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Docs: US data labeling companies, like Surge AI and Mercor, that sell AI training datasets to US labs and the government are also selling them to Chinese labs

Forbes Anna Tong

Context & Ripple Effects

Recent coverage has focused on Chinese access to US AI capabilities through model sales via Singapore-based subsidiaries and a BIS inquiry into possible advanced-chip access for Chinese model training. The reported dataset sales identify a separate commercial input channel that sits alongside those model- and chip-focused concerns.

Because Surge AI and Mercor serve US labs and the US government as well as Chinese labs, their customer base puts AI-training data supply inside both public procurement and cross-border AI-access debates.

First-order effects

  • US government and US AI-lab customers of Surge AI and Mercor face immediate vendor-governance questions because the same suppliers also sell training datasets to Chinese AI labs.
  • Chinese AI labs gain access to US-based commercial labeling and dataset suppliers rather than relying solely on domestic data-tagging capacity.

Second-order effects

  • The disclosure sharpens the gap highlighted by US model sales to Chinese-linked subsidiaries: controls aimed at advanced models or chips do not automatically govern the training-data supply chain.
  • BIS's examination of Chinese companies' chip access makes data vendors a more relevant adjacent target for scrutiny, especially where their customers include US government agencies.

Third-order effects

  • If AI controls broaden from compute and model access to training inputs, dual-market data-labeling vendors may face pressure to separate government-facing and China-facing business lines.
  • AI procurement is becoming a geopolitical control point: government buyers may increasingly evaluate suppliers by where training inputs and services ultimately flow.

The trend: US AI policy is moving from restrictions on frontier chips and models toward scrutiny of the commercial suppliers that provide the inputs for model training.

Discussion

  • @alexandr_wang Alexandr Wang on x
    concerning that data companies serving the US government (mercor, surge) are also working with Chinese AI labs. serving the US government should not be a commercial convenience, it must be a bedrock principle for startups.
  • @jordanschneider Jordan Schneider on x
    surprised this took this long to break
  • @joeymannarino Joey Mannarino on x
    So, Mercor is reportedly helping Chinese AI companies while also securing work from the U.S. government. Per Forbes, Mercor works with Tencent and Alibaba and has hired an engagement manager specifically for China. Tencent has been designated by the Pentagon as associated with
  • @aakashsabharwal Aakash Sabharwal on x
    American companies should not be selling data to Chinese AI labs. @scale_AI doesn't do this work, and we have turned down revenue because of it. The companies that do are undermining American AI leadership and risking national security.
  • @jason @jason on x
    Is this why China is catching up so quickly?
  • @annatonger Anna Tong on x
    The AI arms race isn't just being fought over Nvidia chips. Chinese labs are matching OpenAI and Anthropic by purchasing the exact same data from US vendors like @mercor_ai and Surge AI (who also work with the US federal govt) https://www.forbes.com/... [image]
  • @ksorbs Kevin Sorbo on x
    why are we actively helping China? stop selling out to foreign countries. [image]
  • @danielremler Daniel Remler on x
    Significant vulnerability for American AI here—one reason why Chinese developers benefit from adversarial distillation is because they don't have indigenous firms like Scale and Mercor with expert data. If they can just buy the datasets directly...
  • Hunter Hayden Hunter Hayden on linkedin
    Those who benefit most from the freedoms, infrastructure, and opportunity the U.S. provides are often the first to sell it out to China for a quick buck. …