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Therefore, getting on the bus now is cost-effective! Here, I would like to recommend the mixed C of advantageous industries in Xinao. Produced by big companies! Trustworthy!From the perspective of the general industry cycle, consumer electronics has also entered the bottom region of the cycle, which makes the industry decline limited. From the catalyst point of view, there is room for upward with the iterative stimulation of AI and the increment of automobile electronics.The level of education in the world is getting higher and higher, and the speed of information dissemination is getting faster and faster. The emergence of a new thing is bound to spread rapidly. Many people will say, I don't use ai, so I don't like it. But it doesn't matter, the advancement of technology is profit-driven. When ai really realizes large-scale commercialization, most people will use it. What we have to do is not to develop ai, but to get on this bus and have a soup.

Consumer electronics is one of the industries with high certainty.If we look at it with the final thinking, the software must be carried on the hardware, whether it is a pc or a mobile phone, it will eventually be AI Hardware. The development of AI will bring a new round of development opportunities to hardware vendors. NVIDIA is already a ready-made case, but many of us dare not buy it. The next best thing is that domestic consumer electronics can be expected.Consumer electronics is one of the industries with high certainty.

Therefore, getting on the bus now is cost-effective! Here, I would like to recommend the mixed C of advantageous industries in Xinao. Produced by big companies! Trustworthy!Consumer electronics is one of the industries with high certainty.The level of education in the world is getting higher and higher, and the speed of information dissemination is getting faster and faster. The emergence of a new thing is bound to spread rapidly. Many people will say, I don't use ai, so I don't like it. But it doesn't matter, the advancement of technology is profit-driven. When ai really realizes large-scale commercialization, most people will use it. What we have to do is not to develop ai, but to get on this bus and have a soup.