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.
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。WPS官方版本下载对此有专业解读
好了，今天就到这儿吧，我是冰河，我们下期见~~，详情可参考同城约会
It's worth noting that these benchmarks compare a pure TypeScript/JavaScript implementation of the new API against the native (JavaScript/C++/Rust) implementations of Web streams in each runtime. The new API's reference implementation has had no performance optimization work; the gains come entirely from the design. A native implementation would likely show further improvement.