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Feishu Doubao Work AI Pioneer Future Talent Competition: Companies Are Fighting Over People Who Can Use AI to Get Things Done

On October 20, the grand final of the Feishu Doubao Work AI Pioneer Future Talent Competition was held in Beijing. 12 teams of contestants competed around real business problems of enterprises, using Feishu and Doubao Work to complete research, collaboration and delivery of results, subject to on-site examination by entrepreneurs, business leaders and university scholars.

On October 20, the grand final of the Feishu Doubao Work AI Pioneer Future Talent Competition was held in Beijing. 12 teams of contestants competed around real business problems of enterprises, using Feishu and Doubao Work to complete research, collaboration and delivery of results, subject to on-site examination by entrepreneurs, business leaders and university scholars.

Guests attending the event included Xie Xin, CEO of Feishu; Tang Binsen, founder of Genki Forest; Zhao Yan, Chairman and CEO of Bloomage Biotechnology; Hou Yameng, General Manager of Proya Cosmetics; Wang Dong, Vice President of Human Resources at Xiaomi Group; Luo Bin, co-founder of Gaotu Group; Gong Yin, CIO of Anker Innovations; Qi Lu, head of Insta360 Research Institute and CAIO; Jiang Li, Director of the Center for AI, Robotics and Future Education at Stanford University; Li Ning, Professor and Head of the Department of Leadership and Organization Management at Tsinghua University School of Economics and Management; and Jiang Changjian, Associate Professor at Fudan University's School of International Relations and Public Affairs and Deputy Director of the Global Center for AI Innovation Governance.

Xie Xin, CEO of Feishu

Speaking about the motivation for holding the competition, Xie Xin said that on one end, Feishu connects to the advanced companies students aspire to join and understands enterprises' demand for AI talent; on the other end, it also sees that college students still face uncertainty in career choices in the AI era. The competition aims to bridge this talent mismatch, allowing students and enterprises to meet through real business. What companies need is not people who can use AI to write PPTs, but people who can use AI to solve real problems and deliver results; the works allow companies to see students' potential and judge how they will work in the future.

At the event, Feishu and Doubao Work, together with the International University Alliance for Digital Intelligence Education Development, jointly released the "Panoramic Observation of Talent Standards in the AI Era," aggregating data from more than 4,300 teams and the talent views of 108 companies. Xie Xin said he hopes to give more young people the opportunity to solve real business problems, and let those who can truly get things done be seen by companies earlier — "For future AI talent, first look at AI pioneers."

From Corporate Briefs to Business Results: Works Become the New Proof of Ability

After on-site roadshows, judges' questions and comprehensive review, "Qiuyangli Pipeline" won the gold award, "Jianwei Zhitan" and "Anxin Dispatch" won silver awards, and "XwX," "Andong Evergreen Team" and "We Love vibe coding" won bronze awards.

More noteworthy than the rankings is why companies are willing to give opportunities to a student. Educational background and major remain reference factors, but companies increasingly value whether students can understand real business, use AI correctly, and turn ideas into verifiable results. Hou Yameng said that the future talent companies need must not only be able to use AI tools, but also be able to transform knowledge into business applications, drive AI to land in real scenarios, and master AI rather than be led around by it.

In the Yuntu Holdings project, Zhang Qingqing used Feishu and Doubao Work to build a production dispatch digital employee "Anxin," converting production, supply and sales information into dispatch decisions. Zhao Yan said that the AI talent companies need must not only be able to go deep into industry and solve real problems, but also understand how to define physical, business and safety boundaries; not just use AI to generate solutions, but understand businesses such as procurement, production and equipment operation, and drive AI implementation while maintaining those boundaries.

Facing Shanhai Xingchen's brief on "one-person production crews and hit content going overseas," Qiu Yang, Li Shujie and Yang Hao used Doubao Work to build an AI content production pipeline. Traditional live-action short dramas require 25 to 40 days and cost 500,000 to 1 million yuan, while the team could complete a 120-minute short drama in as fast as 3 days for 3,000 yuan.

In the Raytron "Jianwei Zhitan" project, contestants Zheng Yifan and Zhang Yifan proposed: "The radar is responsible for seeing, AI is responsible for understanding, and people only need to make decisions at critical moments." The team used Feishu and Doubao Work to build an end-to-end handling workflow, allowing radar recognition results to truly enter business decisions.

When evaluating the Guoka Technology "Guoran Zhilian" project, Tang Binsen said that the AI talent companies need are not those who use AI to write PPTs, but those who can go deep into the supply chain, turn underwater business rules into executable solutions, genuinely reduce waste and improve efficiency, and ultimately reflect it in financial statements.

In the AI era, a major is no longer the boundary of ability. Sun Meng, who holds a bachelor's and master's degree in history from Fudan University, designed an AI travel companion product for Chimelong Group. She said that although history and AI product design seem far apart, both require discovering problems, reasoning through problems and solving them — "Perhaps this is exactly the meaning of a general education."

Dozens of Companies Bring Job Openings to the Scene, Competition Becomes a "Mini Autumn Recruitment Fair"

The most exciting part of the grand final was the students' reverse selection of Offers. "Andong Evergreen Team," "We Love vibe coding" and "Qiuyangli Pipeline" entered the reverse selection round. Companies brought real positions and development opportunities to the contestants, and the three teams made choices based on job direction, growth potential and business interest, with multiple companies offering full-time offer choices on site. This segment moved companies and talent from one-way screening to two-way selection: companies identify people through their works, and students get to know companies through real business.

Company Hiring Open Mic Session

That morning, dozens of companies participated in the "Company Hiring Open Mic." Campus recruitment representatives from companies such as Bloomage Biotechnology, Shanhai Xingchen and Proya presented their openings on site, while students frequently asked questions about job requirements, AI skills and career paths. The competition thereby became a "mini autumn recruitment fair" where students and companies could talk directly and obtain career opportunities.

This competition gave contestants access to all Feishu AI features and unlimited Token benefits, with more than 80% of Token usage occurring in Doubao Work. For students, Doubao Work helps them turn knowledge into works and ability into opportunities; for companies, the competition offers a way of identifying talent that is closer to real work than resume screening.

The competition conveys a clear judgment: future talent is people who can collaborate with AI and turn real problems into results. Being able to use Doubao Work is not just mastering a tool — it means being able to understand business, organize collaboration, master AI, and take responsibility for results. AI capability is becoming a new standard requirement for college students' competitive development.

This article was provided by Feishu Doubao Work and reprinted with authorization by QbitAI; the views belong to the original author.

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