The Main Barrier to AI Adoption in the Public Sector Is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases
arXiv:2606.01517v3 Announce Type: replace Abstract: The adoption of generative AI in the public sector has been treated predominantly as a technological problem, with the expectation that productivity gains would follow from the availability of increasingly capable models. This paper argues, drawing on two auditable cases in the Brazilian Public Service, that the determining barrier to adoption observed in these units was not technological but training-related, and describes the four-layer struc
Record details
Published: 17 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Jobs & economy · Transparency
Retrieved: 17 July 2026
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ethics.ai (17 July 2026), “The Main Barrier to AI Adoption in the Public Sector Is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases,” evidence record 10985, https://ethics.ai/record/10985 (originally published by arXiv cs.CY).
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