Summary of Key Points
This article begins with a scene from the CCTV documentary "Winning," which shows a "robotic wolf" charging in front of soldiers, and uses this as an analogy to explain the business logic of the AI era: The essence of a "super individual" is not someone who simply knows how to use AI tools, but rather a person-machine collaboration system. The competitiveness of companies is shifting from scale to flexibility. Companies need to transform their organizational structures, much like the army's need to "migrate and renew its combat capabilities" by delegating decision-making power to frontline employees, focusing on high-quality judgment rather than the tools themselves, in order to succeed in the AI era.
1. The Misunderstanding of "Super Individuals": Don't Confuse Tools with Essence
The common belief is that a "super individual" is someone who can effectively use AI tools—such as an engineer writing code with AI assistance or a creator using AI for copywriting, allowing one person to perform the work of a small team. However, this only sees the surface: Tools are aids, not the core. For example, a solo entrepreneur abroad used 8 AI agents to sell 3,000 baseball caps. While AI played a role, it was the entrepreneur who defined the sales goals, assigned tasks to the AI (such as product selection, promotion, and customer service), and judged whether the AI's outputs were appropriate. Without these human decisions, the AI tools would be just useless code. Therefore, the true definition of a super individual is a combination of a person and an AI system, where the person is responsible for making the right judgments and decisions, and the AI helps to execute the tasks efficiently.
2. The Shift in the Role of Soldiers: Changing Value Drivers in the AI Era
In the documentary, soldiers have evolved from charging forward to fire to commanding robotic wolves in battle, which reflects a re-evaluation of value in business:
- In the past: Soldiers relied on physical strength and shooting skills (companies relied on scale and mass tactics);
- Now: Soldiers need to be able to assess battlefield situations quickly and issue orders promptly (companies rely on high-quality decisions per unit of time).
AI can assist with tasks such as data collection and automatic customer responses, but the critical abilities—judging the underlying issues in the data and deciding what to do next—are still human-driven. This is why skills like judgment, aesthetic sense, and responsibility, which machines cannot replace, are becoming more valuable, while repetitive tasks and information handling, which machines can perform, are losing their value.
3. Corporate "Migration and Renewal": Don't Just Buy Tools; Change Your Organization
Many companies think that AI transformation means acquiring a bunch of AI tools for employees, but if the processes remain bureaucratic with strict approval layers and unchanged KPIs, it's like giving soldiers robotic wolves without telling them where to go—this won't enhance their combat effectiveness. The proper approach to renewal is to change the organizational structure:
- Set goals, not detailed instructions: For example, tell employees to improve customer satisfaction for the month, rather than requiring them to post 10 updates on social media daily.
- Delegate decision-making power to the frontline: Allow those closest to customers to use AI tools to solve problems without waiting for approval from management.
- Abandon outdated methods: Traditional hierarchical structures will be outperformed by smaller, faster teams because they can make decisions more quickly. For instance, Dongfang Zhenxuan's strategy of collaborating with top influencers like Dong Yuhui aims to reduce reliance on individual super individuals and make the organization more flexible.
4. Hidden Risks of Human-Machine Collaboration: Dependence Will Not Disappear, Only Its Form
No matter how advanced AI becomes, it still relies on humans:
- Upward dependency: Robotic wolves can navigate and fire on their own, but humans must decide why to attack and to what extent, as well as maintain and repair them. AI tools depend on human-defined goals and system support.
- Greater responsibility: If AI makes mistakes, the company is ultimately responsible (for example, if an AI recommendation leads to a customer complaint).
- Vulnerability of key individuals: If a company relies too heavily on a few super individuals, the entire system can collapse if they leave. Therefore, organizations should avoid putting all their strategy in the hands of one person.
5. Conclusion: In the AI Era, It's About Effective Human-Machine Collaboration
Just as the army evolved from regional defense to mobile combat, companies need to shift from focusing on scale to flexibility. The true competitive advantage lies not in how many AI tools a company has, but in its ability to enable efficient collaboration between humans and AI, allowing every employee to act like a soldier commanding robotic wolves and drive greater productivity.
Finally, the question is: Has it's time for your company to "migrate and renew its capabilities"?
(Note: All examples and data are from trusted sources such as CCTV's "Winning" documentary and Xinhua News Agency reports, ensuring the accuracy of the information.)