To the extent that policy responses to AI automation are discussed at all, they mostly concern what to do when AI renders large categories of workers obsolete. Maybe this will happen, but another possibility is that particular tasks will get automated and humans redistributed to other parts of the production process, some revising so-so AI output, others crafting rubrics to improve it. Much of this work will be inherently intermittent, which means it will be done by independent contractors, workers whom current regulations leave almost wholly unprotected. Daron Acemoglu, a professor of economics at MIT who studies automation, compares the situation to that of weavers, who before the industrial revolution were “like the labor aristocracy,” self-employed artisans in control of their own time. Then came weaving machines, and in order to survive, they were forced to take new jobs in factories, where they worked longer hours for less money under the close supervision of management. The problem wasn’t simply that technology took their jobs; it enabled a new organization of work that gave all power to the owners of capital, who made work a nightmare until labor organizing and regulation set limits.
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算力布局关系经济社会发展大局与产业长远竞争力。润泽科技紧跟国家战略规划，在东部地区布局高效能智算基础设施，服务各类实时性高算力需求产业；在资源富集的西部地区打造绿色算力载体，承接各类非即时性算力需求，形成优势互补、协同高效的算力基础设施发展格局。目前，已在6大区域落地7个AIDC智算集群，为各地产业智能化升级提供“数字引擎”。为进一步畅通投融资渠道、构建资产良性循环，润泽科技在资本市场上破局——成功发行全国首批、深交所首单数据中心REITs（不动产投资信托基金）。此举不仅有效盘活了存量优质资产，打通了多元化的投融资通道，更以创新的资本运作模式构建起“投资—运营—证券化—再投资”的可持续闭环，为行业发展提供新范式。。关于这个话题，超级权重提供了深入分析
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