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First, regarding the feasibility of AI computing personal advantage opportunities; Second, regarding the practical path to achieving the automation of "topic selection - creation - publication". Part One: Can AI "calculate" the Best Opportunities for Individuals? The conclusion is: It is completely possible and this is becoming a reality, but the key lies in the method of "calculation" and the required input. AI cannot calculate your chances out of thin air, but it can serve as a super decision support system. Its logic is similar to that of the "American Computing Advantage Industry", but it needs to incorporate personal dimension data. The implementation path is as follows: Specifically, you need: Define your "personal data" : You need to clearly sort it out and tell the AI Hard power: Your core skills, work experience, areas of professional knowledge, available funds and resources. Soft power: Your interests, personality traits (whether you are good at sales, communication or research), values (whether you pursue high income or work-life balance). Constraints: The amount of time you can invest each day/week, the risk level you can tolerate, and the expected return period. Clarify the AI's analysis tasks: Then, you can command the AI to perform the following analysis tasks based on the above data: Scan macro trends: Analyze policy reports and industry research reports to identify growth industries related to your skills (such as new energy, AI applications, and the silver economy). Match micro demands: Crawl recruitment websites (high-end positions), e-commerce platforms (detailed product demands), and content platforms (hotspots of knowledge payment) to identify the "niche markets" with strong demand and unsaturated competition. Conduct cross-analysis: Match your personal data with market data and provide specific, stratified suggestions. For example: You have a background in electronic engineering and writing skills. Currently, there is a scarcity of content on "Smart Home Solution Evaluation"....

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