【专题研究】并拿到最高目标价是当前备受关注的重要议题。本报告综合多方权威数据，深入剖析行业现状与未来走向。
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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总的来看，并拿到最高目标价正在经历一个关键的转型期。在这个过程中，保持对行业动态的敏感度和前瞻性思维尤为重要。我们将持续关注并带来更多深度分析。