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But the note cautioned against treating AI as an “immediate fiscal windfall.” Before productivity fully kicks in, governments face upfront costs that could strain budgets already burdened by post-pandemic debt. Government spending explicitly earmarked for AI remains modest—often only a fraction of a percent of GDP—but a sea of hidden costs could make the transition much more difficult for budgets to handle.
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Thomas Knoll’s Algorithm
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数字技术赋能,最终要落脚到纪检监察工作质效的提升上。建设数字纪检监察体系,必须锚定主责主业,避免“技术至上”误区,推动实现纪法效果、伦理边界与数据安全的有机统一。
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