AI technology brings new opportunities for college students' entrepreneurship, but also faces challenges. Here are some main points:
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Students can leverage information asymmetry, using AI technology to help industries reduce costs and increase efficiency, achieving profit margins.
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More and more college students are venturing into AI entrepreneurship, involving various directions such as AI job hunting, AI bartending, and AI-generated packaging.
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Some entrepreneurial project examples:
- Li Mohan's "Laughter Wonderland": AI-assisted xiangsheng script creation
- Dai Jiale's "Wensi Zhikai": Large language model security optimization module
- Bao Jiyuan's "Siyue Technology": AI skin detection and personal care
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Challenges in the entrepreneurial process:
- Technical stability and reliability issues
- Lack of commercialization experience
- Financial pressure
- Limited scenario application experience
- Homogeneous competition
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Suggestions:
- Identify specific fields and application scenarios
- Focus on core technology accumulation
- Collaborate with industry institutions
- Balance academics and entrepreneurship
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AI entrepreneurship requires founders to have technical capabilities, industry insights, and risk resistance abilities.
Overall, AI provides opportunities for college students' entrepreneurship, but it still requires careful risk assessment, finding the right direction, and accumulating experience.