{
  "id": 14259261,
  "title": "AI companies are offering businesses up to $2 million for something their employees create every day",
  "url": "https://urgent.news/2026/10/13/ai-companies-are-offering-businesses-up-to-2-million-for-something",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T17:35:07.000Z",
  "source": {
    "name": "Fast Company",
    "slug": "fast-company",
    "url": "https://www.fastcompany.com/91622918/ai-companies-are-offering-businesses-up-to-2-million-for-something-their-employees-create-every-day"
  },
  "original_language": "en",
  "account": "Businesses are being offered up to $2 million for the data their employees generate daily, as companies race to collect workplace information to train AI agents. AI data brokers are eager to acquire this data, leading to aggressive offers for businesses to sell their information. Micro1, a Palo Alto-based startup, is providing an unlimited $50,000 referral bonus for companies that agree to participate in their data partnership program. The value of the data depends on the amount of information, the exclusivity of the business, and the expertise of the field. However, the demand for this data is so high that many companies are finding themselves inundated with offers. While the data is typically scrubbed of sensitive information, there is still a risk that it may not be fully anonymized. This new market for mundane workplace interactions could lead to pushback from employees who may not be aware of how their data is being monetized, and there are currently no federal privacy laws in place to prevent this practice.",
  "summary": "Lest you have any illusions, you have zero privacy at work. But AI is further encroaching on any semblance of privacy you may currently have. Forget the prolific workplace surveillance tools, now your Slack messages with colleagues or your emails with customers could be worth millions. That’s because a burgeoning industry for mundane workplace data is seeing companies sell their workplace data to…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}