3.3 The AI Application Has a Long Tail Effect, and Achieving Scalability Requires First Achieving Un

AIGC has brought about an explosion in the artificial intelligence industry, and the scaled application of intelligent technology has a typical long tail problem. That is, powerful departments with strong AI capabilities (such as cybersecurity, research institutes, and meteorological bureaus), as well as research institutions and large and medium-sized enterprises, only account for about 20% of the main body of computing power demand. The remaining 80% are small and medium-sized enterprises (SMEs), which are often limited by company size and budget. They often find it difficult to access computing power resources or are constrained by the high cost of computing power, making it hard for them to benefit from the AI era. Therefore, to achieve the scaled application of intelligent technology and make the AI industry both popular and profitable, there is a need for a large amount of affordable and easy-to-use intelligent computing power, allowing SMEs to use computing power conveniently and affordably. Thus, achieving universal access to computing power can support the development of advanced technology, empower more industries with AI, and also bring AI into every household, achieving AI for all.