworks fail to fully confront socioeconomic challenges.

Evidence

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Truvace Impact Record TRV-2026-0417, v1: “The impact of generative artificial intelligence on socioeconomic inequalities and policy making.” Truvace, 2026-07-20. /record/TRV-2026-0417 (accessed at citation time). sha256 f14905cdceff9bce…

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