Summary of Key Points
As an entrepreneur who has experienced the PC and mobile internet eras, Fu Sheng is reorienting his business in the AI era. He believes that young people have greater opportunities due to AI, which provides them with "knowledge equality," and he asserts that "experience is no longer as valuable" (not because it's useless, but because others learn too quickly). He is pushing for his company to become fully AI-driven, using a flat organizational structure and leveraging the energy of young employees to drive business growth. In terms of business strategies, he avoids trendy but impractical ideas like humanoid robots, focusing instead on practical technologies such as wheelchair improvements. Personally, he has overcome his anxiety and returned to his roots as a product manager, learning from the younger generation.
Detailed Analysis
1. The AI Era: How Can Young People Overcome Challenges? — AI Gives Them the Advantages of Giants
The core philosophy behind Fu Sheng's AI initiative, "AI Youth Team," is that AI represents the greatest technological revolution in human history (even more significant than the internet), and young people will benefit the most from this transformation.
- AI and Knowledge Equality: What used to take young people ten years to acquire through experience can now be learned in just a few days with the help of AI. For example, 14-year-old Jiang Zengmuran quickly mastered skills using AI, not only nearly winning the Cheetah AI competition but also earning a prize of 200,000 yuan in another contest. Fu Sheng says, "Today, a teenager can directly utilize the most advanced human intelligence (AI) and stand on the shoulders of giants."
- No Burdens + Fast Learning: Young people are free from the constraints of accumulated experience; they can learn new things more efficiently. For instance, children aged 11-16 at hackathons created an AI fitness app that outperformed Fu Sheng's team's work after just 12 hours and submitted over 50 times. Silicon Valley is now focusing on college students—this isn't fanatical enthusiasm; it's because AI enables young people to quickly turn their ideas into reality.
2. "Experience Is No Longer Valuable" — Not Because It's Useless, but Because Others Learn Faster
Fu Sheng repeatedly emphasizes this point, highlighting the impact of AI on traditional sources of expertise:
- The Devaluation of Experience: What used to require ten years of industry experience can now be obtained with a quick search or consultation via AI. For example, administrative staff using AI to write code often produce solutions that are more practical than those developed by professional programmers.
- The Barrier of Old Experience: From a neuroscientific perspective, the brain connections of older people are fixed, making it harder for them to learn new things. Fu Sheng gives the analogy: "An elderly woman in the US without a Chinese-speaking environment can quickly learn how to shop, but a native speaker struggles with learning a foreign language because their existing neural connections are too strong."
- Education Needs to Change: Fu Sheng believes that diplomas are not as important; universities are more for social interaction, and it's better to let children make mistakes through practical experiences like hackathons. AI is an excellent teacher, offering a "question-and-answer" learning approach (similar to Confucius' method), which is much more efficient than traditional reading (where 80% of the content in books is already known).
3. How to Make a Company AI-Driven? — The Leader Must Lead by Example, and Everyone Should Use AI
Fu Sheng has outlined four steps for transforming his company into an AI-native entity:
- The Leader Must Understand: "If the founder doesn't use AI himself and expects others to transform the company, it's like trying to compete with JD.com without understanding the internet."
- A Revolution in Thinking: Everyone, including administrative staff, must be encouraged to use AI. For example, business teams can create simple systems that, although basic, are useful and help build trust in AI's capabilities.
- Creating Pilot Zones: Establish experimental areas where young employees can drive projects freely, like the team in Xi'an that used AI to develop robots for testing purposes.
- Flatter Organizational Structures: Traditional companies waste a lot of time on communication; with AI, one person can perform multiple roles (e.g., handling sales, pre-sales, and development). Fu Sheng predicts that future organizations will not be hierarchical but will consist of networks connecting people and AI.
4. Being Practical in Business — Rejection of Most Investors, Focus on Practical Technologies
Fu Sheng has become more pragmatic in his business decisions:
- Avoiding Humanoid Robots: Investors suggested focusing on humanoid robots, but Fu Sheng believes they won't be practical for real-world applications for another three to five years (they are mainly for show). Instead, he invested in wheelchair technology with a carbon fiber frame weighing only 15 kilograms that can navigate narrow spaces, addressing the needs of the elderly and disabled.
- Learning from Mistakes: He admits that his earlier attempts at robotics were overly ambitious, leading to excessive hiring. Now, he focuses on small teams that test products iteratively, similar to how startups operate.
- Investment Strategy: His investment in Musical.ly yielded a 20-fold return (5 million to 200 million), but he says it wasn't about foresight; rather, it was about recognizing good potential in the team. Now, he invests in young talent, supporting their entrepreneurial efforts.
5. Fu Sheng's Personal Growth: From Anxiety to Returning to His Roots
Fu Sheng has gone through difficult times (including a 80% drop in overseas revenue) and has realized that others' expectations don't matter:
- Unconcerned with External Opinions: "People may say I haven't created a hit product, but that doesn't bother me. I just need to return to my role as a product manager and focus on technology and user needs."
- Appreciating Restraint: He admires Steve Jobs for his restraint—Apple has billions in cash but focuses on products like watches and headphones, cutting out unprofitable projects. "Restraint is the hardest thing to maintain."
- Learning from the Young: From being a mentor, Fu Sheng has now adopted a student-like attitude, recognizing that young people's AI skills surpass his own.
Conclusion
Fu Sheng's story illustrates how a seasoned internet entrepreneur can "reboot" in the AI era by letting go of past achievements, embracing the youth and new technologies, and finding new opportunities in a practical manner. For everyone, the key takeaway is that in the AI age, learning ability and curiosity are more important than accumulated experience. Don't let past burdens hold you back.