Translated data: How much smaller is the space and number of opportunities for trial and error for entrepreneurial teams now entering the AI field compared to a few years ago during the mobile wave? At least an 80% to 90% decrease. Earlier, venture capital had a very high tolerance for risk, and investment decisions were easily approved, but now there are some changes. What should be particularly emphasized in AI entrepreneurship now? Revenue! It is imperative to earn money first. Investors' attitudes towards AI entrepreneurship have also become more cautious, focusing more on the business model and revenue-generating capabilities. The combination of AI applications and enterprise service markets is expected to change the situation where SaaS is not favored by capital. In the AI race, sharpening the knife is a prerequisite for making big money. Entrepreneurial teams need to possess the comprehensive abilities of "MSHTC" - Dream Architect, Executor, Industry Veteran, Technical Leader, and Content Head.