AI Companies Are Buying Workplace Emails and Files to Train Models

Artificial intelligence labs are buying private work records, emails, and chat messages to train their systems, creating a booming market for company data. Because public information has run dry, labs are spending tens of billions of dollars on private data to build better models.

Startup companies and data brokers are reaching out to businesses and individuals to purchase old work files, call transcripts, and internal messages. Industry leaders like Mercor, Micro1, and Handshake act as middlemen to acquire databases, academic papers, and company workflows. Mercor cofounder Brendan Foody explained that major AI labs were frustrated by the poor quality of simulated expert data, pushing them to seek out the messiness of actual operating businesses. Micro1 CEO Ali Ansari estimated that labs, enterprises, and robotics companies currently spend between $40 billion and $50 billion a year on data, a figure he expects will exceed a trillion dollars annually within a few years.

This data gold rush occasionally involves dramatic bidding wars. When the bankrupt Spirit Airlines put its digital assets up for sale, including 80,000 email accounts and 500 million internal messages, Micro1 topped Google's bid by $2.5 million.

That sale is currently on hold because a flight attendants' union challenged it, arguing that the transaction compromises workers' private information. Data companies claim they strip out all personal identifying information before handing it over to AI models. However, privacy experts warn that unstructured data in emails and chat messages can easily hide sensitive details about family issues or medical appointments.

Critics also point out a deeper concern. Workers are often enlisted, without explicit consent, to supply the very information used to train AI models that may eventually automate or replace human jobs.

Summary

The growing market for workplace data reveals that AI labs view human work records as essential raw material. While data brokers promise that personal details are scrubbed away, the practice raises serious questions about worker privacy and the ethics of using employee communications to build job-replacing technology.

Disclosure: This article was made with the help of AI.