The demand from AI labs for high-skilled professionals (engineers, lawyers, doctors) to create evals and training data created a historic business opportunity. Mercor capitalized on this by creating an expert labor marketplace, becoming the fastest-growing company in history.
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AI startup Mercore's valuation quintupled to $10B by connecting AI labs with domain experts to train models. This reveals that the most critical bottleneck for advanced AI is not just data or compute, but reinforcement learning from highly skilled human feedback, creating a new "RL economy."
LLMs have hit a wall by scraping nearly all available public data. The next phase of AI development and competitive differentiation will come from training models on high-quality, proprietary data generated by human experts. This creates a booming "data as a service" industry for companies like Micro One that recruit and manage these experts.
Founders can waste time trying to force an initial idea. The key is to remain open-minded and identify where the market is surprisingly easy to sell into. Mercor found hypergrowth by pivoting from general hiring to serving the intense, specific needs of AI labs.
For over a year, Mercor focused 100% of its resources on product and customer experience, forgoing a sales team. This deep focus on flagship customers in a tight-knit industry (AI labs) generated powerful word-of-mouth that fueled its historic growth.
Traditional hourly billing for engineers is obsolete when AI creates 10x productivity. 10X compensates engineers based on output (story points), aligning incentives with speed and efficiency. This model allows top engineers to potentially earn over a million dollars in cash compensation annually.
The economic incentive for VCs funding AI is replacing human labor, a $13 trillion market in the US alone. This dwarfs the $300 billion SaaS market, revealing the ultimate goal is automating knowledge work, not just building software.
In the current market, AI companies see explosive growth through two primary vectors: attaching to the massive AI compute spend or directly replacing human labor. Companies merely using AI to improve an existing product without hitting one of these drivers risk being discounted as they lack a clear, exponential growth narrative.
Merco's explosive growth and $10B valuation are less about its standalone business and more a direct proxy for the AI CapEx boom. With massive customer concentration among foundation models, its success is a high-leverage bet that AI giants will continue their massive spending on training for the next 3-5 years.
Mercore's $500M revenue in 17 months highlights a shift in AI training. The focus is moving from low-paid data labelers to a marketplace of elite experts like doctors and lawyers providing high-quality, nuanced data. This creates a new, lucrative gig economy for top-tier professionals.
While data labeling companies show massive revenue growth, their customer base is often limited to a few frontier AI labs. This creates a lopsided market where providers have little leverage, compete on price, and are heavily dependent on a handful of clients, making the ecosystem potentially unstable.
