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Liang Wenfeng
Global Rank
#279

Image: Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Hanwei Xu, Honghui Ding, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jingchang Chen, Jingyang Yuan, Jinhao Tu, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaichao You, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Tao Yun, Tian Pei, Tianyu Sun, T. Wang, Wangding Zeng, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang & Zhen Zhang | CC BY 4.0 | via Wikimedia Commons

Liang Wenfeng

CEO, DeepSeek
CHINA
Real-Time Net Worth
$11.5B
Estimated based on DeepSeek stock value as of April 20, 2026
0% (24h)
Age
41
Source
AI, hedge fund
Industry
technology
Citizenship
CHINA

Biography

Liang Wenfeng, born in 1985, is a Chinese entrepreneur and businessman making waves in the tech world. He is the co-founder of High-Flyer, a quantitative hedge fund, and the founder and CEO of DeepSeek, an AI company. Liang's career began in quantitative finance, where he applied machine learning to trading strategies. His early work with High-Flyer, which he co-founded in 2015, involved using AI to manage billions of dollars in assets. In 2023, he founded DeepSeek, an AI firm that has quickly gained recognition for its innovative, cost-effective, and open-source large language models (LLMs). His success has led to a net worth of $11.5 billion. Liang is a key figure in the advancement of AI and has been recognized by Time magazine as one of the 100 Most Influential People in AI in 2025.

Fact Checked
Verified by Editorial Team
Live Data
Updated 4/20/2026

Wealth Over Time

In-Depth Profile

Early Life

Liang Wenfeng was born in 1985 in Wuchuan, Guangdong, China. His parents were primary school teachers. From a young age, he excelled in academics, showing a strong aptitude for math and science. He attended Zhejiang University, where he earned a Bachelor's and Master's degree.

Rise to Success

Liang's career began in finance. In 2015, he co-founded High-Flyer, a quantitative hedge fund. The firm used AI and mathematics to develop investment strategies. High-Flyer quickly became one of China's top quantitative trading firms. By 2021, the firm managed billions in assets. In 2023, Liang founded DeepSeek, an AI company focused on developing advanced AI models.

Key Business Strategies

Liang's approach to DeepSeek has been marked by a focus on efficiency and innovation. He has prioritized algorithmic efficiency and smart architecture over large budgets. His open-source strategy has allowed DeepSeek to compete with larger rivals. He has also emphasized a unique hiring strategy, preferring creativity and fresh perspectives.

Philanthropy

While specific philanthropic details are not readily available, Liang's leadership at DeepSeek demonstrates a commitment to open-source technology, suggesting a broader effort to democratize access to AI and contribute to the advancement of technology for public benefit.

Career Milestones

2015

Co-founded High-Flyer Quant

Co-founded High-Flyer Quant, a quantitative hedge fund.

2019

Founded High-Flyer AI

Founded High-Flyer AI, an AI research lab.

2023

Founded DeepSeek

Founded DeepSeek, an AI company.

2025

Named to Time Magazine's 100 Most Influential People in AI

Recognized by Time magazine for his influence in AI.

Philanthropy & Social Impact

Technology

Open Source AI Development

Undisclosed

DeepSeek's open-source approach to AI development aims to make AI accessible and contribute to the advancement of technology for the public good.

Business Philosophy & Leadership

Notable Quotes

""In the face of disruptive technology, closed-source moats are temporary.""

""We embed value in our team. As colleagues grow and accumulate know-how, forming an innovative organization and culture becomes our moat.""

""We didn't intentionally become a disruptive force; we accidentally became one.""

"“If the end goal is improving social efficiency, it's valid. Everything else is transitional - overthinking leads to confusion.”"

Leadership Principles

Embracing Open Source

DeepSeek's commitment to open-source development promotes accessibility and collaboration within the AI community.

Prioritizing Creativity and Innovation

Liang's emphasis on hiring individuals with diverse backgrounds and fresh perspectives over experience.

Focus on Efficiency

Achieving high-performance AI models through optimized architecture and algorithms rather than relying solely on large budgets.

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