Cambricon a.k.a. ‘China’s Nvidia’ says revenue spiked 14-fold last quarter. The ensuing stock frenzy made its CEO one of the world’s richest people

Core Insights - Cambricon Technologies, founded by Chen Tianshi, has seen a significant increase in its market value and revenue, positioning itself as a leading player in the AI chip market in China, often referred to as "China's Nvidia" [1][2] Financial Performance - Cambricon reported a 14-fold increase in quarterly revenue, achieving a net profit of $79.6 million (567 million yuan), a substantial turnaround from a net loss of $27.2 million (194 million yuan) a year ago, marking a 1,332% increase [1] - Following the earnings report, Cambricon's stock surged by 15%, contributing to a $2.4 billion increase in Chen Tianshi's net worth, which now stands at approximately $24.1 billion [2] Market Context - The company's success reflects China's strategic push to develop domestic semiconductor alternatives amid escalating U.S. trade restrictions, particularly the ban on advanced AI chip exports to China [3] - Cambricon's growth is seen as a response to the need for domestic companies to reduce reliance on Nvidia products, creating opportunities for local chipmakers [3][4] Company Background - Cambricon was founded in 2016 as a spinoff from the Chinese Academy of Sciences by Chen Tianshi and his brother Chen Yunji, both of whom have strong academic backgrounds in mathematics and computer science [4] - The company went public on Shanghai's STAR Market in July 2020, with shares increasing by 230% on debut, but it faced seven consecutive years of annual losses until achieving its first quarterly profit in late 2024 [5] Competitive Landscape - Cambricon supplies AI chips to major Chinese tech firms such as Alibaba, Tencent, and Baidu, but faces stiff competition from Huawei, which shipped between 300,000 and 400,000 Ascend AI chips last year compared to Cambricon's over 10,000 units [6] - Analysts project that Cambricon could deliver 80,000 units through the remainder of 2025 and potentially double that in 2026, indicating growth potential in the competitive AI chip market [6]