许多企业正著手进行捕捉员工隐性制度知识的项目，以使人工智慧模型更强大且更有利可图。然而，这项努力引发了重大的组织紧张关系，因为员工担心自己被要求去训练最终将取代他们的技术。包括 Synopsys 的 Thomas Andersen 和 Teradata 的 Josh Fecteau 在内的行业高管都承认，人类对于下载专家知识存在天然的抵触情绪，因为在许多情况下，这些知识正是个人的竞争优势。

尽管来自 Walmart 的企业领袖、Amazon 创始人 Jeff Bezos 以及 Microsoft 执行长 Satya Nadella 将这些人工智慧计划界定为赋能和增强员工能力的投资，但经济学家警告了不同的历史趋势。从历史上看，软体开发人员和雇主更倾向于使用使工作自动化的工具，而不是增强劳动力的工具，这使得公司能够削减劳动成本和工人的工资。这种动态引发了对人类智能价值的加倍审视，正如聊天机器人智能的计量收费模式所面临的审视一样。

为了应对这些挑战，专家和政策制定者提出了管理知识产权和财富分配的替代方法。Texas A&M University 的管理学教授 Matthew Call 建议员工使用个人人工智慧工具而非企业模型，以保留其知识的所有权，并考虑就其知识的采集和使用进行集体谈判。此外，参议员 Bernie Sanders 提议建立一个主权财富基金，以便让建立在人类集体知识之上的人工智慧回报能惠及公众，而 Anthropic 的 Peter McCrory 则强调，这种知识落差本质上是一个组织问题，而非技术问题。

Many corporations are embarking on projects to capture employees' tacit institutional knowledge to make artificial intelligence models more powerful and profitable. However, this effort has created significant organizational tension, as employees fear they are being asked to train the technology that will ultimately replace them. Industry executives, including Thomas Andersen of Synopsys and Josh Fecteau of Teradata, acknowledge this human resistance to downloading expert knowledge, which often serves as an individual's competitive advantage.

While corporate leaders from Walmart, Amazon founder Jeff Bezos, and Microsoft CEO Satya Nadella frame these artificial intelligence initiatives as investments to empower and augment workers, economists warn of a different historical trend. Historically, software developers and employers have favored tools that automate work rather than augment labor, which has allowed companies to reduce labor costs and workers' wages. This dynamic has drawn increased scrutiny toward the value of human intelligence, mirroring debates over chatbot pricing models.

To address these challenges, experts and policymakers suggest alternative approaches to managing intellectual property and wealth distribution. Matthew Call, a management professor at Texas A&M University, advises employees to use personal artificial intelligence tools instead of corporate models to retain ownership of their knowledge, and to engage in collective bargaining. Additionally, Senator Bernie Sanders has proposed a sovereign wealth fund to distribute returns from artificial intelligence, which was built on humanity's collective knowledge, while Anthropic's Peter McCrory highlights that this knowledge gap is primarily an organizational rather than a technical issue.