我们的经济未来会是什么样?
What will our economic future look like?

原始链接: https://www.anthropic.com/institute/econ-scenarios

**经济情景探索器 (v1.0)** 是一款简化的建模工具,旨在帮助用户探索变革性人工智能对经济的潜在影响。作者强调,本项目尚处于开发阶段,有意省略了政策反应、商业周期和灾难性风险等复杂变量。 该项目受益于多位知名经济学家的广泛反馈,通过纳入资本回报动态和各职业间的工资差异,完善了模型。然而,作者承认该模型仍存在显著的局限性,例如无法追踪个体劳动者的流失情况、职业增长与衰退的不确定性,以及未将基础设施建设带来的总需求效应纳入考量。 由于实际的经济结果可能与这些预测存在重大差异,因此该“探索器”应被视为一种思想实验,而非预测性预报。该项目由研究人员、开发人员、设计师和制作人员共同协作完成,他们致力于将复杂的经济建模转化为交互式的数字体验。随着研究和人工智能能力的进步,团队将持续改进该工具。

以下是上述内容的中文翻译: 所提供的内容是一系列关于 Anthropic 公司一份未来经济报告的 Hacker News 评论。讨论大多持怀疑态度,用户批评该报告含糊不清、缺乏深度且带有固有偏见。 重点包括: * **方法论担忧:** 评论者认为该报告忽略了人工智能产生负面影响的风险,且未能考虑到作者对人工智能价值的判断可能从根本上就是错误的各种情况。 * **怀疑态度:** 用户形容报告的结论模棱两可,认为其本质上等同于“我不知道”。一些人认为该论文标志着 Anthropic 的公众信息从“聚焦末日”转向乐观,将其斥为“废话”而非严谨的经济分析。 * **糟糕的用户体验:** 讨论中相当大一部分集中在报告网站拙劣的技术实现上,特别是抱怨它破坏了标准的滚动行为,导致文档无法阅读。 总体而言,社区情绪持高度批判态度,质疑该论文的学术严谨性及其发布背后的动机。
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原文

Disclaimer and thanks to reviewers
v1.0 of the Econ Scenario Explorer, September 2026

The economic scenario explorer is currently Version 1.0. Like every model, it is a stark simplification of a complex reality: it isolates a few key forces and omits many others that may become relevant and important in the coming years. For example, it leaves out policy responses, business cycles, potential aggregate demand or financial market disruptions, and possible catastrophic risks. The scenario explorer is a work in progress, and we expect it to evolve both as we invest more time and as economic research itself develops.

We are grateful to the economists who read an early draft of the technical report that lays out the framework behind the explorer, Economic Scenarios for Transformative AI, and gave us detailed comments: Daron Acemoglu, Lukas Althoff, David Autor, Tom Cunningham, Lukas Freund, Joe Hazell, Ben Jones, Pete Klenow, Danial Lashkari, Kurt Mitman, Ben Moll, Emi Nakamura, Pascual Restrepo, David Romer, Jón Steinsson, Chris Tonetti, Ludo Visschers, and David Wiczer. Their feedback was generous and candid, and it has already improved our model. Two examples: several reviewers noted that advances in AI may raise the returns to capital, so that more of the gains flow to the owners of capital; and several noted that the wages of workers in the occupations AI affects most may diverge from those in occupations it barely affects. Both channels are now part of the scenarios. External reviewers were not asked to endorse our conclusions, and any remaining errors are ours.

Other criticisms are still open, and we plan to address many of them in future versions. Reviewers pointed out that the model does not follow individual workers, so it can only paint a very coarse picture of the costs of job displacement. Some questioned whether occupations exposed to AI will shrink at all rather than grow. Some felt the most extreme scenario is better read as a thought experiment than a scenario, while others felt the most modest one understates what is already visible in the data. Several asked us to be clearer that the model does not include the aggregate demand effects driven by the data center buildout. And more than one reviewer argued that we may be underestimating how much AI could accelerate technological progress itself. We agree that many of these are limitations of the current model. The scenario explorer should be viewed as a tool for thinking about what different technological developments would imply for the economy—actual outcomes may differ materially.

Anton Korinek, Chad Jones, Szymon Sacher, Tess Cotter, and Peter McCrory developed the economic model and co-authored the companion technical report. Santi Ruiz wrote this piece with them, with editorial support from Sarah Pollack and Adam Farina. Kelsey Nanan designed and built the interactive experience, with visual design and art direction by Nikki Makagiansar and Monika Tuchowska; Kyle Turman and Szymon Sacher built the scenario explorer and led the translation of the model into interactive form; Fayaz Ashraf and Ryan Heller contributed engineering, and Kim Withee and Maria Gonzalez supported production. Szymon Sacher and Tess Cotter designed and fielded the accompanying surveys with Morning Consult, with support from Ben Fowler. Peter McCrory, Anton Korinek, and Charles Yang coordinated the project, and Jack Clark provided direction throughout. Miriam Chaum, Jack Clark, Saffron Huang, Maxim Massenkoff, and Peter McCrory helped originate this effort. Jim Baker, Shan Carter, Johannes Hermle, Zoë Hitzig, and Eva Lyubich provided feedback.

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