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NewsTopic · AI企业数据经纪市场Material2 min readDisconfirmAI Editorial

AI Labs Pay Millions for Private Corporate Data, Sparking Privacy and Labor Disputes

AI companies are purchasing internal work files, emails, and Slack messages from media firms and corporations for hundreds of thousands to millions of dollars to train models, a booming data brokerage market now facing legal challenges over employee privacy.

2026-11-07 00:00 GMT+8

According to WIRED, an emerging data brokerage industry is quietly collecting and selling internal corporate work files, emails, and Slack messages to AI labs like Anthropic and OpenAI for training more powerful models. The report states that these AI labs are willing to pay between $350,000 and $1.8 million as a one-time fee for a copy of a media company's old work records. Another similar pitch raised the potential deal value to $2 million, claiming that "public data is exhausted, and the labs are spending over $45 billion on private data to build better models."

Industry leaders include startups such as Mercor, Micro1, and Handshake. Mercor, founded in 2023, is considered the sector leader, with its three co-founders becoming billionaires last year. Ali Ansari, CEO of Micro1, stated that labs, enterprises, and robotics companies currently pay about $40 to $50 billion annually for data, predicting this will exceed $1 trillion per year within two to four years. Ansari believes that selling workflow data will become a more common revenue line item for companies than advertising.

Although data brokerages claim they strip personally identifiable information (PII) during transmission, privacy advocates and labor unions have expressed concern. During its bankruptcy, Spirit Airlines put its digital assets—including 80,000 email accounts, 500 million internal messages, and 20.6 million SharePoint files—up for sale, triggering a bidding war between Google and Micro1. However, the flight attendants' union charged that the sale involved employees' private information, leading to a hold on the transaction. Mayu Tobin-Miyaji, General Counsel at the Electronic Privacy Information Center (EPIC), noted that unstructured data like emails and Teams messages are difficult to fully anonymize and may leak sensitive content regarding doctor's appointments or family issues.

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This trend has sparked deeper discussions about labor rights. Critics argue that AI companies are using workers' output to train models designed to replace or automate human work, often without explicit consent. As the president of the flight attendants' union stated: "This is really only data that became valuable in the age of AI in order to train models to replace jobs."

Sources

  • wired.comWIRED↗
Topic

AI企业数据经纪市场

【背景】随着公开互联网数据枯竭,AI实验室正转向购买企业内部工作流数据以训练模型,催生了由Mercor、Handshake和Micro1主导的数据经纪市场。该市场报价从数十万至数百万美元不等,涉及邮件、Slack记录及代码库等敏感资产。

8 steps1 piecesUpdated 2026-11-07 01:14

How it got here

  1. 2023-01-01Mercor成立,随后迅速成为AI数据经纪领域的行业领导者,其三位联合创始人在22岁时成为亿万富翁。wired.com ↗
  2. 2026-01-01美国加州CCPA新的风险评估要求生效,规定处理敏感个人信息或使用AI进行自动化决策的企业必须开展并记录风险评估。venturebeat.com ↗
  3. 2026-05-27DataGrail发布《2026年隐私与AI趋势报告》,指出63.6%的AI软件供应商未披露第三方AI子处理程序,存在影子AI风险。venturebeat.com ↗

What is still unsettled

  • 匿名化技术是否能真正消除从企业内部工作流数据中提取个人身份信息(PII)的风险?
  • 随着监管罚款增加和企业对IP泄露担忧加剧,数据经纪市场是否会向更严格的合规审计或本地化部署转型?
  • Spirit Airlines破产拍卖的最终裁决结果将如何影响未来企业私有数据交易的合法性边界?
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