The $2 Billion Researcher

JUNYANG LIN, the 32-year-old former lead of Alibaba's Qwen models, is closing a funding round that will reportedly value his ten-week-old AI lab at roughly $2bn, on a raise of several hundred million dollars from Gaorong Capital and HongShan, the firm formerly known as Sequoia China. The Information first reported the talks on Tuesday. The lab has no name yet, no product yet, and no employees beyond those Mr Lin can persuade to follow him out of Alibaba's Tongyi campus in Hangzhou. What it has is a founder whose three years running Qwen produced more than 400 open-weight model releases and, in the assessment of one investor who declined to participate, "a talent worth over one hundred million US dollars" before any code is shipped. The round is being marked up against him.

The valuation is not, on its face, a Chinese number. Domestic AI labs at this stage have historically priced an order of magnitude below their American counterparts; even Zhipu and Minimax, the two largest of the previous Chinese cohort, raised most of their early capital at sub-billion-dollar marks before their recent Hong Kong listings carried them higher. Mr Lin's round, by contrast, slots neatly into the researcher-founder template that has set the price of frontier talent in San Francisco for the past two years. Safe Superintelligence, the lab Ilya Sutskever, OpenAI's former chief scientist, co-founded in 2024, raised $1bn at a $5bn valuation when it was three months old. Thinking Machines Lab, founded by Mira Murati, OpenAI's former chief technology officer, closed its first round last July at $12bn on a $2bn raise. Pre-product, pre-revenue, pre-headcount, the credentialed researcher has become an asset class. Mr Lin's round says the asset class travels.