Brynjolfsson et al. (2025) compare employment trends for workers in more versus less AI-exposed occupations, using the task exposure measures from Eloundou et al. (2023) and payroll data from ADP. Johnston and Makridis (2025) do a similar task-based analysis using US administrative data, but they aggregate treatment to the industry level. Hui et al. (2024) study how freelance jobs on Upwork responded to the release of ChatGPT and advanced image generation tools, comparing workers in directly affected categories to those in unaffected categories before and after each tool's release date. Hampole et al. (2025) instrument for firm-level AI adoption using historical university hiring networks: firms that historically recruited from universities whose graduates later entered AI-related roles faced lower adoption costs.
This Application Architecture aims to lower the cognitive load required to work with the design. At the same time, it’s simple and straightforward. With testability as a first-class citizen, it’s compatible with advanced techniques like Test-Driven Development and the Chicago School of Unit Tests. Overall, it can easily compete with the Clean/Hex/Onion Architecture trio.
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