How should we make good use of AI in the era of AI? Last year, I personally talked about spending more time interacting with AI than interacting with people every day, which is considered a very early deep user. I believe that by now, most people cannot do without AI. So how to make good use of it? First, let me share my personal opinion: Nowadays is an era of abundant content and viewpoints are not scarce. What is truly scarce are unique thinking chains, logical chains, cognitive and analytical frameworks, and unique perspectives. 1. Cognitive analysis framework, thought chain, and logical chain Nowadays, a large part of the content is generated by AI, which is actually not a big deal. What is truly valuable is never "who wrote it" or "how many words", but your unique perspective on the problem, the entire thinking framework, the cognitive and analytical logic chain, and your grasp of the underlying logic of the industry. These are your 'operating systems', AI is just a super accelerator, data validation, and dimension expansion engine. There is no need to advertise the content as "pure original", because in the era of content explosion, that kind of advertising is already outdated. AI is our super assistant, and we need to learn how to use AI. It's not just about chatting, but about giving AI our thinking chain, logical chain, and cognitive framework, allowing them to collect data information, verify, and expand along our framework and perspective. Let AI run the "extended brain" of data along the given thought chain, logical chain, and cognitive framework. This is the most crucial and core. Why is framework important? 1) The framework allows you not to get lost in the torrent of information, knowing what is important, what is not important, and how to connect. 2) A unique perspective allows you to see connections or counterintuitive points that others cannot see. We each have our own cognitive system, analytical framework, as well as our own thought and logical chains. These are closely related to our own professional experience, growth path, and deliberate training. To borrow Munger's words, it is our "grid" of the world, which is not rote memorization, but a transferable thinking operating system. These frameworks are not something that AI can invent on its own, at least not in the unique way you want at the moment. AI can help you enrich, validate, digitize, and contextualize these frameworks, but the soul, boundary conditions, priority, and trade-off judgments of the framework must come from yourself. 2. The correct way to use AI Feed your framework to it. It's not just about chatting, but about giving AI your complete thought chain, logical chain, and cognitive framework, and letting it follow your coordinate system: 1) Collect the latest data (real-time industry trends, cases, finance, regulation, etc.). 2) Validate your hypothesis (find counterexamples, stress tests, edge cases). 3) Expansion (new scenarios, potential risks, second/third order effects, combination possibilities). Give a practical example (using industry analysis as an example): Assuming you have an underlying logical framework of 'platform vs vertical integration+network effect attenuation+regulatory friction'. The prompt you give to AI can be structured in this way (which is already considered advanced prompt engineering, combined with cognitive chain CoT+roles+framework constraints): You are now my industrial strategy analyst, strictly using the following framework to analyze problems: Framework Core: 1) The evolution of competitive advantages between platform based and vertically integrated models 2) When does the network effect begin to decay (multilateral vs unilateral, supply side vs demand side) 3) How regulatory and geopolitical factors change cost structures and entry barriers 4) First principles decomposition: underlying requirements, physical/technological constraints, capital efficiency The content output in this way carries your soul, not a generic template. AI has become your 'data researcher+stress tester+scenario simulator'. You can even combine multiple frameworks into a 'personal knowledge operating system', allowing AI to switch or merge between different frameworks 3. The most important thing is the courage to take action In fact, the most scarce are action and courage. When you see it right, can you take immediate action? Are you using chips to bet on your judgment. Ideas are even less valuable in the AI era - AI can generate 100 in 10 seconds. But firm judgments supported by frameworks, immediate action, and willingness to bet resources are still extremely scarce. Many people have "seen" the trend, but because: 1) Not having a clear enough framework (high uncertainty, afraid of mistakes) 2) Lack of courage (comfort zone, sunk costs, social proof) 3) Not ready to bet with real chips (time, money, career path) And miss or give up halfway. So in the end, only action and courage are the true bet that can turn judgment into chips (time, money, reputation, resources). In short, from a personal perspective, the survival and evolutionary logic of the AI era: 1) Content is not scarce 2) Opinions are not scarce 3) Unique framework+perspective+logical chain: human core asset → extreme scarcity 4) Using frameworks to command AI collection/validation/expansion: super leverage 5) Take action immediately after seeing it and bet with chips: Decisive scarcity. Finally, it can be raised a bit higher and viewed from a higher dimension. In the future, we all have to answer one question: How should we coexist with AI in the era of AI? Humans are responsible for defining problems, setting coordinate systems, making final judgments, and placing bets; AI is responsible for "running data at high speed in the coordinate system, finding patterns, and conducting stress tests". The truly powerful people are not those who "don't use AI" or "rely entirely on AI", but rather those who iterate their thinking framework more and more sharply, and then make AI run wildly along this framework. In the era of AI, this gap will be further magnified: People with frameworks use AI leverage to exponentially distance themselves; People without frameworks will only produce more homogeneous content or viewpoints; This is the core competitiveness of the AI era