Practical tutorial on corporate survival and evolution under AI-driven private board sessions



📚Video Course
🕒Last updated: 10/27/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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This course is the complete recording of a private board closed-door offline training session (April 9-12, 2026), totaling 26 hours of HD video. These days, getting more than 200 entrepreneurs to set aside time and sit down to seriously discuss their company's next step is not easy. That trust carries weight. The core of this sharing is how AI enters the deep operations of a company: making products, doing R&D, driving traffic, driving growth, and also managing and organizing. How to use the technology, how to run the business, how the organization keeps up - these are discussed together.

The lecturers themselves are a tech organization aggressively driving AI adoption across the entire workforce. From departments and roles to workflows, from front-end growth to back-end delivery, they practice, validate, and iterate inside their own company every day. First produce results in their own operations, then bring the methods to the stage. That is the confidence, and it is also the proper accounting owed to this price and this trust. AI changes fast, and being able to turn change into results together with a group of people who seriously run businesses is something worth long-term investment. Four days, 205 entrepreneurs, called the best private board session for AI transformation of Chinese enterprises.

This private board session does not talk about what AI can do - that was last year's question. It talks about where your company will stand in six to twelve months, and what you should do today. Many AI training programs, AI consulting services, and AI private board sessions on the market tend to make the same mistake: setting tomorrow's goals based on today's AI capabilities. It sounds pragmatic, but the result is that you are forever chasing tool updates, model iterations, and other people's best practices, and the moment you catch up, the frontier has moved ahead again - always half a beat behind. The course does the reverse: first travel to the future six to twelve months out, see where AI's capability boundary lies at that point, what business rules have become, which roles have disappeared, which models have already been proven, then return and stand in today to tell you which action to take now. This is not prediction - prediction is gambling; this is reverse engineering looking back from the endgame. 205 entrepreneurs, four days, and the point is not to teach them to use AI, but to help them return from the future.

The course content is suitable for company founders, operators, and senior executives to watch repeatedly. When learning, you can combine it with your own company's current product, R&D, traffic, growth, management, and organizational situation, and sort out lists while watching: which links can use AI first to improve efficiency, which role responsibilities need redefinition, and which business moves need to be laid out in advance within six to twelve months. The course emphasizes advancing technology, business, and organization on three parallel lines, and suggests that core team members study together and discuss in sync, turning on-site viewpoints into execution plans suitable for their own company, rather than stopping at concepts and anxiety.

[Course catalog]
  • 1.0409 Zhongyin Meeting
  • 2.4.10-4.12 Zhongwen session (audio)
  • 3.4.12 Corporate keynote in the AI era (screen-recorded angle)

💡 Learning Tip:The course content is based on industry practices at the time of publication. It is recommended to combine your study with the latest platform rules.

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