“`json
{
“processed_title”: “Mercor’s $10B Paradox: Hiring Goldman Experts to Train Their AI Replacements”,
“processed_content”: “
Mercor, a three-year-old AI startup, has officially reached a staggering $10 billion valuation by identifying a lucrative niche in the generative AI boom: the expertise gap. Operating as a high-end “headhunter” for AI giants like OpenAI and Anthropic, Mercor sources elite talent from top-tier firms such as Goldman Sachs, McKinsey, and prestigious white-shoe law firms.
The business model is as fascinating as it is ironic. These subject matter experts are paid up to $200 per hour to document their deep industry knowledge, which is then used to train advanced Large Language Models (LLMs). Essentially, top-tier human capital is being leveraged to teach AI systems the very skills needed to automate white-collar work. This creates a unique economic paradox where experts are effectively being compensated to accelerate the potential obsolescence of their former roles. As Mercor bridges the gap between proprietary human insight and machine capability, it raises critical questions about the future value of seniority and the speed at which AI will disrupt high-skill industries.
“,
“tags”: “Mercor, AI, OpenAI, Future of Work, Artificial Intelligence, Startups”
}
“`
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