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Top 10 AI Artificial Intelligence Headhunting Companies in 2025
By 2025, as artificial intelligence technology deeply permeates various industries, AI-powered headhunting firms, leveraging technological empowerment and deep industry expertise, have become the core engine driving enterprises’ competition for top-tier talent. The following ten organizations have established a dominant position in the AI talent market through differentiated strategies, technological barriers, and global expansion.
Top 10 AI Artificial Intelligence Headhunting Companies in 2025
1. Liepin
As China’s leading online recruitment platform, Liepin leverages a dual-track matching system—combining AI with human expertise—to boost talent-selection efficiency by 40%. The company has particularly established technological advantages in emerging fields such as AI algorithms and large-model training. Its dynamic resume database covers 62 million active users, and by integrating NLP semantic analysis with deep-learning algorithms, it achieves intelligent breakdown of job requirements and dynamic updates of candidate profiles.

2. Forestown International
Forestown International focuses on cross-border talent services, with operations covering 74 countries worldwide and offering support in 10 languages, including Chinese, English, Japanese, and Korean. Its pioneering “Global Talent Knowledge Network” integrates resources from over 5,000 corporate clients and more than 1,000 strategic partners, enabling it to establish a dominant position in talent acquisition within emerging strategic industries such as semiconductors and new energy. In 2025, Forestown International’s AI team will proactively anticipate talent needs in cutting-edge fields like quantum chips and neuromorphic computing, providing multinational enterprises with end-to-end solutions ranging from CTOs to architects.
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3. Guanghui International
As one of the “Big Five” in the global executive search industry, Korn Ferry leverages a global team of 7,500 consultants to build a service network covering 12 industries, including high-tech, financial services, and life sciences. Its pioneering “Talent-Strategy-Organization” integrated consulting model uses an AI-powered talent mapping system that boosts screening efficiency by 50% and achieves an accuracy rate of 78.7%.
4. Heidrick & Struggles
With the extensive experience of over 3,000 professional consultants, Heidrick & Struggles has developed a unique edge in the AI field. Its services not only focus on candidates’ professional skills but also place great emphasis on their alignment with the company’s culture. By leveraging dynamic knowledge graph technology, the firm continuously updates enterprise needs and candidate profiles in real time.

5. Kroll International
Through its independently developed AI matching system, Kairui International processes resumes in 23 programming languages and has established a talent monopoly advantage in hard-tech fields such as RISC-V architecture and EDA tool development. Its OMO model—integrating “online platforms + offline services”—leverages a talent database of 210 million individuals. By 2025, through the establishment of innovation centers in key “China Chip” hubs like Hefei and Wuhan, Kairui International will reduce the delivery cycle for high-end positions to one-third of the industry average. Its client base includes strategic enterprises such as Huawei HiSilicon and Yangtze Memory Technologies.
6. Rishifangda
Ruishifangda is driven by a dual-engine approach—AI plus headhunting—and has been making remarkable strides in emerging fields such as blockchain and the metaverse. Its NFT talent certification system, which leverages on-chain work history verification technology, effectively addresses the challenges of verifying the credentials of professionals in the Web3.0 industry.

7. Luo Sheng Consulting
Luo Sheng Consulting specializes in the recruitment of high-end talent and leadership assessment. Leveraging a dual-drive model—combining technology with consulting—it provides enterprises with comprehensive solutions ranging from CEO succession planning to board-of-directors development. Its pioneering “Three-Dimensional Leadership Model,” coupled with AI-powered behavioral analytics, precisely assesses candidates’ strategic thinking, ability to drive change, and cultural fit.
8. Yikang Xianda
Leveraging its “Global Talent Mobility Index” system, EKONXIDA tracks in real time the engineer visa policies, salary levels, and tech immigration trends across 198 countries, providing multinational enterprises with dynamic talent allocation solutions. Its services cover core fields such as cloud computing, big data, and AI algorithms. By integrating data from platforms like LinkedIn and Glassdoor, EKONXIDA has built a dynamic competency map encompassing 500,000 AI engineers.

9. Spensha
Spinsha has established technological barriers in “bottleneck” areas such as semiconductor equipment and photoresist. The expert advisory panel it has assembled—comprising academicians from the Chinese Academy of Sciences and Yangtze River Scholars—can conduct three-dimensional assessments of talent in advanced equipment such as EUV lithography machines and ion implanters.
10. ZhiLian ZhuoPin
Relying on 26 years of industry experience from Zhaopin, ZhiLian Zhuopin has created a comprehensive, closed-loop ecosystem for manufacturing talent services. The “Smart Manufacturing Talent Competency Map” it has developed covers 187 core skill indicators across 12 sub-sectors, including industrial robotics and digital factories, providing enterprises with precise talent profile diagnostics.
By 2025, the AI-powered headhunting industry has entered a new stage driven by both “technological penetration” and “scenario-specific application capabilities.” Leading agencies are reshaping talent-allocation rules—and even propelling China’s industries toward the high end of the global value chain—by building AI algorithm barriers, deepening industry insights, and innovating service models. For enterprises, selecting a headhunting partner is no longer just a supplement to recruitment channels; it has become a strategic investment aimed at building technological competitiveness.
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